Rachel Karchin

43.3k total citations · 1 hit paper
98 papers, 5.9k citations indexed

About

Rachel Karchin is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Rachel Karchin has authored 98 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Molecular Biology, 42 papers in Genetics and 25 papers in Cancer Research. Recurrent topics in Rachel Karchin's work include Genomics and Rare Diseases (27 papers), Cancer Genomics and Diagnostics (25 papers) and Genomics and Phylogenetic Studies (17 papers). Rachel Karchin is often cited by papers focused on Genomics and Rare Diseases (27 papers), Cancer Genomics and Diagnostics (25 papers) and Genomics and Phylogenetic Studies (17 papers). Rachel Karchin collaborates with scholars based in United States, United Kingdom and Italy. Rachel Karchin's co-authors include Kevin Karplus, Bert Vogelstein, Kenneth W. Kinzler, Hannah Carter, David L. Masica, Collin Tokheim, Christopher Douville, D.N. Cooper, Peter D. Stenson and Mark Diekhans and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Rachel Karchin

94 papers receiving 5.8k citations

Hit Papers

align trajectories sort by overperformance

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.

Accumulation of driver and passenger mutations during tumor progression

2010 565 citations Sining Chen, Rachel Karchin et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rachel Karchin United States	41	4.1k	1.6k	1.6k	899	462	98	5.9k
Steffi Oesterreich United States	49	4.7k 1.2×	1.8k 1.1×	1.8k 1.1×	2.5k 2.8×	1.1k 2.3×	216	7.8k
Chai Yin Kok United Kingdom	10	4.4k 1.1×	2.4k 1.4×	972 0.6×	1.6k 1.8×	939 2.0×	14	6.5k
Marketa Zvelebil United Kingdom	49	5.8k 1.4×	863 0.5×	670 0.4×	1.6k 1.7×	380 0.8×	102	8.2k
Michiel Vermeulen Netherlands	53	10.5k 2.6×	1.0k 0.6×	1.3k 0.8×	1.1k 1.3×	299 0.6×	182	12.2k
Sampsa Hautaniemi Finland	49	4.9k 1.2×	1.6k 0.9×	1.1k 0.7×	1.5k 1.7×	777 1.7×	186	7.6k
Matthew J. Marton United States	18	7.5k 1.8×	2.8k 1.7×	1.4k 0.8×	2.5k 2.7×	767 1.7×	45	10.6k
Derek Y. Chiang United States	31	3.9k 0.9×	1.8k 1.1×	656 0.4×	1.1k 1.3×	561 1.2×	57	6.0k
Reinhold Schäfer Germany	41	3.8k 0.9×	1.1k 0.7×	456 0.3×	1.3k 1.5×	358 0.8×	132	5.9k
Syed Haider United Kingdom	36	3.3k 0.8×	1.6k 0.9×	602 0.4×	1.0k 1.2×	597 1.3×	111	5.0k
Thomas D. Wu United States	33	3.7k 0.9×	1.6k 1.0×	565 0.4×	1.1k 1.3×	491 1.1×	57	7.0k

Countries citing papers authored by Rachel Karchin

Since Specialization

Citations

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

Fields of papers citing papers by Rachel Karchin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rachel Karchin

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

All Works

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20 of 20 papers shown

Huang, Justin, Willemijn S.M.E. Theelen, Zineb Belcaid, et al.. (2025). Combination of pembrolizumab and radiotherapy induces systemic antitumor immune responses in immunologically cold non-small cell lung cancer. Nature Cancer. 6(10). 1676–1692. 5 indexed citations

Skaist, Alyza, Yan Zhang, Nicholas J. Roberts, et al.. (2024). Islands of genomic stability in the face of genetically unstable metastatic cancer. PLoS ONE. 19(12). e0298490–e0298490. 1 indexed citations

Kessler, Michael D., Xiaoshan M. Shao, Archana Balan, et al.. (2024). SpliceMutr Enables Pan-Cancer Analysis of Splicing-Derived Neoantigen Burden in Tumors. Cancer Research Communications. 4(12). 3137–3150. 2 indexed citations

Sanin, David E., Christopher R. Bailey, Emmanuel S. Antonarakis, et al.. (2024). Intratumoral heterogeneity drives acquired therapy resistance in a patient with metastatic prostate cancer. npj Precision Oncology. 8(1). 275–275. 3 indexed citations

Karchin, Rachel, et al.. (2022). Pan-Cancer HLA Gene-Mediated Tumor Immunogenicity and Immune Evasion. Molecular Cancer Research. 20(8). 1272–1283. 22 indexed citations

Zheng, Lily, Noushin Niknafs, Laura D. Wood, Rachel Karchin, & Robert B. Scharpf. (2022). Estimation of cancer cell fractions and clone trees from multi-region sequencing of tumors. Bioinformatics. 38(15). 3677–3683. 5 indexed citations

Shao, Xiaoshan M., Rohit Bhattacharya, Justin Huang, et al.. (2019). High-Throughput Prediction of MHC Class I and II Neoantigens with MHCnuggets. Cancer Immunology Research. 8(3). 396–408. 114 indexed citations

Reiter, Johannes G., Alvin P. Makohon-Moore, Jeffrey M. Gerold, et al.. (2018). Minimal functional driver gene heterogeneity among untreated metastases. Science. 361(6406). 1033–1037. 191 indexed citations

Wood, Derrick E., James R. White, Andrew Georgiadis, et al.. (2018). A machine learning approach for somatic mutation discovery. Science Translational Medicine. 10(457). 67 indexed citations

10.

Masica, David L., Christopher Douville, Collin Tokheim, et al.. (2017). CRAVAT 4: Cancer-Related Analysis of Variants Toolkit. Cancer Research. 77(21). e35–e38. 46 indexed citations

11.

Rettig, Eleni M., C. Conover Talbot, Mark Sausen, et al.. (2016). Whole-Genome Sequencing of Salivary Gland Adenoid Cystic Carcinoma. Cancer Prevention Research. 9(4). 265–274. 68 indexed citations

12.

Tokheim, Collin, Rohit Bhattacharya, Noushin Niknafs, et al.. (2016). Exome-Scale Discovery of Hotspot Mutation Regions in Human Cancer Using 3D Protein Structure. Cancer Research. 76(13). 3719–3731. 71 indexed citations

13.

Tokheim, Collin, Nickolas Papadopoulos, Kenneth W. Kinzler, Bert Vogelstein, & Rachel Karchin. (2016). Evaluating the evaluation of cancer driver genes. Proceedings of the National Academy of Sciences. 113(50). 14330–14335. 243 indexed citations

14.

Rettig, Eleni M., Christine H. Chung, Justin A. Bishop, et al.. (2015). Cleaved NOTCH1 Expression Pattern in Head and Neck Squamous Cell Carcinoma Is Associated with NOTCH1 Mutation, HPV Status, and High-Risk Features. Cancer Prevention Research. 8(4). 287–295. 43 indexed citations

15.

Masica, David L. & Rachel Karchin. (2013). Collections of Simultaneously Altered Genes as Biomarkers of Cancer Cell Drug Response. Cancer Research. 73(6). 1699–1708. 33 indexed citations

16.

Masica, David L. & Rachel Karchin. (2011). Correlation of Somatic Mutation and Expression Identifies Genes Important in Human Glioblastoma Progression and Survival. Cancer Research. 71(13). 4550–4561. 128 indexed citations

17.

Guthrie, Violeta Beleva, Jennifer M. Allen, Manel Camps, & Rachel Karchin. (2011). Network Models of TEM β-Lactamase Mutations Coevolving under Antibiotic Selection Show Modular Structure and Anticipate Evolutionary Trajectories. PLoS Computational Biology. 7(9). e1002184–e1002184. 29 indexed citations

18.

Carter, Hannah, Sining Chen, Leyla Işık, et al.. (2009). Cancer-Specific High-Throughput Annotation of Somatic Mutations: Computational Prediction of Driver Missense Mutations. Cancer Research. 69(16). 6660–6667. 321 indexed citations

19.

Pieper, Ursula, Narayanan Eswar, Benjamin Webb, et al.. (2008). MODBASE, a database of annotated comparative protein structure models and associated resources. Nucleic Acids Research. 37(Database). D347–D354. 126 indexed citations

20.

Carvalho, Marcelo A., Sylvia M. Marsillac, Rachel Karchin, et al.. (2007). Determination of Cancer Risk Associated with Germ Line BRCA1 Missense Variants by Functional Analysis. Cancer Research. 67(4). 1494–1501. 95 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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