John Wang
Impact in
- Transplantation top 2%
- Renal Transplantation Outcomes and Treatments
Papers in
-
- Heat shock proteins research 3
- Melanoma and MAPK Pathways 2
- Epigenetics and DNA Methylation 2
- Receptor Mechanisms and Signaling 2
- Pharmacological Receptor Mechanisms and Effects 2
- 14-3-3 protein interactions 2
- Co-authors
- Vijay K. Sharma (3 shared papers)David Serur (3 shared papers)Roxana Bologa (3 shared papers)Janet Mouradian (3 shared papers)Guoping Xu (2 shared papers)M Suthanthiran (2 shared papers)Baogui Li (2 shared papers)Ming‐Lei Guo (2 shared papers)
- Journals
- Kidney International (2 papers)Oncotarget (2 papers)PLoS ONE (2 papers)Cancer Research (2 papers)Molecular Cancer (1 paper)
- Partner nations
- United StatesTaiwanCanada
In The Last Decade
John Wang
21 papers receiving 966 citations
Peers
Comparison fields: 5 of 111
- Transplantation 196
- Biological Psychiatry 30
- Virology 54
- Nephrology 66
- Molecular Biology 470
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 | 165 | |
| 2 | 1996 | 117 | |
| 3 | 2018 | 96 | |
| 4 | 2011 | 84 | |
| 5 | 1995 | 59 | |
| 6 | 2013 | 59 | |
| 7 | 2008 | 52 | |
| 8 | 2011 | 44 | |
| 9 | 2021 | 39 | |
| 10 | 2015 | 38 | |
| 11 | 2012 | 36 | |
| 12 | 2017 | 33 | |
| 13 | 2022 | 30 | |
| 14 | 2002 | 30 | |
| 15 | 2014 | 29 | |
| 16 | 2023 | 27 | |
| 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, Health, Toxicology and Mutagenesis, Oncology and Transplantation, having authored 24 papers that have together received 993 indexed citations. Recurring topics across this work include Heat shock proteins research (3 papers), Melanoma and MAPK Pathways (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Epigenetics and DNA Methylation (2 papers), Renal Transplantation Outcomes and Treatments (2 papers), Receptor Mechanisms and Signaling (2 papers), Pharmacological Receptor Mechanisms and Effects (2 papers) and 14-3-3 protein interactions (2 papers). The work is most often cited by research in Transplantation (196 citations), Biological Psychiatry (30 citations), Virology (54 citations), Nephrology (66 citations) and Molecular Biology (470 citations). John Wang has collaborated with scholars based in United States, Taiwan and Canada. Frequent co-authors include Vijay K. Sharma, David Serur, Roxana Bologa, Janet Mouradian, Guoping Xu, M Suthanthiran, Baogui Li, Ming‐Lei Guo, Honghong Yao and Venkateswara Rao. Their work appears in journals such as Kidney International, Oncotarget, PLoS ONE, Cancer Research 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.