This looks like it's going to be about the right solution when it is complete. Thank you for the link.
Has anyone ever tried out the Oracle at Bacon? http://oracleofbacon.org/
So you put in two names of actors (say Alex Trebek and Sasha Grey) and it'll draw the shortest path between them. Anything like this for Pubmed? Or could be adapted for Pubmed searches? Another thought would be something like a Wordle on author names to see which authors they've published with the most.
This kind of thing is more of a thought. It could be useful for finding reviewers who are perhaps more independent in a narrow discipline. I like the Pubmed2Wordle App that Andrew Su made some time back: http://pubmed2wordle.appspot.com/
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Here is a relevant web-server http://meshop.oicr.on.ca/meshop/index.html in which one of my friend is doing his PhD research. This site has indexed over 18 million PubMed literatures and has been devised to address the same problem you have mentioned. However, Author-To-Author comparison is still under development.
Pierre is correct - the main obstacle to doing this is author name ambiguity. This is not a solved problem, although there is active research in this area, which may help get you going the right direction: http://onlinelibrary.wiley.com/doi/10.1002/meet.2009.1450460218/full
You may also want to look into methods that include location of corresponding authors, which has led to some pretty (interesting) results: http://olihb.com/2011/01/23/map-of-scientific-collaboration-between-researchers/
Thanks Casey. The paper looks like it's on the right track. The map looks very cool, too. If IMDB can do disambiguation, I have to believe we can pull it off for scientists.
Identifying authors is a very difficult and tedious task, and most organizations won't do it. ZFIN.org identifies authors of zebrafish related papers, if the author works primarily in zebrafish. If you wanted to do a research project, they might make their dataset available, even if it doesn't reflect all authors.
Harvard Profiles provides a disambiguation service. See details here
http://profiles.catalyst.harvard.edu/docs/ProfilesRNS_DisambiguationEngine.pdf
You might also be intereseted in a new(ish) effort, called ORCID (Open Researcher and Contributor ID). "ORCID aims to solve the author/contributor name ambiguity problem in scholarly communications by creating a central registry of unique identifiers for individual researchers ..."
Also a great idea. I would get one of these. I gather they'd also be useful for the John Smiths and Wen Lis of the research community.
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