Sahil Seth

37.3k total citations · 2 hit papers
17 papers, 1.5k citations indexed

About

Sahil Seth is a scholar working on Cancer Research, Molecular Biology and Oncology. According to data from OpenAlex, Sahil Seth has authored 17 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cancer Research, 10 papers in Molecular Biology and 7 papers in Oncology. Recurrent topics in Sahil Seth's work include Cancer Genomics and Diagnostics (8 papers), Breast Cancer Treatment Studies (4 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Sahil Seth is often cited by papers focused on Cancer Genomics and Diagnostics (8 papers), Breast Cancer Treatment Studies (4 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Sahil Seth collaborates with scholars based in United States, Germany and China. Sahil Seth's co-authors include Jianhua Zhang, Lynda Chin, Alexei Protopopov, Jiabin Tang, Moritz Koch, Sónia A. Melo, Christoph Kahlert, Juergen Weitz, P. Andrew Futreal and Raghu Kalluri and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Genetics.

In The Last Decade

Sahil Seth

14 papers receiving 1.5k 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.

Identification of Double-stranded Genomic DNA Spanning All Chromosomes with Mutated KRAS and p53 DNA in the Serum Exosomes of Patients with Pancreatic Cancer

2014 810 citations Christoph Kahlert, Sónia A. Melo et al. Journal of Biological Chemistry profile →
Systematic analysis of telomere length and somatic alterations in 31 cancer types

2017 416 citations Floris P Barthel, Wei Wei et al. Nature Genetics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sahil Seth United States	6	1.2k	817	252	251	141	17	1.5k
Massimiliano Mellone United Kingdom	19	693 0.6×	494 0.6×	514 2.0×	74 0.3×	202 1.4×	24	1.2k
Adina Figl Germany	7	909 0.8×	285 0.3×	535 2.1×	389 1.5×	187 1.3×	8	1.6k
Karen D. Cowden Dahl United States	15	678 0.6×	432 0.5×	277 1.1×	44 0.2×	141 1.0×	26	1.1k
Igor Matushansky United States	21	1.1k 1.0×	313 0.4×	593 2.4×	150 0.6×	134 1.0×	48	1.8k
Thibault Voeltzel France	16	898 0.8×	236 0.3×	546 2.2×	66 0.3×	93 0.7×	27	1.3k
Jana Krošl Canada	24	1.3k 1.1×	190 0.2×	435 1.7×	128 0.5×	430 3.0×	38	2.1k
Henry Lee-Six United Kingdom	8	566 0.5×	534 0.7×	362 1.4×	39 0.2×	106 0.8×	14	1.1k
Nicole S. Verkaik Netherlands	24	1.7k 1.4×	498 0.6×	799 3.2×	58 0.2×	297 2.1×	47	2.3k
James Koh United States	16	944 0.8×	242 0.3×	800 3.2×	137 0.5×	117 0.8×	35	1.5k
Barbara J. Schiemann United States	15	685 0.6×	368 0.5×	484 1.9×	62 0.2×	807 5.7×	17	1.8k

Countries citing papers authored by Sahil Seth

Since Specialization

Citations

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

Fields of papers citing papers by Sahil Seth

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sahil Seth

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

All Works

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17 of 17 papers shown

Zhou, Ran, et al.. (2025). Populus VariantDB v3.2 facilitates CRISPR and functional genomics research. Tree Physiology. 45(13). 143–148.

Seth, Sahil & K. Sudhakara Prasad. (2025). CRISPR-based diagnostics for circulating cell-free DNA: a paradigm shift in precision oncology. Sensors & Diagnostics. 4(11). 925–938.

Laurent, Camille, Preeti Trisal, Bruno Tesson, et al.. (2024). Follicular lymphoma comprises germinal center–like and memory-like molecular subtypes with prognostic significance. Blood. 144(24). 2503–2516. 4 indexed citations

Redwood, Abena B., Xiaomei Zhang, Sahil Seth, et al.. (2021). The cytosolic iron–sulfur cluster assembly (CIA) pathway is required for replication stress tolerance of cancer cells to Chk1 and ATR inhibitors. npj Breast Cancer. 7(1). 152–152. 9 indexed citations

Yam, Clinton, Elizabeth A. Mittendorf, Ryan Sun, et al.. (2021). Neoadjuvant atezolizumab (atezo) and nab-paclitaxel (nab-p) in patients (pts) with triple-negative breast cancer (TNBC) with suboptimal clinical response to doxorubicin and cyclophosphamide (AC).. Journal of Clinical Oncology. 39(15_suppl). 592–592. 3 indexed citations

Lim, Bora, Sahil Seth, Lei Huo, et al.. (2020). Comprehensive profiling of androgen receptor-positive (AR+) triple-negative breast cancer (TNBC) patients (pts) treated with standard neoadjuvant therapy (NAT) +/- enzalutamide.. Journal of Clinical Oncology. 38(15_suppl). 517–517. 7 indexed citations

Yam, Clinton, Gheath Alatrash, Er-Yen Yen, et al.. (2020). Immune phenotype and response to neoadjuvant systemic therapy (NAST) in triple negative breast cancer (TNBC).. Journal of Clinical Oncology. 38(15_suppl). 509–509. 1 indexed citations

Seth, Sahil, Lei Huo, Gaiane M. Rauch, et al.. (2019). Delineating longitudinal patterns of response to neoadjuvant systemic therapy (NAST) in triple-negative breast cancer (TNBC): Profiling results from a randomized, TNBC enrolling trial to confirm molecular profiling improves survival (ARTEMIS; NCT02276443).. Journal of Clinical Oncology. 37(15_suppl). 586–586. 3 indexed citations

deCarvalho, Ana C., Hoon Kim, Laila Poisson, et al.. (2018). Discordant inheritance of chromosomal and extrachromosomal DNA elements contributes to dynamic disease evolution in glioblastoma. Nature Genetics. 50(5). 708–717. 176 indexed citations

10.

Yam, Clinton, Sahil Seth, EA Mittendorf, et al.. (2018). Impact of clinical, morphologic and molecular characteristics on response to neoadjuvant systemic therapy (NAST) in metaplastic breast cancer (MpBC). Annals of Oncology. 29. viii73–viii74. 1 indexed citations

11.

Barthel, Floris P, Wei Wei, Ming Tang, et al.. (2017). Systematic analysis of telomere length and somatic alterations in 31 cancer types. Nature Genetics. 49(3). 349–357. 416 indexed citations breakdown →

12.

Inoue, Akira, Bahar Salimian Rizi, Alessandro Carugo, et al.. (2017). Abstract 414: Identifying selective vulnerabilities in colorectal cancer molecular subtypes using in vivo functional genomic screens. Cancer Research. 77(13_Supplement). 414–414. 1 indexed citations

13.

Xie, Tongxin, Liang Yang, Jiping Wang, et al.. (2017). Abstract IA12: An in vivo high throughput shRNA screening platform for identifying ways to target genomic alterations. Clinical Cancer Research. 23(23_Supplement). IA12–IA12.

14.

Zhang, Jianjun, Yu Liu, Lin Li, et al.. (2015). Abstract 2982: Genome sequencing reveals the multicentric nature of multiple synchronous lung adenocarcinomas. Cancer Research. 75(15_Supplement). 2982–2982. 1 indexed citations

15.

Kwong, Lawrence N., Genevieve M. Boland, Dennie T. Frederick, et al.. (2015). Co-clinical assessment identifies patterns of BRAF inhibitor resistance in melanoma. Journal of Clinical Investigation. 125(4). 1459–1470. 70 indexed citations

16.

Kahlert, Christoph, Sónia A. Melo, Alexei Protopopov, et al.. (2014). Identification of Double-stranded Genomic DNA Spanning All Chromosomes with Mutated KRAS and p53 DNA in the Serum Exosomes of Patients with Pancreatic Cancer. Journal of Biological Chemistry. 289(7). 3869–3875. 810 indexed citations breakdown →

17.

Zhang, Jianjun, Junya Fujimoto, Jianhua Zhang, et al.. (2014). Intratumor heterogeneity (ITH) of lung adenocarcinomas defined by multiregion whole exome sequencing (WES).. Journal of Clinical Oncology. 32(15_suppl). 11032–11032. 3 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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