Jun Shi
Impact in
- Molecular Biology top 10%
- Metabolism, Diabetes, and Cancer
- Bone Metabolism and Diseases
- Muscle Physiology and Disorders
- Inflammasome and immune disorders
- Plant Reproductive Biology
- Pharmacology top 5%
Papers in
- Immunology 11
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 4
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- Advancements in Transdermal Drug Delivery 5
- Co-authors
- Konstantin V. Kandror (5 shared papers)Baoping Chen (6 shared papers)Nicholas C. Carpita (3 shared papers)Huicong Li (4 shared papers)Suxia Yang (4 shared papers)Cynthia M. Smas (1 shared paper)Partha Chakrabarti (1 shared paper)Xiaoguang Zhu (2 shared papers)
- Journals
- European Journal of Pharmacology (3 papers)The Plant Journal (3 papers)Bone (3 papers)Chemico-Biological Interactions (2 papers)Biomedicine & Pharmacotherapy (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jun Shi
49 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 110
- Molecular Biology 1.0k
- Pharmacology 114
- Biochemistry 95
- Nephrology 80
- Physiology 263
Countries citing papers authored by Jun Shi
This map shows the geographic impact of Jun Shi'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 Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Shi more than expected).
Fields of papers citing papers by Jun Shi
This network shows the impact of papers produced by Jun Shi. 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 Shi. The network helps show where Jun Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Shi, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 195 | |
| 2 | 2011 | 128 | |
| 3 | 1994 | 107 | |
| 4 | 1993 | 106 | |
| 5 | 2014 | 87 | |
| 6 | 2017 | 86 | |
| 7 | 2018 | 79 | |
| 8 | 2018 | 78 | |
| 9 | 2019 | 74 | |
| 10 | 2014 | 73 | |
| 11 | 2001 | 70 | |
| 12 | 2012 | 59 | |
| 13 | 2015 | 52 | |
| 14 | 2013 | 50 | |
| 15 | 2017 | 50 | |
| 16 | 2015 | 49 | |
| 17 | 2007 | 46 | |
| 18 | 2017 | 46 | |
| 19 | 2014 | 42 | |
| 20 | 2019 | 41 |
About Jun Shi
Jun Shi is a scholar working on Immunology, Pharmaceutical Science, Clinical Biochemistry, Molecular Biology and Nephrology, having authored 50 papers that have together received 1.9k indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (6 papers), Pancreatic function and diabetes (5 papers), Advancements in Transdermal Drug Delivery (5 papers), Essential Oils and Antimicrobial Activity (4 papers), Advanced Glycation End Products research (4 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers), Chronic Kidney Disease and Diabetes (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). The work is most often cited by research in Molecular Biology (1.0k citations), Pharmacology (114 citations), Biochemistry (95 citations), Nephrology (80 citations) and Physiology (263 citations). Jun Shi has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Konstantin V. Kandror, Baoping Chen, Nicholas C. Carpita, Huicong Li, Suxia Yang, Cynthia M. Smas, Partha Chakrabarti, Xiaoguang Zhu, David J. Glass and Chikwendu Ibebunjo. Their work appears in journals such as European Journal of Pharmacology, The Plant Journal, Bone, Chemico-Biological Interactions and Biomedicine & Pharmacotherapy.
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.