Jining Wang
Impact in
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- Vitamin D Research Studies
- Biochemistry top 5%
- Lipid metabolism and biosynthesis
Papers in
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- Vitamin D Research Studies 12
-
- Metabolism, Diabetes, and Cancer 2
- Co-authors
- David Feldman (14 shared papers)Peter J. Malloy (12 shared papers)Lihong Peng (3 shared papers)Lihong Peng (2 shared papers)Srilatha Swami (2 shared papers)Aruna V. Krishnan (2 shared papers)Jacqueline Moreno (2 shared papers)Wen‐Jun Shen (2 shared papers)
- Journals
- Endocrinology (4 papers)Molecular Genetics and Metabolism (2 papers)Journal of Bone and Mineral Research (2 papers)Advances in experimental medicine and biology (1 paper)FEBS Letters (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Jining Wang
24 papers receiving 795 citations
Peers
Comparison fields: 5 of 71
- Pathology and Forensic Medicine 403
- Biochemistry 96
- Reproductive Medicine 106
- Urology 59
- Cell Biology 116
Countries citing papers authored by Jining Wang
This map shows the geographic impact of Jining Wang'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 Jining Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jining Wang more than expected).
Fields of papers citing papers by Jining Wang
This network shows the impact of papers produced by Jining Wang. 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 Jining Wang. The network helps show where Jining Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jining Wang, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 144 | |
| 2 | 2003 | 138 | |
| 3 | 2008 | 95 | |
| 4 | 2000 | 60 | |
| 5 | Nonsecretory IgA1 autoantibodies targeting desmosomal component desmoglein 3 in intraepidermal neutrophilic IgA dermatosis. | 1997 | 40 |
| 6 | 2013 | 39 | |
| 7 | 2009 | 34 | |
| 8 | 2010 | 28 | |
| 9 | 2007 | 28 | |
| 10 | 2011 | 28 | |
| 11 | 1993 | 26 | |
| 12 | 2006 | 25 | |
| 13 | 2006 | 23 | |
| 14 | 2008 | 22 | |
| 15 | 2007 | 20 | |
| 16 | 2011 | 14 | |
| 17 | 2005 | 14 | |
| 18 | 2009 | 11 | |
| 19 | 2009 | 10 | |
| 20 | 1999 | 6 |
About Jining Wang
Jining Wang is a scholar working on Pathology and Forensic Medicine, Molecular Biology, Urology, Genetics and Cell Biology, having authored 26 papers that have together received 813 indexed citations. Recurring topics across this work include Vitamin D Research Studies (12 papers), Estrogen and related hormone effects (6 papers), Hair Growth and Disorders (5 papers), Biotin and Related Studies (5 papers), Inflammatory mediators and NSAID effects (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Metabolism, Diabetes, and Cancer (2 papers) and Lipid metabolism and biosynthesis (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (403 citations), Biochemistry (96 citations), Reproductive Medicine (106 citations), Urology (59 citations) and Cell Biology (116 citations). Jining Wang has collaborated with scholars based in United States, China and Japan. Frequent co-authors include David Feldman, Peter J. Malloy, Lihong Peng, Lihong Peng, Srilatha Swami, Aruna V. Krishnan, Jacqueline Moreno, Wen‐Jun Shen, Shailja Patel and Fredric B. Kraemer. Their work appears in journals such as Endocrinology, Molecular Genetics and Metabolism, Journal of Bone and Mineral Research, Advances in experimental medicine and biology and FEBS Letters.
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.