Stephen E. Kurtz
Impact in
- Aging top 2%
- Immunology top 2%
- Psoriasis: Treatment and Pathogenesis
- T-cell and B-cell Immunology
Papers in
-
- Protein Degradation and Inhibitors 11
- Cell death mechanisms and regulation 6
- Hematology 28
- Acute Myeloid Leukemia Research 21
- Chronic Myeloid Leukemia Treatments 11
- Multiple Myeloma Research and Treatments 5
- Co-authors
- Andrew Blauvelt (9 shared papers)David Shore (5 shared papers)Arthur J. Lustig (1 shared paper)Susan Lindquist (2 shared papers)Shinji Kagami (2 shared papers)J M Rossi (1 shared paper)S Lindquist (1 shared paper)Joseph V. Lillis (2 shared papers)
- Journals
- Blood (23 papers)The Journal of Immunology (3 papers)Clinical Cancer Research (3 papers)Journal of Investigative Dermatology (3 papers)Leukemia (3 papers)
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Stephen E. Kurtz
75 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 119
- Aging 125
- Immunology 1.2k
- Dermatology 453
- Hematology 367
- Molecular Biology 1.5k
Countries citing papers authored by Stephen E. Kurtz
This map shows the geographic impact of Stephen E. Kurtz'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 Stephen E. Kurtz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen E. Kurtz more than expected).
Fields of papers citing papers by Stephen E. Kurtz
This network shows the impact of papers produced by Stephen E. Kurtz. 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 Stephen E. Kurtz. The network helps show where Stephen E. Kurtz may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen E. Kurtz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 422 | |
| 2 | 2007 | 309 | |
| 3 | 1990 | 283 | |
| 4 | 1986 | 249 | |
| 5 | 2019 | 233 | |
| 6 | 2010 | 199 | |
| 7 | 2010 | 178 | |
| 8 | 1991 | 148 | |
| 9 | 1997 | 107 | |
| 10 | 1984 | 104 | |
| 11 | 1993 | 70 | |
| 12 | 1995 | 68 | |
| 13 | 1995 | 58 | |
| 14 | 2018 | 52 | |
| 15 | 2001 | 51 | |
| 16 | 2005 | 51 | |
| 17 | 2005 | 48 | |
| 18 | 1996 | 45 | |
| 19 | 1975 | 44 | |
| 20 | 2007 | 36 |
About Stephen E. Kurtz
Stephen E. Kurtz is a scholar working on Molecular Biology, Hematology, Immunology, Genetics and Oncology, having authored 81 papers that have together received 3.3k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (21 papers), Chronic Myeloid Leukemia Treatments (11 papers), Protein Degradation and Inhibitors (11 papers), Chronic Lymphocytic Leukemia Research (7 papers), Cell death mechanisms and regulation (6 papers), CAR-T cell therapy research (6 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers) and Multiple Myeloma Research and Treatments (5 papers). The work is most often cited by research in Aging (125 citations), Immunology (1.2k citations), Dermatology (453 citations), Hematology (367 citations) and Molecular Biology (1.5k citations). Stephen E. Kurtz has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Andrew Blauvelt, David Shore, Arthur J. Lustig, Susan Lindquist, Shinji Kagami, J M Rossi, S Lindquist, Joseph V. Lillis, Mihail S. Iordanov and David E. Purdy. Their work appears in journals such as Blood, The Journal of Immunology, Clinical Cancer Research, Journal of Investigative Dermatology and Leukemia.
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.