Marcus E. Peter

50.1k total citations · 14 hit papers
180 papers, 28.7k citations indexed

About

Marcus E. Peter is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Marcus E. Peter has authored 180 papers receiving a total of 28.7k indexed citations (citations by other indexed papers that have themselves been cited), including 144 papers in Molecular Biology, 57 papers in Immunology and 51 papers in Cancer Research. Recurrent topics in Marcus E. Peter's work include Cell death mechanisms and regulation (72 papers), RNA Interference and Gene Delivery (42 papers) and MicroRNA in disease regulation (32 papers). Marcus E. Peter is often cited by papers focused on Cell death mechanisms and regulation (72 papers), RNA Interference and Gene Delivery (42 papers) and MicroRNA in disease regulation (32 papers). Marcus E. Peter collaborates with scholars based in United States, Germany and France. Marcus E. Peter's co-authors include Peter H. Krammer, Carsten Scaffidi, Ernst Lengyel, Sun-Mi Park, Frank Kischkel, Arti Gaur, Andrea E. Murmann, Bryan C. Barnhart, Robert Schickel and Erich A. Nigg and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Marcus E. Peter

180 papers receiving 28.2k citations

Hit Papers

FLICE, A Novel FADD-Homol... 1990 2026 2002 2014 1996 2008 2011 1995 1997 500 1000 1.5k 2.0k 2.5k

Author Peers

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

Author Last Decade Papers Cites
Marcus E. Peter 21.6k 8.5k 7.3k 5.5k 2.8k 180 28.7k
Henning Walczak 18.5k 0.9× 5.6k 0.7× 10.7k 1.5× 5.3k 1.0× 3.9k 1.4× 207 26.5k
Robert T. Abraham 20.2k 0.9× 4.4k 0.5× 5.9k 0.8× 7.5k 1.4× 1.9k 0.7× 215 29.0k
Andrew Wakeham 17.3k 0.8× 5.6k 0.7× 13.3k 1.8× 7.9k 1.4× 2.0k 0.7× 112 31.5k
John L. Cleveland 14.8k 0.7× 3.3k 0.4× 4.7k 0.7× 6.8k 1.3× 3.3k 1.2× 224 22.7k
Dario C. Altieri 22.4k 1.0× 4.5k 0.5× 5.8k 0.8× 9.0k 1.6× 2.1k 0.8× 256 31.2k
Karen O’Rourke 15.5k 0.7× 4.3k 0.5× 7.8k 1.1× 3.5k 0.6× 2.1k 0.7× 44 20.2k
Peter Angel 17.7k 0.8× 6.1k 0.7× 5.1k 0.7× 5.9k 1.1× 1.3k 0.5× 186 29.1k
David Wallach 11.8k 0.5× 4.6k 0.5× 10.6k 1.5× 3.6k 0.7× 2.9k 1.0× 172 22.0k
John Silke 15.6k 0.7× 3.6k 0.4× 6.8k 0.9× 3.5k 0.6× 2.7k 1.0× 188 19.8k
Srinivasa M. Srinivasula 18.1k 0.8× 3.0k 0.4× 5.6k 0.8× 3.1k 0.6× 3.3k 1.2× 105 23.5k

Countries citing papers authored by Marcus E. Peter

Since Specialization
Citations

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

Fields of papers citing papers by Marcus E. Peter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcus E. Peter

This figure shows the co-authorship network connecting the top 25 collaborators of Marcus E. Peter. A scholar is included among the top collaborators of Marcus E. Peter 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 Marcus E. Peter. Marcus E. Peter 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.
Bartom, Elizabeth T., John A. Kessler, Joseph R. Mazzulli, et al.. (2024). Death Induced by Survival gene Elimination (DISE) correlates with neurotoxicity in Alzheimer’s disease and aging. Nature Communications. 15(1). 264–264. 5 indexed citations
2.
Peter, Marcus E. & Maartje M. C. Bastings. (2024). Unfolding a death signal to treat rheumatoid arthritis. Nature Materials. 23(7). 882–883. 2 indexed citations
3.
Vaidyanathan, Aparajitha, Harry E. Taylor, Thomas J. Hope, et al.. (2023). Analysis of the Contribution of 6-mer Seed Toxicity to HIV-1-Induced Cytopathicity. Journal of Virology. 97(7). e0065223–e0065223. 4 indexed citations
4.
Peter, Marcus E., et al.. (2023). CD95/Fas ligand induced toxicity. Biochemical Society Transactions. 51(1). 21–29. 4 indexed citations
5.
Bartom, Elizabeth T., Masha Kocherginsky, Aparajitha Vaidyanathan, et al.. (2022). SPOROS: A pipeline to analyze DISE/6mer seed toxicity. PLoS Computational Biology. 18(3). e1010022–e1010022. 8 indexed citations
7.
Patel, Monal, Yinu Wang, Elizabeth T. Bartom, et al.. (2021). The Ratio of Toxic-to-Nontoxic miRNAs Predicts Platinum Sensitivity in Ovarian Cancer. Cancer Research. 81(15). 3985–4000. 15 indexed citations
8.
Patel, Monal, et al.. (2021). DISE/6mer seed toxicity-a powerful anti-cancer mechanism with implications for other diseases. Journal of Experimental & Clinical Cancer Research. 40(1). 389–389. 7 indexed citations
9.
Wang, Yinu, Guangyuan Zhao, Salvatore Condello, et al.. (2020). Frizzled-7 Identifies Platinum-Tolerant Ovarian Cancer Cells Susceptible to Ferroptosis. Cancer Research. 81(2). 384–399. 175 indexed citations
10.
Putzbach, William, Quan Q. Gao, Aishe A. Sarshad, et al.. (2018). CD95/Fas ligand mRNA is toxic to cells. eLife. 7. 23 indexed citations
11.
Murmann, Andrea E., Jindan Yu, Puneet Opal, & Marcus E. Peter. (2018). Trinucleotide Repeat Expansion Diseases, RNAi, and Cancer. Trends in cancer. 4(10). 684–700. 17 indexed citations
12.
Gao, Quan Q., William Putzbach, Andrea E. Murmann, et al.. (2018). 6mer seed toxicity in tumor suppressive microRNAs. Nature Communications. 9(1). 4504–4504. 28 indexed citations
13.
Putzbach, William, et al.. (2018). DISE: A Seed-Dependent RNAi Off-Target Effect That Kills Cancer Cells. Trends in cancer. 4(1). 10–19. 16 indexed citations
14.
Patel, Monal & Marcus E. Peter. (2017). Identification of DISE-inducing shRNAs by monitoring cellular responses. Cell Cycle. 17(4). 506–514. 9 indexed citations
15.
Putzbach, William, Quan Q. Gao, Monal Patel, et al.. (2017). Many si/shRNAs can kill cancer cells by targeting multiple survival genes through an off-target mechanism. eLife. 6. 46 indexed citations
16.
Eckert, Mark A., Shawn Pan, Kyle M. Hernandez, et al.. (2016). Genomics of Ovarian Cancer Progression Reveals Diverse Metastatic Trajectories Including Intraepithelial Metastasis to the Fallopian Tube. Cancer Discovery. 6(12). 1342–1351. 130 indexed citations
17.
Mitra, Anirban, Marion Zillhardt, Youjia Hua, et al.. (2012). MicroRNAs Reprogram Normal Fibroblasts into Cancer-Associated Fibroblasts in Ovarian Cancer. Cancer Discovery. 2(12). 1100–1108. 312 indexed citations
18.
Boyerinas, Benjamin, Sun-Mi Park, Noam Shomron, et al.. (2008). Identification of Let-7–Regulated Oncofetal Genes. Cancer Research. 68(8). 2587–2591. 188 indexed citations
19.
Sawada, Kenjiro, Anirban Mitra, A. Reza Radjabi, et al.. (2008). Loss of E-Cadherin Promotes Ovarian Cancer Metastasis via α5-Integrin, which Is a Therapeutic Target. Cancer Research. 68(7). 2329–2339. 303 indexed citations
20.
Schraven, Burkhart & Marcus E. Peter. (1995). APO‐1(CD95)‐mediated apoptosis in Jurkat cells does not involve src kinases or CD45. FEBS Letters. 368(3). 491–494. 41 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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