Susan DeWolf
Impact in
- Transplantation top 1%
- Renal Transplantation Outcomes and Treatments
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
Papers in
- Immunology 12
- T-cell and B-cell Immunology 9
- Immune Cell Function and Interaction 7
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- Antifungal resistance and susceptibility 2
- Co-authors
- Megan Sykes (8 shared papers)Martin S. Tallman (2 shared papers)Julien Zuber (7 shared papers)Yufeng Shen (6 shared papers)Brittany Shonts (6 shared papers)Suxiao Yang (4 shared papers)Heather Morris (2 shared papers)Aleksandar Obradović (5 shared papers)
- Journals
- Blood (8 papers)Journal of Clinical Oncology (2 papers)JCI Insight (2 papers)American Journal of Transplantation (2 papers)Transplantation (2 papers)
- Partner nations
- United StatesFranceSpain
In The Last Decade
Susan DeWolf
25 papers receiving 986 citations
Peers
Comparison fields: 5 of 73
- Transplantation 250
- Immunology 434
- Hematology 184
- Infectious Diseases 149
- Oncology 150
Countries citing papers authored by Susan DeWolf
This map shows the geographic impact of Susan DeWolf'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 Susan DeWolf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susan DeWolf more than expected).
Fields of papers citing papers by Susan DeWolf
This network shows the impact of papers produced by Susan DeWolf. 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 Susan DeWolf. The network helps show where Susan DeWolf may publish in the future.
Co-authors
The 25 scholars most cited alongside Susan DeWolf, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 174 | |
| 2 | 2016 | 96 | |
| 3 | 2020 | 93 | |
| 4 | 2017 | 81 | |
| 5 | 2022 | 72 | |
| 6 | 2018 | 66 | |
| 7 | 2018 | 55 | |
| 8 | 2015 | 53 | |
| 9 | 2014 | 50 | |
| 10 | 2015 | 46 | |
| 11 | 2019 | 38 | |
| 12 | 2019 | 37 | |
| 13 | 2022 | 31 | |
| 14 | 2016 | 23 | |
| 15 | 2024 | 21 | |
| 16 | 2015 | 15 | |
| 17 | 2016 | 12 | |
| 18 | 2025 | 9 | |
| 19 | 2023 | 7 | |
| 20 | 2023 | 7 |
About Susan DeWolf
Susan DeWolf is a scholar working on Immunology, Infectious Diseases, Oncology, Molecular Biology and Transplantation, having authored 28 papers that have together received 995 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (9 papers), Immune Cell Function and Interaction (7 papers), Renal Transplantation Outcomes and Treatments (6 papers), CAR-T cell therapy research (6 papers), Hematopoietic Stem Cell Transplantation (5 papers), Acute Myeloid Leukemia Research (3 papers), Antifungal resistance and susceptibility (2 papers) and Fungal Infections and Studies (2 papers). The work is most often cited by research in Transplantation (250 citations), Immunology (434 citations), Hematology (184 citations), Infectious Diseases (149 citations) and Oncology (150 citations). Susan DeWolf has collaborated with scholars based in United States, France and Spain. Frequent co-authors include Megan Sykes, Martin S. Tallman, Julien Zuber, Yufeng Shen, Brittany Shonts, Suxiao Yang, Heather Morris, Aleksandar Obradović, Sai Ping Lau and Ben Sprangers. Their work appears in journals such as Blood, Journal of Clinical Oncology, JCI Insight, American Journal of Transplantation and Transplantation.
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.