Jun He
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Genetics top 10%
- Hemoglobinopathies and Related Disorders
Papers in
- Hematology 19
- Hematopoietic Stem Cell Transplantation 8
- Acute Myeloid Leukemia Research 7
- Genetics 9
- Hemoglobinopathies and Related Disorders 5
- Co-authors
- Shijun Su (8 shared papers)Leping Yang (7 shared papers)Qinglong Li (6 shared papers)Xuyang Hou (7 shared papers)Xu Tang (7 shared papers)Liwei Liu (4 shared papers)Mei Chen (3 shared papers)Tao Guo (5 shared papers)
- Journals
- Blood (6 papers)RSC Advances (3 papers)Oncotarget (3 papers)Frontiers in Oncology (3 papers)Journal of Pharmaceutical and Biomedical Analysis (2 papers)
- Partner nations
- ChinaUnited StatesRussia
In The Last Decade
Jun He
97 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 120
- Cancer Research 232
- Genetics 116
- Hematology 116
- Molecular Biology 460
- Organic Chemistry 175
Countries citing papers authored by Jun He
This map shows the geographic impact of Jun 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 Jun He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun He more than expected).
Fields of papers citing papers by Jun He
This network shows the impact of papers produced by Jun 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 Jun He. The network helps show where Jun He may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun 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 108 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 84 | |
| 2 | 2020 | 82 | |
| 3 | 2019 | 79 | |
| 4 | 2019 | 68 | |
| 5 | 2019 | 64 | |
| 6 | 2019 | 49 | |
| 7 | 2020 | 48 | |
| 8 | 2019 | 45 | |
| 9 | 2023 | 44 | |
| 10 | 2018 | 43 | |
| 11 | 2019 | 42 | |
| 12 | 2017 | 42 | |
| 13 | 2015 | 36 | |
| 14 | 2018 | 34 | |
| 15 | 2012 | 31 | |
| 16 | 2017 | 29 | |
| 17 | 2022 | 28 | |
| 18 | 2020 | 26 | |
| 19 | 2022 | 25 | |
| 20 | 2017 | 24 |
About Jun He
Jun He is a scholar working on Hematology, Genetics, Cancer Research, Molecular Biology and Immunology, having authored 108 papers that have together received 1.5k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (8 papers), Acute Myeloid Leukemia Research (7 papers), T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (6 papers), Cancer-related gene regulation (5 papers), Aluminum Alloys Composites Properties (5 papers), Synthesis and biological activity (5 papers) and Hemoglobinopathies and Related Disorders (5 papers). The work is most often cited by research in Cancer Research (232 citations), Genetics (116 citations), Hematology (116 citations), Molecular Biology (460 citations) and Organic Chemistry (175 citations). Jun He has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Shijun Su, Leping Yang, Qinglong Li, Xuyang Hou, Xu Tang, Liwei Liu, Mei Chen, Tao Guo, Xiongying Miao and Ming He. Their work appears in journals such as Blood, RSC Advances, Oncotarget, Frontiers in Oncology and Journal of Pharmaceutical and Biomedical Analysis.
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.