Girish Chavan

493 total citations
7 papers, 252 citations indexed

About

Girish Chavan is a scholar working on Molecular Biology, Artificial Intelligence and Cancer Research. According to data from OpenAlex, Girish Chavan has authored 7 papers receiving a total of 252 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Artificial Intelligence and 2 papers in Cancer Research. Recurrent topics in Girish Chavan's work include Biomedical Text Mining and Ontologies (5 papers), Semantic Web and Ontologies (3 papers) and Cancer Genomics and Diagnostics (2 papers). Girish Chavan is often cited by papers focused on Biomedical Text Mining and Ontologies (5 papers), Semantic Web and Ontologies (3 papers) and Cancer Genomics and Diagnostics (2 papers). Girish Chavan collaborates with scholars based in United States. Girish Chavan's co-authors include Kevin J. Mitchell, Eugene Tseytlin, Rebecca S. Jacobson, Melissa Castine, Elizabeth Legowski, Michael D. Feldman, Rebecca S. Crowley, Olga Medvedeva, Harry Hochheiser and Sean Finan and has published in prestigious journals such as Cancer Research, BMC Bioinformatics and Journal of the American Medical Informatics Association.

In The Last Decade

Girish Chavan

7 papers receiving 240 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Girish Chavan United States	5	167	156	26	22	20	7	252
John X. Qiu United States	7	240 1.4×	144 0.9×	30 1.2×	51 2.3×	19 0.9×	10	320
Thomas M. Gudewicz United States	9	127 0.8×	115 0.7×	24 0.9×	30 1.4×	16 0.8×	14	343
Wen-wai Yim United States	7	214 1.3×	129 0.8×	54 2.1×	76 3.5×	32 1.6×	13	339
Matthias Ganzinger Germany	9	62 0.4×	87 0.6×	51 2.0×	9 0.4×	9 0.5×	35	281
John Sharko United States	6	113 0.7×	76 0.5×	17 0.7×	16 0.7×	6 0.3×	8	314
Karen He United States	6	29 0.2×	83 0.5×	23 0.9×	13 0.6×	13 0.7×	12	230
Shang Xue China	5	53 0.3×	48 0.3×	15 0.6×	48 2.2×	9 0.5×	9	238
Ilona Binenbaum Greece	7	24 0.1×	71 0.5×	46 1.8×	24 1.1×	22 1.1×	12	265
Vianney Jouhet France	9	54 0.3×	56 0.4×	27 1.0×	9 0.4×	46 2.3×	34	182

Countries citing papers authored by Girish Chavan

Since Specialization

Citations

This map shows the geographic impact of Girish Chavan'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 Girish Chavan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Girish Chavan more than expected).

Fields of papers citing papers by Girish Chavan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Girish Chavan. 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 Girish Chavan. The network helps show where Girish Chavan may publish in the future.

Co-authorship network of co-authors of Girish Chavan

This figure shows the co-authorship network connecting the top 25 collaborators of Girish Chavan. A scholar is included among the top collaborators of Girish Chavan 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 Girish Chavan. Girish Chavan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

1.

Savova, Guergana, Eugene Tseytlin, Sean Finan, et al.. (2017). DeepPhe: A Natural Language Processing System for Extracting Cancer Phenotypes from Clinical Records. Cancer Research. 77(21). e115–e118. 65 indexed citations

2.

Savova, Guergana, Eugene Tseytlin, Sean Finan, et al.. (2017). DeepPhe - A Natural Language Processing System for Extracting Cancer Phenotypes from Clinical Records.. AMIA. 1 indexed citations

3.

Tseytlin, Eugene, et al.. (2016). NOBLE – Flexible concept recognition for large-scale biomedical natural language processing. BMC Bioinformatics. 17(1). 32–32. 72 indexed citations

4.

Jacobson, Rebecca S., Michael J. Becich, Roni J. Bollag, et al.. (2015). A Federated Network for Translational Cancer Research Using Clinical Data and Biospecimens. Cancer Research. 75(24). 5194–5201. 27 indexed citations

5.

Crowley, Rebecca S., et al.. (2010). caTIES: a grid based system for coding and retrieval of surgical pathology reports and tissue specimens in support of translational research. Journal of the American Medical Informatics Association. 17(3). 253–264. 73 indexed citations

6.

Brusilovsky, Peter, Sergey Sosnovsky, Michael Yudelson, & Girish Chavan. (2005). Interactive Authoring Support for Adaptive Educational Systems. 96–103. 10 indexed citations

7.

Legowski, Elizabeth, et al.. (2005). A method for automated detection of usability problems from client user interface events.. PubMed. 654–8. 4 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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