Doron Lipson

23.8k total citations · 4 hit papers
133 papers, 10.3k citations indexed

About

Doron Lipson is a scholar working on Cancer Research, Molecular Biology and Oncology. According to data from OpenAlex, Doron Lipson has authored 133 papers receiving a total of 10.3k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Cancer Research, 54 papers in Molecular Biology and 54 papers in Oncology. Recurrent topics in Doron Lipson's work include Cancer Genomics and Diagnostics (60 papers), Lung Cancer Treatments and Mutations (27 papers) and Genetic factors in colorectal cancer (12 papers). Doron Lipson is often cited by papers focused on Cancer Genomics and Diagnostics (60 papers), Lung Cancer Treatments and Mutations (27 papers) and Genetic factors in colorectal cancer (12 papers). Doron Lipson collaborates with scholars based in United States, Israel and South Korea. Doron Lipson's co-authors include Zohar Yakhini, Eran Eden, Roy Navon, Israel Steinfeld, Vincent A. Miller, Jeffrey S. Ross, Philip J. Stephens, Roman Yelensky, Siraj M. Ali and Dorothee Kern and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Doron Lipson

128 papers receiving 10.1k 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.

GOrilla: a tool for discovery and visualization of enriched GO terms in ranked gene lists

2009 2.4k citations Doron Lipson, Zohar Yakhini et al. profile →
Two-State Allosteric Behavior in a Single-Domain Signaling Protein

2001 508 citations Doron Lipson et al. profile →
Discovering Motifs in Ranked Lists of DNA Sequences

2007 503 citations Doron Lipson, Zohar Yakhini et al. PLoS Computational Biology profile →
Mapping information-rich genotype-phenotype landscapes with genome-scale Perturb-seq

2022 253 citations Joseph M. Replogle, Reuben A. Saunders et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Doron Lipson United States	49	5.8k	2.7k	2.5k	2.3k	1.2k	133	10.3k
Wim Van Criekinge Belgium	59	6.5k 1.1×	1.2k 0.5×	2.4k 1.0×	2.1k 0.9×	797 0.7×	190	10.3k
Bauke Ylstra Netherlands	53	6.6k 1.1×	2.9k 1.1×	3.2k 1.3×	1.3k 0.6×	2.9k 2.4×	239	12.1k
Michael R. Emmert‐Buck United States	55	6.9k 1.2×	2.1k 0.8×	2.6k 1.0×	1.4k 0.6×	800 0.7×	177	10.8k
Christopher A. Miller United States	34	5.7k 1.0×	2.6k 1.0×	3.7k 1.5×	1.2k 0.5×	1.6k 1.3×	119	10.7k
Fredrik Pontén Sweden	60	8.3k 1.4×	3.7k 1.4×	2.8k 1.1×	1.8k 0.8×	1.1k 0.9×	272	14.2k
Woong‐Yang Park South Korea	53	6.1k 1.1×	3.6k 1.3×	3.7k 1.5×	2.1k 0.9×	1.3k 1.0×	385	12.3k
Gregory J. Riggins United States	55	11.7k 2.0×	4.1k 1.5×	5.3k 2.1×	2.2k 0.9×	1.3k 1.0×	117	18.4k
Somasekar Seshagiri United States	41	6.6k 1.1×	3.2k 1.2×	2.4k 1.0×	2.1k 0.9×	726 0.6×	80	10.3k
Núria López-Bigas Spain	52	7.4k 1.3×	1.6k 0.6×	3.6k 1.4×	1.1k 0.5×	1.8k 1.5×	125	10.5k
John K. Cowell United States	57	7.0k 1.2×	2.2k 0.8×	1.6k 0.6×	908 0.4×	1.9k 1.5×	302	11.3k

Countries citing papers authored by Doron Lipson

Since Specialization

Citations

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

Fields of papers citing papers by Doron Lipson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Doron Lipson

This figure shows the co-authorship network connecting the top 25 collaborators of Doron Lipson. A scholar is included among the top collaborators of Doron Lipson 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 Doron Lipson. Doron Lipson 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

Jiang, Longda, Efthymia Papalexi, Hans‐Hermann Wessels, et al.. (2025). Systematic reconstruction of molecular pathway signatures using scalable single-cell perturbation screens. Nature Cell Biology. 27(3). 505–517. 5 indexed citations

Replogle, Joseph M., Reuben A. Saunders, Angela N. Pogson, et al.. (2022). Mapping information-rich genotype-phenotype landscapes with genome-scale Perturb-seq. Cell. 185(14). 2559–2575.e28. 253 indexed citations breakdown →

Kadouri, Luna, Yakir Rottenberg, Aviad Zick, et al.. (2019). Homologous recombination in lung cancer, germline and somatic mutations, clinical and phenotype characterization. Lung Cancer. 137. 48–51. 23 indexed citations

Sun, James, Yuting He, Eric M. Sanford, et al.. (2018). A computational approach to distinguish somatic vs. germline origin of genomic alterations from deep sequencing of cancer specimens without a matched normal. PLoS Computational Biology. 14(2). e1005965–e1005965. 177 indexed citations

Hartmaier, Ryan J., Lee A. Albacker, Juliann Chmielecki, et al.. (2017). High-Throughput Genomic Profiling of Adult Solid Tumors Reveals Novel Insights into Cancer Pathogenesis. Cancer Research. 77(9). 2464–2475. 85 indexed citations

Fabrizio, David, Christine M. Malboeuf, Daniel S. Lieber, et al.. (2017). Analytic validation of a next generation sequencing assay to identify tumor mutational burden from blood (bTMB) to support investigation of an anti-PD-L1 agent, atezolizumab, in a first line non-small cell lung cancer trial (BFAST). Annals of Oncology. 28. v27–v27. 14 indexed citations

Tarlock, Katherine, Yuting He, James Sun, et al.. (2017). Recurrent Copy Number Variants Are Highly Prevalent in Acute Myeloid Leukemia. Blood. 130. 3800–3800. 1 indexed citations

Stephens, Philip J., Travis Clark, Mark Kennedy, et al.. (2016). Analytic validation of a clinical circulating tumor DNA assay for patients with solid tumors. Annals of Oncology. 27. vi401–vi401. 2 indexed citations

Wang, Kai, Adrienne Johnson, Siraj M. Ali, et al.. (2015). Comprehensive Genomic Profiling of Advanced Esophageal Squamous Cell Carcinomas and Esophageal Adenocarcinomas Reveals Similarities and Differences. The Oncologist. 20(10). 1132–1139. 75 indexed citations

10.

Gallant, Jean‐Nicolas, Jonathan H. Sheehan, Timothy M. Shaver, et al.. (2015). EGFR Kinase Domain Duplication ( EGFR -KDD) Is a Novel Oncogenic Driver in Lung Cancer That Is Clinically Responsive to Afatinib. Cancer Discovery. 5(11). 1155–1163. 81 indexed citations

11.

Drilon, Alexander, Lu Wang, Maria E. Arcila, et al.. (2015). Broad, Hybrid Capture–Based Next-Generation Sequencing Identifies Actionable Genomic Alterations in Lung Adenocarcinomas Otherwise Negative for Such Alterations by Other Genomic Testing Approaches. Clinical Cancer Research. 21(16). 3631–3639. 202 indexed citations

12.

McMahon, Caitlin, Casey Williams, Brian Leyland‐Jones, et al.. (2015). A metastatic colon adenocarcinoma harboring BRAF V600E has a durable major response to dabrafenib/trametinib and chemotherapy. OncoTargets and Therapy. 8. 3561–3561. 7 indexed citations

13.

Capelletti, Marzia, Michael Dodge, Dalia Ercan, et al.. (2014). Identification of Recurrent FGFR3–TACC3 Fusion Oncogenes from Lung Adenocarcinoma. Clinical Cancer Research. 20(24). 6551–6558. 79 indexed citations

14.

Lovly, Christine M., Abha A. Gupta, Doron Lipson, et al.. (2014). Inflammatory Myofibroblastic Tumors Harbor Multiple Potentially Actionable Kinase Fusions. Cancer Discovery. 4(8). 889–895. 303 indexed citations

15.

Chmielecki, Juliann, Katherine E. Hutchinson, Garrett M. Frampton, et al.. (2014). Comprehensive Genomic Profiling of Pancreatic Acinar Cell Carcinomas Identifies Recurrent RAF Fusions and Frequent Inactivation of DNA Repair Genes. Cancer Discovery. 4(12). 1398–1405. 126 indexed citations

16.

Ali, Siraj M., R. Katherine Alpaugh, Sean R. Downing, et al.. (2014). Response of an ERBB2-Mutated Inflammatory Breast Carcinoma to Human Epidermal Growth Factor Receptor 2–Targeted Therapy. Journal of Clinical Oncology. 32(25). e88–e91. 40 indexed citations

17.

Chmielecki, Juliann, Jeffrey S. Ross, Kai Wang, et al.. (2014). Oncogenic Alterations in ERBB2/HER2 Represent Potential Therapeutic Targets Across Tumors From Diverse Anatomic Sites of Origin. The Oncologist. 20(1). 7–12. 75 indexed citations

18.

Hutchinson, Katherine E., Doron Lipson, Philip J. Stephens, et al.. (2013). BRAF Fusions Define a Distinct Molecular Subset of Melanomas with Potential Sensitivity to MEK Inhibition. Clinical Cancer Research. 19(24). 6696–6702. 124 indexed citations

19.

Peled, Nir, Gary A. Palmer, Fred R. Hirsch, et al.. (2012). Next-Generation Sequencing Identifies and Immunohistochemistry Confirms a Novel Crizotinib-Sensitive ALK Rearrangement in a Patient with Metastatic Non–Small-Cell Lung Cancer. Journal of Thoracic Oncology. 7(9). e14–e16. 102 indexed citations

20.

Farkash-Amar, Shlomit, Doron Lipson, Andreas Polten, et al.. (2008). Global organization of replication time zones of the mouse genome. Genome Research. 18(10). 1562–1570. 132 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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