He Ren
Impact in
- Oncology top 5%
- Pancreatic and Hepatic Oncology Research
- Cancer Immunotherapy and Biomarkers
- Biomaterials top 2%
- Nanoparticle-Based Drug Delivery
Papers in
- Oncology 41
- Pancreatic and Hepatic Oncology Research 31
- Cancer Immunotherapy and Biomarkers 10
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- Cancer, Hypoxia, and Metabolism 12
- Co-authors
- Jihui Hao (24 shared papers)Xiao Ling Zhao (6 shared papers)Guangjun Nie (6 shared papers)Xiuchao Wang (16 shared papers)Zhongchao Han (7 shared papers)Ruining Gong (14 shared papers)Shengyu Yang (5 shared papers)Tiansuo Zhao (12 shared papers)
- Journals
- Cancer Letters (8 papers)Signal Transduction and Targeted Therapy (3 papers)Pancreatology (3 papers)Cancer Research (3 papers)Biomaterials (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
He Ren
95 papers receiving 3.3k citations
He Ren's Hit Papers
Peers
Comparison fields: 5 of 105
- Oncology 885
- Biomaterials 396
- Genetics 275
- Cancer Research 348
- Immunology 351
Countries citing papers authored by He Ren
This map shows the geographic impact of He Ren'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 He Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites He Ren more than expected).
Fields of papers citing papers by He Ren
This network shows the impact of papers produced by He Ren. 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 He Ren. The network helps show where He Ren may publish in the future.
Co-authors
The 25 scholars most cited alongside He Ren, 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 101 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 240 | |
| 2 | 2015 | 222 | |
| 3 | 2016 | 188 | |
| 4 | 2010 | 170 | |
| 5 | Type 1 and type 2 T-cell profiles in idiopathic thrombocytopenic purpura. | 2005 | 151 |
| 6 | 2014 | 146 | |
| 7 | 2013 | 131 | |
| 8 | 2022 | 112 | |
| 9 | 2014 | 108 | |
| 10 | 2020 | 108 | |
| 11 | 2016 | 91 | |
| 12 | 2014 | 88 | |
| 13 | 2022 | 88 | |
| 14 | 2016 | 86 | |
| 15 | TSPAN8 + myofibroblastic cancer–associated fibroblasts promote chemoresistance in patients with breast cancer Hit paper breakdown → | 2024 | 78 |
| 16 | 2023 | 76 | |
| 17 | 2021 | 70 | |
| 18 | 2020 | 57 | |
| 19 | 2019 | 55 | |
| 20 | 2013 | 51 |
About He Ren
He Ren is a scholar working on Oncology, Cancer Research, Immunology, Molecular Biology and Biomaterials, having authored 101 papers that have together received 3.4k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (31 papers), Cancer, Hypoxia, and Metabolism (12 papers), Cancer Immunotherapy and Biomarkers (10 papers), Nanoparticle-Based Drug Delivery (6 papers), T-cell and B-cell Immunology (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Angiogenesis and VEGF in Cancer (5 papers) and Mesenchymal stem cell research (4 papers). The work is most often cited by research in Oncology (885 citations), Biomaterials (396 citations), Genetics (275 citations), Cancer Research (348 citations) and Immunology (351 citations). He Ren has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jihui Hao, Xiao Ling Zhao, Guangjun Nie, Xiuchao Wang, Zhongchao Han, Ruining Gong, Shengyu Yang, Tiansuo Zhao, Hai Wang and Feng Li. Their work appears in journals such as Cancer Letters, Signal Transduction and Targeted Therapy, Pancreatology, Cancer Research and Biomaterials.
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.