Marc E. Lippman

41.5k total citations · 10 hit papers
413 papers, 30.2k citations indexed

About

Marc E. Lippman is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Marc E. Lippman has authored 413 papers receiving a total of 30.2k indexed citations (citations by other indexed papers that have themselves been cited), including 178 papers in Molecular Biology, 169 papers in Oncology and 162 papers in Genetics. Recurrent topics in Marc E. Lippman's work include Estrogen and related hormone effects (139 papers), HER2/EGFR in Cancer Research (53 papers) and Breast Cancer Treatment Studies (50 papers). Marc E. Lippman is often cited by papers focused on Estrogen and related hormone effects (139 papers), HER2/EGFR in Cancer Research (53 papers) and Breast Cancer Treatment Studies (50 papers). Marc E. Lippman collaborates with scholars based in United States, United Kingdom and Italy. Marc E. Lippman's co-authors include Robert B. Dickson, Karen Huff, E. Brad Thompson, Gail Bolan, Diane Bronzert, Joseph C. Allegra, Cornelius Knabbe, Attan Kasid, Robert Clarke and Barry I. Hudson and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

Marc E. Lippman

406 papers receiving 28.8k citations

Hit Papers

The Effect of Raloxifene ... 1976 2026 1992 2009 1999 1987 1976 2017 1992 400 800 1.2k

Author Peers

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

Author Last Decade Papers Cites
Marc E. Lippman 12.7k 12.5k 10.2k 7.0k 3.9k 413 30.2k
R. Charles Coombes 13.6k 1.1× 13.6k 1.1× 8.8k 0.9× 9.1k 1.3× 1.5k 0.4× 614 33.0k
Anthony Howell 21.3k 1.7× 12.4k 1.0× 14.7k 1.4× 15.1k 2.2× 2.0k 0.5× 684 42.9k
Nancy E. Davidson 20.5k 1.6× 17.6k 1.4× 7.8k 0.8× 12.3k 1.8× 946 0.2× 398 41.0k
Hironobu Sasano 8.2k 0.6× 11.1k 0.9× 8.7k 0.8× 6.1k 0.9× 9.4k 2.4× 1.2k 36.3k
Douglas F. Easton 8.8k 0.7× 12.8k 1.0× 16.9k 1.7× 8.0k 1.1× 1.1k 0.3× 358 33.9k
Waun Ki Hong 12.7k 1.0× 16.8k 1.3× 3.8k 0.4× 5.5k 0.8× 1.3k 0.3× 512 34.0k
Richard G. Pestell 15.2k 1.2× 33.3k 2.7× 4.7k 0.5× 13.5k 1.9× 1.5k 0.4× 465 49.9k
Michaël Pollak 15.9k 1.3× 26.6k 2.1× 4.9k 0.5× 11.6k 1.7× 15.3k 4.0× 599 46.8k
Paul D.P. Pharoah 6.7k 0.5× 7.3k 0.6× 6.1k 0.6× 4.8k 0.7× 685 0.2× 340 19.9k
Seppo Ylä‐Herttuala 9.9k 0.8× 21.8k 1.7× 5.3k 0.5× 4.6k 0.7× 1.8k 0.5× 748 44.5k

Countries citing papers authored by Marc E. Lippman

Since Specialization
Citations

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

Fields of papers citing papers by Marc E. Lippman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc E. Lippman

This figure shows the co-authorship network connecting the top 25 collaborators of Marc E. Lippman. A scholar is included among the top collaborators of Marc E. Lippman 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 Marc E. Lippman. Marc E. Lippman 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.
Xiao, Jerry, Marc E. Lippman, Paula R. Pohlmann, et al.. (2023). Propagated Circulating Tumor Cells Uncover the Potential Role of NFκB, EMT, and TGFβ Signaling Pathways and COP1 in Metastasis. Cancers. 15(6). 1831–1831. 6 indexed citations
2.
Taub, Chloe J., Alain Diaz, Bonnie B. Blomberg, et al.. (2022). Relationships Between Serum Cortisol, RAGE-Associated s100A8/A9 Levels, and Self-Reported Cancer-Related Distress in Women With Nonmetastatic Breast Cancer. Psychosomatic Medicine. 84(7). 803–807. 5 indexed citations
3.
Goka, Erik T., et al.. (2021). Hormone-Dependent Prostate Cancers are Dependent on Rac Signaling for Growth and Survival. Molecular Cancer Therapeutics. 20(6). 1052–1061. 6 indexed citations
4.
Sun, Jun, Gabriel Gaidosh, Ye Xu, et al.. (2021). RAC1 plays an essential role in estrogen receptor alpha function in breast cancer cells. Oncogene. 40(40). 5950–5962. 11 indexed citations
5.
Goka, Erik T., et al.. (2020). Rac Signaling Drives Clear Cell Renal Carcinoma Tumor Growth by Priming the Tumor Microenvironment for an Angiogenic Switch. Molecular Cancer Therapeutics. 19(7). 1462–1473. 12 indexed citations
6.
Goka, Erik T., et al.. (2019). RAC1b Overexpression Confers Resistance to Chemotherapy Treatment in Colorectal Cancer. Molecular Cancer Therapeutics. 18(5). 957–968. 37 indexed citations
7.
Surnar, Bapurao, Nagesh Kolishetti, Uttara Basu, et al.. (2018). Reduction of Cisplatin-Induced Ototoxicity without Compromising Its Antitumor Activity. Biochemistry. 57(46). 6500–6513. 9 indexed citations
8.
Xu, Liang, Dajun Yang, Shaomeng Wang, Wenhua Tang, & Marc E. Lippman. (2004). Gossypol(-), a potent small molecule inhibitor of Bcl-2/xl, improves response to radiation therapy and results in tumor regression of human prostate cancer. Cancer Research. 64. 959–959. 1 indexed citations
9.
Kumar‐Sinha, Chandan, Kathleen Woods Ignatoski, Marc E. Lippman, Stephen P. Ethier, & Arul M. Chinnaiyan. (2003). Transcriptome analysis of HER2 reveals a molecular connection to fatty acid synthesis.. PubMed. 63(1). 132–9. 180 indexed citations
10.
Meehan, Kenneth R., Rebecca Slack, Edmund A. Gehan, et al.. (2002). Mobilization of Peripheral Blood Stem Cells with Paclitaxel and rhG-CSF in High-Risk Breast Cancer Patients. Journal of Hematotherapy & Stem Cell Research. 11(2). 415–421. 4 indexed citations
11.
Cummings, Steven R., Stephen Eckert, Kathryn A. Krueger, et al.. (2000). The Effect of Raloxifene on Risk of Breast Cancer in Postmenopausal Women: Results From the MORE Randomized Trial. Obstetrical & Gynecological Survey. 55(2). 100–100. 73 indexed citations
12.
Bacus, S S, Eliezer Huberman, D Chin, et al.. (1992). A ligand for the erbB-2 oncogene product (gp30) induces differentiation of human breast cancer cells.. PubMed. 3(7). 401–11. 83 indexed citations
13.
King, C. Richter, Sandra M. Swain, Laura Porter, et al.. (1989). Heterogeneous expression of erbB-2 messenger RNA in human breast cancer.. PubMed. 49(15). 4185–91. 56 indexed citations
14.
15.
Thompson, E. Brad & Marc E. Lippman. (1979). Steroid receptors and the management of cancer. CRC Press eBooks. 15 indexed citations
16.
Lippman, Marc E., et al.. (1978). Clinical implications of glucocorticoid receptors in human leukemia.. PubMed. 38(11 Pt 2). 4251–6. 90 indexed citations
17.
Allegra, Joseph C., Marc E. Lippman, E. Brad Thompson, & Richard Simon. (1978). An association between steroid hormone receptors and response to cytotoxic chemotherapy in patients with metastatic breast cancer.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 38(11 Pt 2). 4299–304. 27 indexed citations
18.
Lippman, Marc E.. (1977). Re: M. Lippman, G. Bolan, and K. Huff. Three Papers on Hormones and Breast Cancer in Vitro. Cancer Res., 36: 4595–4601, 4602–4609, 4610–4618, 1976.. Cancer Research. 37(9). 3465–3465. 1 indexed citations
19.
Lippman, Marc E., Marie E. Monaco, & Gail Bolan. (1977). Effects of estrone, estradiol, and estriol on hormone-responsive human breast cancer in long-term tissue culture.. PubMed. 37(6). 1901–7. 115 indexed citations
20.
Osborne, C. Kent, et al.. (1976). Insulin receptors in human breast cancer: relationship of binding, degradation and biological activity. Diabetes. 25. 1 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026