Erik Kupperman
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
- Cell Biology top 5%
Papers in
- Genetics 4
- Chronic Lymphocytic Leukemia Research 3
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- Multiple Myeloma Research and Treatments 3
- Acute Myeloid Leukemia Research 1
- Co-authors
- Didier Y. R. StainierSongzhu AnNicholas J. OsborneJudy L. MeinkothWen WeiBret BannermanYueying CaoLi Yu
- Journals
- Molecular Cancer Therapeutics (3 papers)Journal of Biological Chemistry (2 papers)Cancer Research (2 papers)Blood (2 papers)Clinical and Translational Science (1 paper)
- Partner nations
- United StatesJapanNetherlands
In The Last Decade
Erik Kupperman
17 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 90
- Hematology 211
- Cell Biology 251
- Molecular Biology 927
- Oncology 319
- Genetics 65
Countries citing papers authored by Erik Kupperman
This map shows the geographic impact of Erik Kupperman'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 Erik Kupperman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erik Kupperman more than expected).
Fields of papers citing papers by Erik Kupperman
This network shows the impact of papers produced by Erik Kupperman. 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 Erik Kupperman. The network helps show where Erik Kupperman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Erik Kupperman, 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 | 2024 | 9 | |
| 2 | 2023 | 11 | |
| 3 | 2021 | 13 | |
| 4 | 2011 | 64 | |
| 5 | 2011 | 32 | |
| 6 | 2011 | 1 | |
| 7 | 2010 | 409 | |
| 8 | Abstract #2921: Pharmacokinetics and pharmacodynamics of a selective proteasome inhibitor MLN9708 in nonclinical species following either intravenous or oral administration | 2009 | 4 |
| 9 | 2009 | 1 | |
| 10 | 2009 | 45 | |
| 11 | 2009 | 1 | |
| 12 | 2000 | 329 | |
| 13 | 2000 | 58 | |
| 14 | 1997 | 68 | |
| 15 | 1996 | 34 | |
| 16 | 1994 | 11 | |
| 17 | 1993 | 63 |
About Erik Kupperman
Erik Kupperman is a scholar working on Genetics, Hematology, Cancer Research, Cell Biology and Molecular Biology, having authored 17 papers that have together received 1.2k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (4 papers), Ubiquitin and proteasome pathways (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), Multiple Myeloma Research and Treatments (3 papers), Protein Degradation and Inhibitors (3 papers), Peptidase Inhibition and Analysis (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Acute Myeloid Leukemia Research (1 paper). The work is most often cited by research in Hematology (211 citations), Cell Biology (251 citations), Molecular Biology (927 citations), Oncology (319 citations) and Genetics (65 citations). Erik Kupperman has collaborated with scholars based in United States, Japan and Netherlands. Frequent co-authors include Didier Y. R. Stainier, Songzhu An, Nicholas J. Osborne, Judy L. Meinkoth, Wen Wei, Bret Bannerman, Yueying Cao, Li Yu, Paul Fleming and Jie Yu. Their work appears in journals such as Molecular Cancer Therapeutics, Journal of Biological Chemistry, Cancer Research, Blood and Clinical and Translational Science.
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.