Kelsy C. Cotto

3.1k citations
16 papers · 1.4k indexed · 3 hit papers · h-index 7
Topics
Cancer Genomics and Diagnostics (7 papers)Bioinformatics and Genomic Networks (5 papers)Genomics and Phylogenetic Studies (4 papers)

In The Last Decade

Kelsy C. Cotto

14 papers receiving 1.4k citations

Hit Papers

Integration of the Drug–Gene Interaction Database (DGIdb ...2017202620202023202020172023100200300400500

Peers

Kelsy C. Cotto
Comparison fields: 5 of 104
  • Molecular Biology 860
  • Cancer Research 292
  • Pulmonary and Respiratory Medicine 248
  • Genetics 210
  • Immunology 179
Replace Adam Coffman with:
Adam Coffman United States
Susanna Kiwala United States
Nicholas C. Spies United States
Mulin Jun Li China
Heonjong Han South Korea
Stefan Hamann United States
Dabin Jeong South Korea
Esra Göv Türkiye
Eunbeen Kim South Korea
Ryan A. Miller United States
Kelsy C. Cotto relative to Adam Coffman United States Adam Coffman's profile →
Citations per field
00.5×1.5×
Adam Coffman · 1×
Citations per year

Countries citing papers authored by Kelsy C. Cotto

Since Specialization
Citations

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

Fields of papers citing papers by Kelsy C. Cotto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kelsy C. Cotto. 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 Kelsy C. Cotto. The network helps show where Kelsy C. Cotto may publish in the future.

Co-authorship network of co-authors of Kelsy C. Cotto

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1
DGIdb 5.0: rebuilding the drug–gene interaction database for precision medicine and drug discovery platformsbreakdown →
142
2 8
3 6
4 1
5 4
6 8
7 4
8
Integration of the Drug–Gene Interaction Database (DGIdb 4.0) with open crowdsource effortsbreakdown →
580
9 1
10 0
11 2
12 6
13 0
14 7
15
DGIdb 3.0: a redesign and expansion of the drug–gene interaction databasebreakdown →
551
16 107

About Kelsy C. Cotto

Kelsy C. Cotto is a scholar working on Cancer Research, Pharmacology and Molecular Biology, having authored 16 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (7 papers), Bioinformatics and Genomic Networks (5 papers) and Genomics and Phylogenetic Studies (4 papers). The work is most often cited by research in Cancer Research (292 citations), Biological Psychiatry (34 citations) and Molecular Biology (860 citations). Kelsy C. Cotto has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Malachi Griffith, Obi L. Griffith, Adam Coffman, Susanna Kiwala, Alex H. Wagner, Joshua F. McMichael, Jonathan J Song, Sharon L. Freshour, Yang-Yang Feng and Nicholas C. Spies. Their work appears in journals such as Nucleic Acids Research, Cancer Research and Scientific Reports.

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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