Jun Ni
Impact in
- Nephrology top 2%
- Chronic Kidney Disease and Diabetes
- Biochemistry top 5%
- Sulfur Compounds in Biology
Papers in
-
- Heme Oxygenase-1 and Carbon Monoxide 5
- Retinoids in leukemia and cellular processes 2
- Renal and related cancers 2
- Receptor Mechanisms and Signaling 2
-
- Renin-Angiotensin System Studies 5
- Co-authors
- Li Zhang (1 shared paper)Hong Xue (11 shared papers)Yü Huang (10 shared papers)Li Zhou (10 shared papers)Limin Lü (10 shared papers)Roland Stocker (2 shared papers)Christopher R. Parish (1 shared paper)Louise Dunn (1 shared paper)
- Journals
- Acta Pharmacologica Sinica (4 papers)PLoS ONE (2 papers)European Journal of Pharmacology (2 papers)Frontiers in Pharmacology (2 papers)Inflammation Research (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Jun Ni
55 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 100
- Nephrology 188
- Biochemistry 128
- Geriatrics and Gerontology 46
- Cancer Research 151
- Physiology 221
Countries citing papers authored by Jun Ni
This map shows the geographic impact of Jun Ni'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 Ni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Ni more than expected).
Fields of papers citing papers by Jun Ni
This network shows the impact of papers produced by Jun Ni. 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 Ni. The network helps show where Jun Ni may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Ni, 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 175 | |
| 2 | 2013 | 136 | |
| 3 | 2016 | 134 | |
| 4 | 2011 | 91 | |
| 5 | 2012 | 76 | |
| 6 | 2013 | 67 | |
| 7 | 2015 | 58 | |
| 8 | 2010 | 55 | |
| 9 | 2021 | 54 | |
| 10 | 2019 | 51 | |
| 11 | 2016 | 51 | |
| 12 | 2014 | 39 | |
| 13 | 2014 | 38 | |
| 14 | 2012 | 32 | |
| 15 | 2012 | 32 | |
| 16 | 2017 | 32 | |
| 17 | 2010 | 31 | |
| 18 | 2016 | 31 | |
| 19 | 2013 | 31 | |
| 20 | 2014 | 30 |
About Jun Ni
Jun Ni is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Immunology, Pathology and Forensic Medicine and Oncology, having authored 58 papers that have together received 1.6k indexed citations. Recurring topics across this work include Heme Oxygenase-1 and Carbon Monoxide (5 papers), Renin-Angiotensin System Studies (5 papers), Chronic Kidney Disease and Diabetes (2 papers), Retinoids in leukemia and cellular processes (2 papers), Renal and related cancers (2 papers), Nuclear Receptors and Signaling (2 papers), Receptor Mechanisms and Signaling (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Nephrology (188 citations), Biochemistry (128 citations), Geriatrics and Gerontology (46 citations), Cancer Research (151 citations) and Physiology (221 citations). Jun Ni has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Li Zhang, Hong Xue, Yü Huang, Li Zhou, Limin Lü, Roland Stocker, Christopher R. Parish, Louise Dunn, Robyn G. Midwinter and Hafizah Abdul Hamid. Their work appears in journals such as Acta Pharmacologica Sinica, PLoS ONE, European Journal of Pharmacology, Frontiers in Pharmacology and Inflammation 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.