Nora Tu
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
- Hematology top 10%
- Acute Myeloid Leukemia Research
Papers in
-
- Acute Myeloid Leukemia Research 8
- Chronic Myeloid Leukemia Treatments 1
- Oncology 5
- Neutropenia and Cancer Infections 3
- Co-authors
- Paul H. Patterson (1 shared paper)Limin Shi (1 shared paper)Maribel Salas (12 shared papers)Gerald V. Naccarelli (1 shared paper)Mary Prince Panaccio (1 shared paper)CHRISTINE A. HALLER (1 shared paper)Thomas E. Kearney (1 shared paper)Zahidul Md. Islam (6 shared papers)
- Journals
- Future Oncology (4 papers)BMC Cancer (2 papers)European Heart Journal (1 paper)The American Journal of Cardiology (1 paper)American Journal of Cardiovascular Drugs (1 paper)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Nora Tu
23 papers receiving 542 citations
Peers
Comparison fields: 5 of 70
- Biological Psychiatry 37
- Hematology 166
- Genetics 52
- Obstetrics and Gynecology 35
- Behavioral Neuroscience 16
Countries citing papers authored by Nora Tu
This map shows the geographic impact of Nora Tu'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 Nora Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nora Tu more than expected).
Fields of papers citing papers by Nora Tu
This network shows the impact of papers produced by Nora Tu. 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 Nora Tu. The network helps show where Nora Tu may publish in the future.
Co-authors
The 25 scholars most cited alongside Nora Tu, 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 | 2004 | 162 | |
| 2 | 2018 | 113 | |
| 3 | 2012 | 61 | |
| 4 | 2010 | 43 | |
| 5 | 2021 | 33 | |
| 6 | 2017 | 28 | |
| 7 | 2022 | 26 | |
| 8 | 2021 | 15 | |
| 9 | 1992 | 14 | |
| 10 | 2020 | 11 | |
| 11 | 2023 | 10 | |
| 12 | 2021 | 6 | |
| 13 | 2020 | 5 | |
| 14 | 2024 | 5 | |
| 15 | 2024 | 5 | |
| 16 | 2017 | 4 | |
| 17 | 2023 | 4 | |
| 18 | 2020 | 3 | |
| 19 | 2023 | 3 | |
| 20 | 2017 | 2 |
About Nora Tu
Nora Tu is a scholar working on Hematology, Oncology, Genetics, Rheumatology and Public Health, Environmental and Occupational Health, having authored 23 papers that have together received 557 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (8 papers), Neutropenia and Cancer Infections (3 papers), Acute Lymphoblastic Leukemia research (3 papers), Lymphoma Diagnosis and Treatment (2 papers), Musculoskeletal synovial abnormalities and treatments (2 papers), Medical Malpractice and Liability Issues (1 paper), Chronic Myeloid Leukemia Treatments (1 paper) and Cardiovascular Function and Risk Factors (1 paper). The work is most often cited by research in Biological Psychiatry (37 citations), Hematology (166 citations), Genetics (52 citations), Obstetrics and Gynecology (35 citations) and Behavioral Neuroscience (16 citations). Nora Tu has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Paul H. Patterson, Limin Shi, Maribel Salas, Gerald V. Naccarelli, Mary Prince Panaccio, CHRISTINE A. HALLER, Thomas E. Kearney, Zahidul Md. Islam, C.L. Beach and Michelle Denise Hackshaw. Their work appears in journals such as Future Oncology, BMC Cancer, European Heart Journal, The American Journal of Cardiology and American Journal of Cardiovascular Drugs.
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.