Kelsy C. Cotto

3.1k total citations · 3 hit papers
16 papers, 1.4k citations indexed

About

Kelsy C. Cotto is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Kelsy C. Cotto has authored 16 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Cancer Research and 3 papers in Immunology. Recurrent topics in Kelsy C. Cotto's work include Cancer Genomics and Diagnostics (7 papers), Bioinformatics and Genomic Networks (5 papers) and Genomics and Phylogenetic Studies (4 papers). Kelsy C. Cotto is often cited by papers focused on Cancer Genomics and Diagnostics (7 papers), Bioinformatics and Genomic Networks (5 papers) and Genomics and Phylogenetic Studies (4 papers). Kelsy C. Cotto collaborates with scholars based in United States, Canada and Germany. Kelsy C. Cotto's 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 and has published in prestigious journals such as Nucleic Acids Research, Cancer Research and Scientific Reports.

In The Last Decade

Kelsy C. Cotto

14 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Integration of the Drug–Gene Interaction Database (DGIdb 4.0) with open crowdsource efforts

2020 580 citations Sharon L. Freshour, Susanna Kiwala et al. Nucleic Acids Research profile →
DGIdb 3.0: a redesign and expansion of the drug–gene interaction database

2017 551 citations Kelsy C. Cotto, Alex H. Wagner et al. Nucleic Acids Research profile →
DGIdb 5.0: rebuilding the drug–gene interaction database for precision medicine and drug discovery platforms

2023 142 citations Matthew Cannon, James Stevenson et al. Nucleic Acids Research profile →

Peers

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

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16 of 16 papers shown

#	Work	Indexed citations
1	DGIdb 5.0: rebuilding the drug–gene interaction database for precision medicine and drug discovery platforms breakdown → 2023 ·Nucleic Acids Research ·Matthew Cannon, James Stevenson, (unknown), (unknown), Adam Coffman, Susanna Kiwala, Joshua F. McMichael, Kori Kuzma, (unknown), Kelsy C. Cotto, Elaine R. Mardis, Obi L. Griffith, Malachi Griffith, Alex H. Wagner	142
2	Personalized ctDNA micro-panels can monitor and predict clinical outcomes for patients with triple-negative breast cancer 2022 ·Scientific Reports ·Erica K. Barnell, Bryan Fisk, Zachary L. Skidmore, Kelsy C. Cotto, Anamika Basu, (unknown), Megan M. Richters, Jingqin Luo, Catrina C. Fronick, Meenakshi Anurag, Robert S. Fulton, Matthew J. Ellis, Obi L. Griffith, Malachi Griffith, Foluso O. Ademuyiwa	8
3	Genomic and transcriptomic somatic alterations of hepatocellular carcinoma in non-cirrhotic livers 2022 ·Cancer Genetics ·Zachary L. Skidmore, Jason Kunisaki, Yiing Lin, Kelsy C. Cotto, Erica K. Barnell, Jasreet Hundal, Kilannin Krysiak, Vincent Magrini, Lee Trani, Jason Walker, Robert S. Fulton, Elizabeth M. Brunt, Christopher A. Miller, Richard K. Wilson, Elaine R. Mardis, Malachi Griffith, William C. Chapman, Obi L. Griffith	6
4	Abstract 1215: pVACsplice: Predicting neoantigens from tumor-specific alternative splicing events derived from cis-acting regulatory mutations using whole exome and RNA sequencing data 2022 ·Cancer Research ·Megan M. Richters, Kelsy C. Cotto, Susanna Kiwala, Huiming Xia, Beatriz M. Carreno, Gavin P. Dunn, Antoni Ribas, Obi L. Griffith, Malachi Griffith	1
5	In Silico Epitope Prediction Analyses Highlight the Potential for Distracting Antigen Immunodominance with Allogeneic Cancer Vaccines 2021 ·Cancer Research Communications ·(unknown), Peter Ronning, Darren R. Cullinan, Kelsy C. Cotto, Erica K. Barnell, Katie M. Campbell, Zachary L. Skidmore, Dominic E. Sanford, S. Peter Goedegebuure, William E. Gillanders, Obi L. Griffith, William G. Hawkins, Malachi Griffith	4
6	Exploring the Genomic Landscape of Cancer Patient Cohorts with GenVisR 2021 ·Current Protocols ·Zachary L. Skidmore, Katie M. Campbell, Kelsy C. Cotto, Malachi Griffith, Obi L. Griffith	8
7	CIViCpy: A Python Software Development and Analysis Toolkit for the CIViC Knowledgebase 2020 ·JCO Clinical Cancer Informatics ·Alex H. Wagner, Susanna Kiwala, Adam Coffman, Joshua F. McMichael, Kelsy C. Cotto, Thomas B. Mooney, Erica K. Barnell, Kilannin Krysiak, Arpad Danos, Jason Walker, Obi L. Griffith, Malachi Griffith	4
8	Integration of the Drug–Gene Interaction Database (DGIdb 4.0) with open crowdsource efforts breakdown → 2020 ·Nucleic Acids Research ·Sharon L. Freshour, Susanna Kiwala, Kelsy C. Cotto, Adam Coffman, Joshua F. McMichael, Jonathan J Song, Malachi Griffith, Obi L. Griffith, Alex H. Wagner	580
9	8. Integrating genomic and transcriptomic data to identify splice altering mutations across 35 cancer types 2020 ·Cancer Genetics ·Kelsy C. Cotto, Yang-Yang Feng, Zachary L. Skidmore, Avinash Ramu, Jason Kunisaki, Donald F. Conrad, Yiing Lin, William C. Chapman, Ravindra Uppaluri, Ramaswamy Govindan, Obi L. Griffith, Malachi Griffith	1
10	65. Accurate neoantigen prediction depends on mutation position relative to patient-specific MHC anchor locations 2020 ·Cancer Genetics ·Huiming Xia, Megan M. Richters, Cody A. Ramirez, (unknown), Kelsy C. Cotto, Gavin P. Dunn, Todd A. Fehniger, Antoni Ribas, William E. Gillanders, Obi L. Griffith, Malachi Griffith	0
11	Abstract 2136: RegTools: Integrative analysis of genomic and transcriptomic data to identify splice altering mutations across 35 cancer types 2020 ·Cancer Research ·Kelsy C. Cotto, Yang-Yang Feng, Zachary L. Skidmore, Avinash Ramu, Jason Kunisaki, Donald F. Conrad, Yiing Lin, William C. Chapman, Ravindra Uppaluri, Ramaswamy Govindan, Obi L. Griffith, Malachi Griffith	2
12	Open-Sourced CIViC Annotation Pipeline to Identify and Annotate Clinically Relevant Variants Using Single-Molecule Molecular Inversion Probes 2019 ·JCO Clinical Cancer Informatics ·Erica K. Barnell, Adam Waalkes, (unknown), Kelsi Penewit, Kelsy C. Cotto, Arpad Danos, (unknown), Katie M. Campbell, Kilannin Krysiak, Damian Rieke, Nicholas C. Spies, Zachary L. Skidmore, Colin C. Pritchard, Todd A. Fehniger, Ravindra Uppaluri, Ramaswamy Govindan, Malachi Griffith, Stephen J. Salipante, Obi L. Griffith	6
13	Abstract 2487: Application of RegTools to TCGA samples for the identification of tumor-specific splice variants 2019 ·Cancer Research ·Kelsy C. Cotto, Yang-Yang Feng, Zachary L. Skidmore, Obi L. Griffith, Malachi Griffith	0
14	Abstract 2285: Regtools: Integrated analysis of genomic and transcriptomic data for discovery of mutations associated with aberrant splicing in cancer 2018 ·Cancer Research ·Yang-Yang Feng, Avinash Ramu, Zachary L. Skidmore, Jason Kunisaki, Kelsy C. Cotto, Obi L. Griffith, Malachi Griffith	7
15	DGIdb 3.0: a redesign and expansion of the drug–gene interaction database breakdown → 2017 ·Nucleic Acids Research ·Kelsy C. Cotto, Alex H. Wagner, Yang-Yang Feng, Susanna Kiwala, Adam Coffman, Gregory C. Spies, (unknown), Nicholas C. Spies, Obi L. Griffith, Malachi Griffith	551
16	ORegAnno 3.0: a community-driven resource for curated regulatory annotation 2015 ·Nucleic Acids Research ·Robert Lesurf, Kelsy C. Cotto, Grace Wang, Malachi Griffith, (unknown), Steven J.M. Jones, Stephen B. Montgomery, Obi L. Griffith	107

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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