Hua Tu
Impact in
- Physiology top 0.1%
- Adipose Tissue and Metabolism
- Rehabilitation top 0.1%
- Exercise and Physiological Responses
Papers in
-
- Endometrial and Cervical Cancer Treatments 16
-
- Ovarian cancer diagnosis and treatment 12
- Co-authors
- Bei ShanJang Hyun ChoiPontus BoströmJun WuLi YeBruce M. SpiegelmanJoyce J. RepaKevin D. Lustig
- Journals
- Bioorganic & Medicinal Chemistry Letters (5 papers)International Journal of Gynecological Cancer (5 papers)European Journal of Pharmacology (3 papers)Gynecologic Oncology (3 papers)Molecular and Cellular Biology (3 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Hua Tu
80 papers receiving 11.9k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Physiology 6.0k
- Rehabilitation 1.3k
- Biochemistry 966
- Epidemiology 3.7k
- Oncology 2.5k
Countries citing papers authored by Hua Tu
This map shows the geographic impact of Hua 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 Hua Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hua Tu more than expected).
Fields of papers citing papers by Hua Tu
This network shows the impact of papers produced by Hua 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 Hua Tu. The network helps show where Hua Tu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hua 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 2 | |
| 8 | 2023 | 16 | |
| 9 | 2022 | 14 | |
| 10 | 2021 | 22 | |
| 11 | 2020 | 8 | |
| 12 | 2020 | 123 | |
| 13 | 2020 | 13 | |
| 14 | 2019 | 30 | |
| 15 | 2019 | 11 | |
| 16 | 2014 | 6 | |
| 17 | 2014 | 2 | |
| 18 | Beige Adipocytes Are a Distinct Type of Thermogenic Fat Cell in Mouse and Human Hit paper breakdown → | 2012 | 2608 |
| 19 | 1999 | 81 | |
| 20 | 1997 | 71 |
About Hua Tu
Hua Tu is a scholar working on Obstetrics and Gynecology, Reproductive Medicine, Oncology, Cancer Research and Epidemiology, having authored 86 papers that have together received 12.1k indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (16 papers), Ovarian cancer diagnosis and treatment (12 papers), Cervical Cancer and HPV Research (10 papers), Hormonal Regulation and Hypertension (7 papers), Adrenal and Paraganglionic Tumors (5 papers), Immunotherapy and Immune Responses (5 papers), Colorectal and Anal Carcinomas (4 papers) and Drug Transport and Resistance Mechanisms (4 papers). The work is most often cited by research in Physiology (6.0k citations), Rehabilitation (1.3k citations), Biochemistry (966 citations), Epidemiology (3.7k citations) and Oncology (2.5k citations). Hua Tu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Bei Shan, Jang Hyun Choi, Pontus Boström, Jun Wu, Li Ye, Bruce M. Spiegelman, Joyce J. Repa, Kevin D. Lustig, David J. Mangelsdorf and R. Marc Learned. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, International Journal of Gynecological Cancer, European Journal of Pharmacology, Gynecologic Oncology and Molecular and Cellular Biology.
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.