Heping Shen
Impact in
- Biological Psychiatry top 2%
- Tryptophan and brain disorders
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Inflammasome and immune disorders 7
-
- Acute Lymphoblastic Leukemia research 6
- Co-authors
- Qiaobing Guan (20 shared papers)Liping Zhai (21 shared papers)Yongjia Sheng (8 shared papers)Chenyang Han (10 shared papers)Li Guo (5 shared papers)Yi Yang (6 shared papers)Hongyan Pei (8 shared papers)Qingcai Jiao (3 shared papers)
- Journals
- Journal of Cellular and Molecular Medicine (5 papers)International Immunopharmacology (4 papers)CNS Neuroscience & Therapeutics (4 papers)Brain and Behavior (3 papers)Phytotherapy Research (3 papers)
- Partner nations
- ChinaUnited StatesRussia
In The Last Decade
Heping Shen
56 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 96
- Biological Psychiatry 141
- Neurology 146
- Hematology 158
- Immunology 175
- Molecular Biology 544
Countries citing papers authored by Heping Shen
This map shows the geographic impact of Heping Shen'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 Heping Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heping Shen more than expected).
Fields of papers citing papers by Heping Shen
This network shows the impact of papers produced by Heping Shen. 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 Heping Shen. The network helps show where Heping Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Heping Shen, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 174 | |
| 2 | 2020 | 168 | |
| 3 | 2020 | 162 | |
| 4 | 2021 | 88 | |
| 5 | 2004 | 68 | |
| 6 | 2021 | 62 | |
| 7 | 2020 | 57 | |
| 8 | 2022 | 53 | |
| 9 | 2019 | 53 | |
| 10 | 2023 | 40 | |
| 11 | 2020 | 39 | |
| 12 | 2021 | 38 | |
| 13 | 2020 | 31 | |
| 14 | 2023 | 26 | |
| 15 | 2019 | 23 | |
| 16 | 2023 | 20 | |
| 17 | 2016 | 18 | |
| 18 | 2022 | 15 | |
| 19 | 2023 | 14 | |
| 20 | 2020 | 14 |
About Heping Shen
Heping Shen is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Neurology, Epidemiology and Surgery, having authored 59 papers that have together received 1.3k indexed citations. Recurring topics across this work include Inflammasome and immune disorders (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Acute Lymphoblastic Leukemia research (6 papers), Traditional Chinese Medicine Analysis (4 papers), MicroRNA in disease regulation (4 papers), Tryptophan and brain disorders (3 papers), Fungal Infections and Studies (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Biological Psychiatry (141 citations), Neurology (146 citations), Hematology (158 citations), Immunology (175 citations) and Molecular Biology (544 citations). Heping Shen has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Qiaobing Guan, Liping Zhai, Yongjia Sheng, Chenyang Han, Li Guo, Yi Yang, Hongyan Pei, Qingcai Jiao, Xiaohong Zhou and Hua Song. Their work appears in journals such as Journal of Cellular and Molecular Medicine, International Immunopharmacology, CNS Neuroscience & Therapeutics, Brain and Behavior and Phytotherapy Research.
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.