John Wang
Impact in
- Transplantation top 2%
- Renal Transplantation Outcomes and Treatments
- Biological Psychiatry top 10%
Papers in
-
- Heat shock proteins research 3
- 14-3-3 protein interactions 2
- Cancer-related gene regulation 2
- Receptor Mechanisms and Signaling 2
- Epigenetics and DNA Methylation 2
- Melanoma and MAPK Pathways 2
-
- Neuroscience and Neuropharmacology Research 2
- Co-authors
- Janet Mouradian (3 shared papers)Vijay K. Sharma (3 shared papers)David Serur (3 shared papers)Roxana Bologa (3 shared papers)Guoping Xu (2 shared papers)M Suthanthiran (2 shared papers)Baogui Li (2 shared papers)Shilpa Buch (2 shared papers)
- Journals
- Oncotarget (2 papers)Cancer Research (2 papers)PLoS ONE (2 papers)Kidney International (2 papers)Molecular Cancer (1 paper)
- Partner nations
- United StatesTaiwanCanada
In The Last Decade
John Wang
22 papers receiving 995 citations
Peers
Comparison fields: 5 of 108
- Transplantation 163
- Biological Psychiatry 30
- Virology 53
- Nephrology 54
- Neurology 55
Countries citing papers authored by John Wang
This map shows the geographic impact of John 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 John Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Wang more than expected).
Fields of papers citing papers by John Wang
This network shows the impact of papers produced by John 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 John Wang. The network helps show where John Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside John 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 168 | |
| 2 | 1996 | 125 | |
| 3 | 2018 | 104 | |
| 4 | 2011 | 87 | |
| 5 | 2013 | 60 | |
| 6 | 1995 | 58 | |
| 7 | 2008 | 54 | |
| 8 | 2011 | 47 | |
| 9 | 2021 | 39 | |
| 10 | 2012 | 38 | |
| 11 | 2015 | 38 | |
| 12 | 2017 | 37 | |
| 13 | 2022 | 32 | |
| 14 | 2002 | 31 | |
| 15 | 2014 | 29 | |
| 16 | 2023 | 28 | |
| 17 | 2022 | 25 | |
| 18 | 2017 | 17 | |
| 19 | 2014 | 9 | |
| 20 | Abstract #3687: In vivo anticancer activity of E6201, a novel MEK1 inhibitor, against BRAF-mutated human cancer xenografts | 2009 | 3 |
About John Wang
John Wang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Transplantation, Organic Chemistry and Surgery, having authored 24 papers that have together received 1.0k indexed citations. Recurring topics across this work include Heat shock proteins research (3 papers), 14-3-3 protein interactions (2 papers), Renal Transplantation Outcomes and Treatments (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Cancer-related gene regulation (2 papers), Receptor Mechanisms and Signaling (2 papers), Epigenetics and DNA Methylation (2 papers) and Melanoma and MAPK Pathways (2 papers). The work is most often cited by research in Transplantation (163 citations), Biological Psychiatry (30 citations), Virology (53 citations), Nephrology (54 citations) and Neurology (55 citations). John Wang has collaborated with scholars based in United States, Taiwan and Canada. Frequent co-authors include Janet Mouradian, Vijay K. Sharma, David Serur, Roxana Bologa, Guoping Xu, M Suthanthiran, Baogui Li, Shilpa Buch, Venkateswara Rao and Honghong Yao. Their work appears in journals such as Oncotarget, Cancer Research, PLoS ONE, Kidney International and Molecular Cancer.
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.