Anna Purdum
Impact in
- Oncology top 10%
- CAR-T cell therapy research
- Colorectal Cancer Treatments and Studies
-
- Lymphoma Diagnosis and Treatment
Papers in
- Oncology 12
- CAR-T cell therapy research 10
- Colorectal Cancer Treatments and Studies 2
-
- Lymphoma Diagnosis and Treatment 9
- Co-authors
- Vincent Lin (4 shared papers)Lynn Navale (4 shared papers)Scott D. Ramsey (3 shared papers)Sean D. Sullivan (3 shared papers)Aasthaa Bansal (3 shared papers)Paul Cheng (1 shared paper)Joshua A. Roth (2 shared papers)Sheila R. Reddy (2 shared papers)
- Journals
- Blood (6 papers)Journal of Clinical Oncology (3 papers)Value in Health (2 papers)Biology of Blood and Marrow Transplantation (2 papers)AIDS Care (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Anna Purdum
20 papers receiving 317 citations
Peers
Comparison fields: 5 of 34
- Oncology 234
- Pathology and Forensic Medicine 69
- Immunology 34
- Genetics 15
- Economics and Econometrics 26
Countries citing papers authored by Anna Purdum
This map shows the geographic impact of Anna Purdum'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 Anna Purdum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Purdum more than expected).
Fields of papers citing papers by Anna Purdum
This network shows the impact of papers produced by Anna Purdum. 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 Anna Purdum. The network helps show where Anna Purdum may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Purdum, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 95 | |
| 2 | 2019 | 74 | |
| 3 | 2019 | 28 | |
| 4 | 2015 | 27 | |
| 5 | 2019 | 22 | |
| 6 | 2019 | 19 | |
| 7 | 2004 | 13 | |
| 8 | 2018 | 8 | |
| 9 | 2020 | 7 | |
| 10 | 2018 | 6 | |
| 11 | 2021 | 5 | |
| 12 | 2014 | 4 | |
| 13 | 2020 | 3 | |
| 14 | 2020 | 2 | |
| 15 | 2020 | 2 | |
| 16 | 2018 | 2 | |
| 17 | 2018 | 2 | |
| 18 | 2020 | 1 | |
| 19 | 2017 | 1 | |
| 20 | 2019 | 1 |
About Anna Purdum
Anna Purdum is a scholar working on Oncology, Pathology and Forensic Medicine, Genetics, Public Health, Environmental and Occupational Health and Economics and Econometrics, having authored 22 papers that have together received 322 indexed citations. Recurring topics across this work include CAR-T cell therapy research (10 papers), Lymphoma Diagnosis and Treatment (9 papers), Chronic Lymphocytic Leukemia Research (6 papers), Acute Lymphoblastic Leukemia research (3 papers), Economic and Financial Impacts of Cancer (2 papers), Colorectal Cancer Treatments and Studies (2 papers), Chronic Myeloid Leukemia Treatments (1 paper) and HIV-related health complications and treatments (1 paper). The work is most often cited by research in Oncology (234 citations), Pathology and Forensic Medicine (69 citations), Immunology (34 citations), Genetics (15 citations) and Economics and Econometrics (26 citations). Anna Purdum has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Vincent Lin, Lynn Navale, Scott D. Ramsey, Sean D. Sullivan, Aasthaa Bansal, Paul Cheng, Joshua A. Roth, Sheila R. Reddy, Michael S. Broder and Hua Dong. Their work appears in journals such as Blood, Journal of Clinical Oncology, Value in Health, Biology of Blood and Marrow Transplantation and AIDS Care.
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.