Tracy E. Wiczer
Impact in
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research
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- Lymphoma Diagnosis and Treatment
Papers in
- Genetics 17
- Chronic Lymphocytic Leukemia Research 17
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- Lymphoma Diagnosis and Treatment 9
- Co-authors
- Jennifer Ann Woyach (12 shared papers)Farrukh Tauseef Awan (9 shared papers)John C. Byrd (10 shared papers)Daniel Addison (6 shared papers)Kerry Anne Rogers (11 shared papers)Seema Ali Bhat (9 shared papers)Avirup Guha (2 shared papers)Qiuhong Zhao (6 shared papers)
- Journals
- Blood (5 papers)Blood Advances (3 papers)Leukemia (3 papers)Journal of the American College of Cardiology (2 papers)Journal of Hematology & Oncology (1 paper)
- Partner nations
- United States
In The Last Decade
Tracy E. Wiczer
22 papers receiving 849 citations
Peers
Comparison fields: 5 of 58
- Genetics 527
- Pathology and Forensic Medicine 282
- Hematology 171
- Internal Medicine 26
- Cardiology and Cardiovascular Medicine 163
Countries citing papers authored by Tracy E. Wiczer
This map shows the geographic impact of Tracy E. Wiczer'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 Tracy E. Wiczer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tracy E. Wiczer more than expected).
Fields of papers citing papers by Tracy E. Wiczer
This network shows the impact of papers produced by Tracy E. Wiczer. 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 Tracy E. Wiczer. The network helps show where Tracy E. Wiczer may publish in the future.
Co-authors
The 25 scholars most cited alongside Tracy E. Wiczer, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 208 | |
| 2 | 2017 | 138 | |
| 3 | 2018 | 101 | |
| 4 | 2015 | 82 | |
| 5 | 2023 | 79 | |
| 6 | 2019 | 70 | |
| 7 | 2022 | 56 | |
| 8 | 2022 | 31 | |
| 9 | 2020 | 18 | |
| 10 | 2023 | 17 | |
| 11 | 2018 | 13 | |
| 12 | 2019 | 12 | |
| 13 | 2024 | 12 | |
| 14 | 2018 | 8 | |
| 15 | 2019 | 6 | |
| 16 | 2016 | 5 | |
| 17 | 2023 | 4 | |
| 18 | 2023 | 4 | |
| 19 | 2020 | 4 | |
| 20 | 2022 | 3 |
About Tracy E. Wiczer
Tracy E. Wiczer is a scholar working on Genetics, Pathology and Forensic Medicine, Hematology, Immunology and Internal Medicine, having authored 23 papers that have together received 874 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (17 papers), Lymphoma Diagnosis and Treatment (9 papers), Chronic Myeloid Leukemia Treatments (4 papers), Immunodeficiency and Autoimmune Disorders (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Chemotherapy-induced cardiotoxicity and mitigation (2 papers) and Acute Lymphoblastic Leukemia research (2 papers). The work is most often cited by research in Genetics (527 citations), Pathology and Forensic Medicine (282 citations), Hematology (171 citations), Internal Medicine (26 citations) and Cardiology and Cardiovascular Medicine (163 citations). Tracy E. Wiczer has collaborated with scholars based in United States. Frequent co-authors include Jennifer Ann Woyach, Farrukh Tauseef Awan, John C. Byrd, Daniel Addison, Kerry Anne Rogers, Seema Ali Bhat, Avirup Guha, Qiuhong Zhao, Kyle M. Porter and Gary S. Phillips. Their work appears in journals such as Blood, Blood Advances, Leukemia, Journal of the American College of Cardiology and Journal of Hematology & Oncology.
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.