Anna Purdum
Impact in
- Oncology top 10%
- CAR-T cell therapy research
-
- Lymphoma Diagnosis and Treatment
Papers in
- Oncology 13
- CAR-T cell therapy research 10
- Colorectal Cancer Treatments and Studies 2
-
- Lymphoma Diagnosis and Treatment 10
- Genetic factors in colorectal cancer 2
- Co-authors
- Vincent Lin (4 shared papers)Aasthaa Bansal (3 shared papers)Sean D. Sullivan (3 shared papers)Lynn Navale (4 shared papers)Scott D. Ramsey (3 shared papers)Joshua A. Roth (2 shared papers)Paul Cheng (1 shared paper)Sheila R. Reddy (2 shared papers)
- Journals
- Blood (5 papers)Journal of Clinical Oncology (3 papers)Biology of Blood and Marrow Transplantation (2 papers)Value in Health (2 papers)Current Medical Research and Opinion (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Anna Purdum
21 papers receiving 311 citations
Peers
Comparison fields: 5 of 34
- Oncology 262
- Pathology and Forensic Medicine 105
- Immunology 53
- Genetics 19
- Economics and Econometrics 40
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 | 94 | |
| 2 | 2019 | 72 | |
| 3 | 2015 | 26 | |
| 4 | 2019 | 25 | |
| 5 | 2019 | 22 | |
| 6 | 2019 | 19 | |
| 7 | 2004 | 13 | |
| 8 | 2018 | 8 | |
| 9 | 2020 | 7 | |
| 10 | 2018 | 6 | |
| 11 | 2014 | 4 | |
| 12 | 2021 | 4 | |
| 13 | 2020 | 3 | |
| 14 | 2020 | 2 | |
| 15 | 2018 | 2 | |
| 16 | 2020 | 2 | |
| 17 | 2018 | 2 | |
| 18 | 2018 | 2 | |
| 19 | 2019 | 1 | |
| 20 | 2020 | 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 316 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (10 papers), CAR-T cell therapy research (10 papers), Chronic Lymphocytic Leukemia Research (7 papers), Acute Lymphoblastic Leukemia research (4 papers), Colorectal Cancer Treatments and Studies (2 papers), Genetic factors in colorectal cancer (2 papers), Economic and Financial Impacts of Cancer (2 papers) and Health Systems, Economic Evaluations, Quality of Life (2 papers). The work is most often cited by research in Oncology (262 citations), Pathology and Forensic Medicine (105 citations), Immunology (53 citations), Genetics (19 citations) and Economics and Econometrics (40 citations). Anna Purdum has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Vincent Lin, Aasthaa Bansal, Sean D. Sullivan, Lynn Navale, Scott D. Ramsey, Joshua A. Roth, Paul Cheng, Sheila R. Reddy, Michael S. Broder and Hua Dong. Their work appears in journals such as Blood, Journal of Clinical Oncology, Biology of Blood and Marrow Transplantation, Value in Health and Current Medical Research and Opinion.
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.