Ting He
Impact in
- Oncology top 10%
- CAR-T cell therapy research
- Nephrology top 10%
- Dialysis and Renal Disease Management
Papers in
- Oncology 14
- CAR-T cell therapy research 8
- Inflammatory Biomarkers in Disease Prognosis 3
- Co-authors
- Xin‐an Lu (7 shared papers)Xiaosu Zhou (3 shared papers)Junfang Yang (3 shared papers)Peihua Lu (3 shared papers)Xian Zhang (3 shared papers)Yunchao Su (1 shared paper)Min Zhang (1 shared paper)Dan Song (1 shared paper)
- Journals
- PLoS ONE (2 papers)Clinical Nephrology (2 papers)Medicine (2 papers)Clinical Rehabilitation (1 paper)Neurological Sciences (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Ting He
41 papers receiving 507 citations
Peers
Comparison fields: 5 of 78
- Oncology 213
- Nephrology 42
- Rehabilitation 23
- Family Practice 6
- Hematology 36
Countries citing papers authored by Ting He
This map shows the geographic impact of Ting He'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 Ting He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting He more than expected).
Fields of papers citing papers by Ting He
This network shows the impact of papers produced by Ting He. 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 Ting He. The network helps show where Ting He may publish in the future.
Co-authors
The 25 scholars most cited alongside Ting He, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 147 | |
| 2 | 2021 | 32 | |
| 3 | 2016 | 31 | |
| 4 | 2020 | 28 | |
| 5 | 2015 | 28 | |
| 6 | 2013 | 27 | |
| 7 | 2019 | 21 | |
| 8 | 2023 | 13 | |
| 9 | 2019 | 13 | |
| 10 | 2018 | 13 | |
| 11 | 2013 | 13 | |
| 12 | 2022 | 11 | |
| 13 | 2021 | 11 | |
| 14 | 2021 | 10 | |
| 15 | 2020 | 10 | |
| 16 | 2016 | 9 | |
| 17 | 2021 | 8 | |
| 18 | 2016 | 8 | |
| 19 | 2021 | 8 | |
| 20 | 2018 | 7 |
About Ting He
Ting He is a scholar working on Oncology, Molecular Biology, Neurology, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 44 papers that have together received 521 indexed citations. Recurring topics across this work include CAR-T cell therapy research (8 papers), Blood Pressure and Hypertension Studies (3 papers), Myasthenia Gravis and Thymoma (3 papers), Inflammatory Biomarkers in Disease Prognosis (3 papers), Neonatal Respiratory Health Research (3 papers), Machine Learning in Healthcare (2 papers), Transcranial Magnetic Stimulation Studies (2 papers) and Advancements in Semiconductor Devices and Circuit Design (2 papers). The work is most often cited by research in Oncology (213 citations), Nephrology (42 citations), Rehabilitation (23 citations), Family Practice (6 citations) and Hematology (36 citations). Ting He has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xin‐an Lu, Xiaosu Zhou, Junfang Yang, Peihua Lu, Xian Zhang, Yunchao Su, Min Zhang, Dan Song, Wenqian Li and Hongxing Liu. Their work appears in journals such as PLoS ONE, Clinical Nephrology, Medicine, Clinical Rehabilitation and Neurological Sciences.
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.