Jeffrey M. Venstrom
- Transplantation top 2%
- Immunology top 2%
- Immune Cell Function and Interaction 23
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation 11
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers 12
- Cancer Research top 10%
- Cancer Genomics and Diagnostics 36
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- Lymphoma Diagnosis and Treatment 16
- Genetic factors in colorectal cancer 9
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- Lung Cancer Treatments and Mutations 14
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- Chronic Lymphocytic Leukemia Research 9
- Co-authors
- Katharine C. HsuBo DupontMeighan M. GallagherStephen R. SpellmanEffie W. PetersdorfMari MalkkiTed GooleyMichael Haagenson
- Cited by
- TransplantationImmunologyHematology
- Journals
- New England Journal of Medicine (1 paper)JAMA (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- United StatesSwitzerlandFrance
In The Last Decade
Jeffrey M. Venstrom
94 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 77
- Transplantation 145
- Immunology 949
- Hematology 460
- Oncology 643
- Cancer Research 212
Countries citing papers authored by Jeffrey M. Venstrom
This map shows the geographic impact of Jeffrey M. Venstrom'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 Jeffrey M. Venstrom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey M. Venstrom more than expected).
Fields of papers citing papers by Jeffrey M. Venstrom
This network shows the impact of papers produced by Jeffrey M. Venstrom. 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 Jeffrey M. Venstrom. The network helps show where Jeffrey M. Venstrom may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jeffrey M. Venstrom, 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 | 2025 | 0 | |
| 2 | 2024 | 8 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 26 | |
| 6 | 2021 | 28 | |
| 7 | 2021 | 25 | |
| 8 | 2020 | 10 | |
| 9 | Patients with NSCLCs Harboring Internal Inversions or Deletion Rearrangements of the ALK Gene Have Durable Responses to ALK Kinase Inhibitors | 2020 | 0 |
| 10 | 2020 | 30 | |
| 11 | 2020 | 1 | |
| 12 | 2019 | 54 | |
| 13 | 2017 | 1 | |
| 14 | 2017 | 1 | |
| 15 | 2017 | 24 | |
| 16 | 2015 | 2 | |
| 17 | 2014 | 44 | |
| 18 | 2014 | 10 | |
| 19 | 2014 | 15 | |
| 20 | 2003 | 214 |
About Jeffrey M. Venstrom
Jeffrey M. Venstrom is a scholar working on Cancer Research, Hematology and Oncology, having authored 99 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (36 papers), Immune Cell Function and Interaction (23 papers), Lymphoma Diagnosis and Treatment (16 papers), Lung Cancer Treatments and Mutations (14 papers), Cancer Immunotherapy and Biomarkers (12 papers), Hematopoietic Stem Cell Transplantation (11 papers), Chronic Lymphocytic Leukemia Research (9 papers) and Genetic factors in colorectal cancer (9 papers). The work is most often cited by research in Transplantation (145 citations), Immunology (949 citations) and Hematology (460 citations). Jeffrey M. Venstrom has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include Katharine C. Hsu, Bo Dupont, Meighan M. Gallagher, Stephen R. Spellman, Effie W. Petersdorf, Mari Malkki, Ted Gooley, Michael Haagenson, Joseph H. Chewning and Gianfranco Pittari. Their work appears in journals such as New England Journal of Medicine, JAMA and Journal of Clinical Investigation.
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.