Mark Frankel
Impact in
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- Monoclonal and Polyclonal Antibodies Research
- Epidemiology top 5%
- Influenza Virus Research Studies
- Respiratory viral infections research
Papers in
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- Protein Kinase Regulation and GTPase Signaling 5
- Metabolism, Diabetes, and Cancer 4
- PI3K/AKT/mTOR signaling in cancer 3
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- Influenza Virus Research Studies 3
- Co-authors
- Walter Gerhard (6 shared papers)Robert G. Webster (2 shared papers)Jonathan W. Yewdell (1 shared paper)Jacalyn H. Pierce (4 shared papers)Ling-Mei Wang (2 shared papers)Ronald A. Kohanski (4 shared papers)Ararat J. Ablooglu (4 shared papers)Seth A. Ettenberg (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)The Journal of Immunology (2 papers)Oncogene (1 paper)Nature (1 paper)Stem Cells (1 paper)
- Partner nations
- United StatesAustralia
In The Last Decade
Mark Frankel
14 papers receiving 966 citations
Peers
Comparison fields: 5 of 69
- Radiology, Nuclear Medicine and Imaging 366
- Epidemiology 430
- Immunology 271
- Oncology 191
- Molecular Biology 426
Countries citing papers authored by Mark Frankel
This map shows the geographic impact of Mark Frankel'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 Mark Frankel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Frankel more than expected).
Fields of papers citing papers by Mark Frankel
This network shows the impact of papers produced by Mark Frankel. 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 Mark Frankel. The network helps show where Mark Frankel may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Frankel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1981 | 382 | |
| 2 | 1979 | 170 | |
| 3 | 1999 | 103 | |
| 4 | 1997 | 103 | |
| 5 | 1979 | 63 | |
| 6 | 1997 | 54 | |
| 7 | 2001 | 49 | |
| 8 | 1979 | 27 | |
| 9 | 2001 | 25 | |
| 10 | 1995 | 21 | |
| 11 | 1999 | 19 | |
| 12 | 1979 | 9 | |
| 13 | 2001 | 5 | |
| 14 | 1985 | 4 |
About Mark Frankel
Mark Frankel is a scholar working on Molecular Biology, Epidemiology, Oncology, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 14 papers that have together received 1.0k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (5 papers), Metabolism, Diabetes, and Cancer (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Cytokine Signaling Pathways and Interactions (3 papers), Influenza Virus Research Studies (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), HER2/EGFR in Cancer Research (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (366 citations), Epidemiology (430 citations), Immunology (271 citations), Oncology (191 citations) and Molecular Biology (426 citations). Mark Frankel has collaborated with scholars based in United States and Australia. Frequent co-authors include Walter Gerhard, Robert G. Webster, Jonathan W. Yewdell, Jacalyn H. Pierce, Ling-Mei Wang, Ronald A. Kohanski, Ararat J. Ablooglu, Seth A. Ettenberg, Stan Lipkowitz and Maccon Keane. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Immunology, Oncogene, Nature and Stem Cells.
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.