H Ji
Impact in
-
- Renin-Angiotensin System Studies
-
- Hormonal Regulation and Hypertension
Papers in
-
- Receptor Mechanisms and Signaling 4
- RNA modifications and cancer 4
-
- Hormonal Regulation and Hypertension 4
- Co-authors
- Kathryn Sandberg (7 shared papers)Kevin Catt (6 shared papers)Hagit Shapira (1 shared paper)Adrian J. L. Clark (1 shared paper)Mandy H. M. Leung (1 shared paper)Yong Zhang (1 shared paper)Kwok‐Kin Wong (3 shared papers)Giovanni Tonon (2 shared papers)
- Journals
- Oncogene (3 papers)Journal of Thoracic Oncology (2 papers)Journal of Biological Chemistry (2 papers)Proceedings of the National Academy of Sciences (2 papers)The Journal of Cell Biology (1 paper)
- Partner nations
- United StatesChinaCameroon
In The Last Decade
H Ji
19 papers receiving 965 citations
Peers
Comparison fields: 5 of 78
- Cardiology and Cardiovascular Medicine 427
- Endocrinology, Diabetes and Metabolism 232
- Molecular Biology 554
- Cancer Research 121
- Cellular and Molecular Neuroscience 136
Countries citing papers authored by H Ji
This map shows the geographic impact of H Ji'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 H Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H Ji more than expected).
Fields of papers citing papers by H Ji
This network shows the impact of papers produced by H Ji. 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 H Ji. The network helps show where H Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside H Ji, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1992 | 239 | |
| 2 | 2005 | 219 | |
| 3 | 1994 | 116 | |
| 4 | 2011 | 86 | |
| 5 | 2016 | 66 | |
| 6 | 1994 | 65 | |
| 7 | 1993 | 57 | |
| 8 | 1995 | 46 | |
| 9 | 1991 | 30 | |
| 10 | 1992 | 27 | |
| 11 | 2005 | 13 | |
| 12 | 2025 | 5 | |
| 13 | 2006 | 5 | |
| 14 | 2025 | 3 | |
| 15 | 2025 | 2 | |
| 16 | 2025 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2014 | 1 | |
| 19 | 2021 | 1 | |
| 20 | 2021 | 1 |
About H Ji
H Ji is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Cancer Research, Cardiology and Cardiovascular Medicine and Oncology, having authored 22 papers that have together received 984 indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (4 papers), Hormonal Regulation and Hypertension (4 papers), Receptor Mechanisms and Signaling (4 papers), RNA modifications and cancer (4 papers), MicroRNA in disease regulation (2 papers), Neuropeptides and Animal Physiology (2 papers), Cancer-related molecular mechanisms research (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (427 citations), Endocrinology, Diabetes and Metabolism (232 citations), Molecular Biology (554 citations), Cancer Research (121 citations) and Cellular and Molecular Neuroscience (136 citations). H Ji has collaborated with scholars based in United States, China and Cameroon. Frequent co-authors include Kathryn Sandberg, Kevin Catt, Hagit Shapira, Adrian J. L. Clark, Mandy H. M. Leung, Yong Zhang, Kwok‐Kin Wong, Giovanni Tonon, Roderick T. Bronson and Aram F. Hezel. Their work appears in journals such as Oncogene, Journal of Thoracic Oncology, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences and The Journal of Cell 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.