Tim Peterson
Impact in
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- Multiple Myeloma Research and Treatments
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- Virus-based gene therapy research
- Chronic Lymphocytic Leukemia Research
Papers in
- Genetics 7
- Chronic Lymphocytic Leukemia Research 5
- Myeloproliferative Neoplasms: Diagnosis and Treatment 2
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- Multiple Myeloma Research and Treatments 5
- Chronic Myeloid Leukemia Treatments 2
- Co-authors
- Alan Melcher (2 shared papers)Richard G. Vile (2 shared papers)Laura Tang (3 shared papers)Michael J. Gough (1 shared paper)Emmanouela Linardakis (1 shared paper)Christine M. Lohse (1 shared paper)Michael J. Buege (5 shared papers)Tim Kottke (1 shared paper)
- Journals
- Blood (5 papers)Annals of Pharmacotherapy (3 papers)Cancer (1 paper)British Journal of Haematology (1 paper)European Journal Of Haematology (1 paper)
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Tim Peterson
12 papers receiving 289 citations
Peers
Comparison fields: 5 of 49
- Hematology 63
- Genetics 58
- Oncology 125
- Genetics 114
- Internal Medicine 15
Countries citing papers authored by Tim Peterson
This map shows the geographic impact of Tim Peterson'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 Tim Peterson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Peterson more than expected).
Fields of papers citing papers by Tim Peterson
This network shows the impact of papers produced by Tim Peterson. 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 Tim Peterson. The network helps show where Tim Peterson may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Peterson, 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 | Viral fusogenic membrane glycoproteins kill solid tumor cells by nonapoptotic mechanisms that promote cross presentation of tumor antigens by dendritic cells. | 2002 | 100 |
| 2 | 2015 | 57 | |
| 3 | 2021 | 33 | |
| 4 | 2017 | 32 | |
| 5 | 2019 | 20 | |
| 6 | 2018 | 14 | |
| 7 | 2018 | 13 | |
| 8 | 2019 | 9 | |
| 9 | 2021 | 7 | |
| 10 | 2020 | 4 | |
| 11 | 2019 | 2 | |
| 12 | 2021 | 1 | |
| 13 | 2023 | 0 | |
| 14 | 2015 | 0 | |
| 15 | 2020 | 0 | |
| 16 | 2019 | 0 |
About Tim Peterson
Tim Peterson is a scholar working on Genetics, Hematology, Molecular Biology, Oncology and Pathology and Forensic Medicine, having authored 16 papers that have together received 292 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (5 papers), Multiple Myeloma Research and Treatments (5 papers), Lymphoma Diagnosis and Treatment (3 papers), Childhood Cancer Survivors' Quality of Life (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Acute Lymphoblastic Leukemia research (2 papers), CAR-T cell therapy research (2 papers) and Chronic Myeloid Leukemia Treatments (2 papers). The work is most often cited by research in Hematology (63 citations), Genetics (58 citations), Oncology (125 citations), Genetics (114 citations) and Internal Medicine (15 citations). Tim Peterson has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Alan Melcher, Richard G. Vile, Laura Tang, Michael J. Gough, Emmanouela Linardakis, Christine M. Lohse, Michael J. Buege, Tim Kottke, Allan B. Dietz and Kevin J. Harrington. Their work appears in journals such as Blood, Annals of Pharmacotherapy, Cancer, British Journal of Haematology and European Journal Of Haematology.
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.