H E Varmus

2.1k total citations · 1 hit paper
22 papers, 1.8k citations indexed

About

H E Varmus is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, H E Varmus has authored 22 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Genetics and 6 papers in Oncology. Recurrent topics in H E Varmus's work include Virus-based gene therapy research (5 papers), Animal Virus Infections Studies (4 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). H E Varmus is often cited by papers focused on Virus-based gene therapy research (5 papers), Animal Virus Infections Studies (4 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). H E Varmus collaborates with scholars based in United States, United Kingdom and France. H E Varmus's co-authors include Titia de Lange, K. Kaplan, Jason R. Swedlow, David O. Morgan, Lily Shiue, R Myers, Susan L. Naylor, David R. Cox, Hisamaru Hirai and Dominique Broccoli and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Genes & Development and The Journal of Cell Biology.

In The Last Decade

H E Varmus

21 papers receiving 1.8k citations

Hit Papers

Structure and variability... 1990 2026 2002 2014 1990 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
H E Varmus 1.2k 729 286 231 231 22 1.8k
Lynne Lacomis 1.6k 1.4× 205 0.3× 491 1.7× 160 0.7× 47 0.2× 17 2.4k
Roberta Schulte 1.5k 1.3× 106 0.1× 561 2.0× 217 0.9× 385 1.7× 32 2.4k
John R. Doedens 1.2k 1.0× 124 0.2× 190 0.7× 279 1.2× 240 1.0× 17 1.9k
Andrew B. Fielding 970 0.8× 156 0.2× 1.0k 3.6× 199 0.9× 259 1.1× 28 1.6k
Akihiko Nishikimi 862 0.7× 227 0.3× 434 1.5× 176 0.8× 236 1.0× 47 1.8k
Yuriko Yamawaki‐Kataoka 1.7k 1.4× 62 0.1× 301 1.1× 128 0.6× 128 0.6× 33 2.2k
Gustavo Gutierrez-Cruz 1.6k 1.3× 246 0.3× 149 0.5× 236 1.0× 24 0.1× 17 2.3k
Kristi G. Bache 1.4k 1.2× 319 0.4× 1.5k 5.1× 152 0.7× 76 0.3× 13 2.3k
Lifeng Xu 1.2k 1.0× 429 0.6× 123 0.4× 163 0.7× 12 0.1× 26 1.5k
Csanád Z. Bachrati 2.3k 1.9× 116 0.2× 222 0.8× 310 1.3× 44 0.2× 32 2.5k

Countries citing papers authored by H E Varmus

Since Specialization
Citations

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

Fields of papers citing papers by H E Varmus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H E Varmus. 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 H E Varmus. The network helps show where H E Varmus may publish in the future.

Co-authorship network of co-authors of H E Varmus

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

All Works

20 of 20 papers shown
1.
Stéhelin, D., H E Varmus, & J. Michael Bishop. (2015). Detection of Nucleotide Sequences Associated with Transformation by Avian Sarcoma Viruses. Proceedings of the International Symposium on Comparative Leukemia Research. 539–541. 2 indexed citations
2.
Varmus, H E. (2001). A mover in the biomedical community. EMBO Reports. 2(5). 360–362.
3.
Varmus, H E, et al.. (1997). The Interactions of Retroviruses and their Hosts. Europe PMC (PubMed Central). 47 indexed citations
4.
Broccoli, Dominique, Lucy A. Godley, L A Donehower, H E Varmus, & Titia de Lange. (1996). Telomerase Activation in Mouse Mammary Tumors: Lack of Detectable Telomere Shortening and Evidence for Regulation of Telomerase RNA with Cell Proliferation. Molecular and Cellular Biology. 16(7). 3765–3772. 143 indexed citations
5.
Niwa, Maho, et al.. (1996). Deficiency of the Hck and Src tyrosine kinases results in extreme levels of extramedullary hematopoiesis. Blood. 87(5). 1780–1792. 93 indexed citations
6.
Niwa, Maho, et al.. (1996). Deficiency of the Hck and Src tyrosine kinases results in extreme levels of extramedullary hematopoiesis. Blood. 87(5). 1780–1792. 5 indexed citations
7.
Kaplan, K., Jason R. Swedlow, David O. Morgan, & H E Varmus. (1995). c-Src enhances the spreading of src-/- fibroblasts on fibronectin by a kinase-independent mechanism.. Genes & Development. 9(12). 1505–1517. 290 indexed citations
8.
Bœuf, Hélène, et al.. (1995). Binding in vitro of phosphotyrosine-containing proteins to pp60c-src SH2 domain does not correlate with CEF transformation.. PubMed. 10(3). 433–8. 2 indexed citations
9.
Varmus, H E, et al.. (1994). Cancer genes and hematopoiesis. Blood. 83(1). 5–9. 2 indexed citations
10.
Varmus, H E, et al.. (1994). Cancer genes and hematopoiesis. Blood. 83(1). 5–9. 18 indexed citations
11.
Müller, Hans‐Peter, Peter M. Pryciak, & H E Varmus. (1993). Retroviral Integration Machinery as a Probe for DNA Structure and Associated Proteins. Cold Spring Harbor Symposia on Quantitative Biology. 58(0). 533–541. 7 indexed citations
12.
Kaplan, K., Jason R. Swedlow, H E Varmus, & David O. Morgan. (1992). Association of p60c-src with endosomal membranes in mammalian fibroblasts.. The Journal of Cell Biology. 118(2). 321–333. 210 indexed citations
13.
Pryciak, Peter M., Hans‐Peter Müller, & H E Varmus. (1992). Simian virus 40 minichromosomes as targets for retroviral integration in vivo.. Proceedings of the National Academy of Sciences. 89(19). 9237–9241. 63 indexed citations
14.
Hirai, Hisamaru & H E Varmus. (1990). Mutations in src homology regions 2 and 3 of activated chicken c-src that result in preferential transformation of mouse or chicken cells.. Proceedings of the National Academy of Sciences. 87(21). 8592–8596. 86 indexed citations
15.
Hirai, Hisamaru & H E Varmus. (1990). SH2 mutants of c-src that are host dependent for transformation are trans-dominant inhibitors of mouse cell transformation by activated c-src.. Genes & Development. 4(12b). 2342–2352. 25 indexed citations
16.
Lange, Titia de, Lily Shiue, R Myers, et al.. (1990). Structure and variability of human chromosome ends.. Molecular and Cellular Biology. 10(2). 518–527. 689 indexed citations breakdown →
17.
Varmus, H E. (1989). Lessons from the life cycle of retroviruses.. PubMed. 83. 35–56. 3 indexed citations
18.
Schwab, M., Karl-Heinz Klempnauer, Kari Alitalo, H E Varmus, & M. D. Bishop. (1986). Rearrangement at the 5' end of amplified c-myc in human COLO 320 cells is associated with abnormal transcription.. Molecular and Cellular Biology. 6(7). 2752–2755. 28 indexed citations
19.
Brodeur, G M, R C Seeger, Manfred Schwab, H E Varmus, & J. Michael Bishop. (1985). Amplification of N-myc sequences in primary human neuroblastomas: correlation with advanced disease stage.. PubMed. 175. 105–13. 29 indexed citations
20.
Bishop, J. Michael, Sara A. Courtneidge, Arthur D. Levinson, et al.. (1980). Origin and Function of Avian Retrovirus Transforming Genes. Cold Spring Harbor Symposia on Quantitative Biology. 44(0). 919–930. 63 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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