James A. Kadin

5.8k total citations
38 papers, 2.7k citations indexed

About

James A. Kadin is a scholar working on Molecular Biology, Cancer Research and Artificial Intelligence. According to data from OpenAlex, James A. Kadin has authored 38 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Artificial Intelligence. Recurrent topics in James A. Kadin's work include Bioinformatics and Genomic Networks (24 papers), Biomedical Text Mining and Ontologies (22 papers) and Gene expression and cancer classification (19 papers). James A. Kadin is often cited by papers focused on Bioinformatics and Genomic Networks (24 papers), Biomedical Text Mining and Ontologies (22 papers) and Gene expression and cancer classification (19 papers). James A. Kadin collaborates with scholars based in United States, France and United Kingdom. James A. Kadin's co-authors include Joel E. Richardson, Carol J. Bult, Janan T. Eppig, Judith A. Blake, Martin Ringwald, Cynthia L. Smith, Terry F. Hayamizu, Constance M. Smith, Jacqueline H. Finger and Mary Mangan and has published in prestigious journals such as Nucleic Acids Research, Nature Genetics and Genome biology.

In The Last Decade

James A. Kadin

37 papers receiving 2.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
James A. Kadin United States 24 2.0k 710 196 153 141 38 2.7k
Dominik Seelow Germany 19 1.8k 0.9× 1.2k 1.7× 217 1.1× 92 0.6× 149 1.1× 50 2.6k
Alexis Battle United States 27 2.0k 1.0× 1.2k 1.7× 323 1.6× 249 1.6× 86 0.6× 56 2.9k
Cynthia L. Smith United States 27 2.4k 1.2× 588 0.8× 109 0.6× 233 1.5× 228 1.6× 59 3.2k
Ryan K. C. Yuen Canada 27 2.2k 1.1× 1.4k 2.0× 395 2.0× 151 1.0× 109 0.8× 49 3.7k
Seth Carbon United States 9 1.2k 0.6× 271 0.4× 166 0.8× 132 0.9× 103 0.7× 16 1.8k
Hamed S. Najafabadi Canada 23 2.1k 1.1× 357 0.5× 396 2.0× 179 1.2× 104 0.7× 64 2.8k
Menachem Fromer United States 21 1.2k 0.6× 897 1.3× 201 1.0× 72 0.5× 84 0.6× 37 2.1k
Eleanor Williams United Kingdom 11 1.4k 0.7× 361 0.5× 236 1.2× 87 0.6× 67 0.5× 16 1.9k
Frank H. Eeckman United States 12 1.9k 1.0× 788 1.1× 163 0.8× 141 0.9× 175 1.2× 26 3.4k
David Kulp United States 20 3.3k 1.7× 1.1k 1.6× 283 1.4× 252 1.6× 146 1.0× 35 4.8k

Countries citing papers authored by James A. Kadin

Since Specialization
Citations

This map shows the geographic impact of James A. Kadin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by James A. Kadin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James A. Kadin more than expected).

Fields of papers citing papers by James A. Kadin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James A. Kadin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by James A. Kadin. The network helps show where James A. Kadin may publish in the future.

Co-authorship network of co-authors of James A. Kadin

This figure shows the co-authorship network connecting the top 25 collaborators of James A. Kadin. A scholar is included among the top collaborators of James A. Kadin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with James A. Kadin. James A. Kadin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ringwald, Martin, Joel E. Richardson, Richard M. Baldarelli, et al.. (2021). Mouse Genome Informatics (MGI): latest news from MGD and GXD. Mammalian Genome. 33(1). 4–18. 28 indexed citations
2.
Jiang, Xiangying, Pengyuan Li, James A. Kadin, et al.. (2020). Integrating image caption information into biomedical document classification in support of biocuration. Database. 2020. 6 indexed citations
3.
Smith, Constance M., James A. Kadin, Richard M. Baldarelli, et al.. (2020). GXD’s RNA-Seq and Microarray Experiment Search: using curated metadata to reliably find mouse expression studies of interest. Database. 2020. 3 indexed citations
4.
Howe, Douglas G., Judith A. Blake, Yvonne M. Bradford, et al.. (2018). Model organism data evolving in support of translational medicine. Lab Animal. 47(10). 277–289. 27 indexed citations
5.
Smith, Cynthia L., et al.. (2017). Mouse Genome Database (MGD)-2018: knowledgebase for the laboratory mouse. Nucleic Acids Research. 46(D1). D836–D842. 154 indexed citations
6.
Blake, Judith A., Janan T. Eppig, James A. Kadin, et al.. (2016). Mouse Genome Database (MGD)-2017: community knowledge resource for the laboratory mouse. Nucleic Acids Research. 45(D1). D723–D729. 179 indexed citations
7.
Eppig, Janan T., Joel E. Richardson, James A. Kadin, et al.. (2015). Mouse Genome Database: From sequence to phenotypes and disease models. genesis. 53(8). 458–473. 12 indexed citations
8.
Bult, Carol J., et al.. (2015). Mouse genome database 2016. Nucleic Acids Research. 44(D1). D840–D847. 80 indexed citations
9.
Smith, Constance M., Jacqueline H. Finger, Terry F. Hayamizu, et al.. (2015). GXD: a community resource of mouse Gene Expression Data. Mammalian Genome. 26(7-8). 314–324. 18 indexed citations
10.
Eppig, Janan T., Joel E. Richardson, James A. Kadin, et al.. (2015). Mouse Genome Informatics (MGI): reflecting on 25 years. Mammalian Genome. 26(7-8). 272–284. 29 indexed citations
11.
Blake, Judith A., et al.. (2013). The Mouse Genome Database: integration of and access to knowledge about the laboratory mouse. Nucleic Acids Research. 42(D1). D810–D817. 150 indexed citations
12.
Smith, Constance M., Jacqueline H. Finger, Terry F. Hayamizu, et al.. (2013). The mouse Gene Expression Database (GXD): 2014 update. Nucleic Acids Research. 42(D1). D818–D824. 65 indexed citations
13.
Bult, Carol J., et al.. (2012). The Mouse Genome Database: Genotypes, Phenotypes, and Models of Human Disease. Nucleic Acids Research. 41(D1). D885–D891. 53 indexed citations
14.
Blake, Judith A., et al.. (2010). The Mouse Genome Database (MGD): premier model organism resource for mammalian genomics and genetics. Nucleic Acids Research. 39(Database). D842–D848. 197 indexed citations
15.
Finger, Jacqueline H., Constance M. Smith, Terry F. Hayamizu, et al.. (2010). The mouse Gene Expression Database (GXD): 2011 update. Nucleic Acids Research. 39(Database). D835–D841. 64 indexed citations
16.
Blake, Judith A., et al.. (2008). The Mouse Genome Database genotypes::phenotypes. Nucleic Acids Research. 37(Database). D712–D719. 90 indexed citations
17.
Bult, Carol J., Judith A. Blake, James A. Kadin, et al.. (2007). P4-S The Mouse Genome Informatics Database: An Integrated Resource for Mouse Genetics and Genomics.. Journal of Biomolecular Techniques JBT. 18(1). 2–2. 2 indexed citations
18.
Smith, Constance M., Jacqueline H. Finger, Terry F. Hayamizu, et al.. (2006). The mouse Gene Expression Database (GXD): 2007 update. Nucleic Acids Research. 35(Database). D618–D623. 69 indexed citations
19.
Ringwald, Martin, et al.. (1999). GXD: a Gene Expression Database for the laboratory mouse. Nucleic Acids Research. 27(1). 106–112. 34 indexed citations
20.
Ringwald, Martin, Janan T. Eppig, James A. Kadin, & Joel E. Richardson. (1999). Gene expression database for the laboratory mouse. Nature Genetics. 23(S3). 70–71. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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