Yaohong Wang
Impact in
- Cell Biology top 10%
- Cellular Mechanics and Interactions
- Endoplasmic Reticulum Stress and Disease
- Health Informatics top 10%
Papers in
-
- Sphingolipid Metabolism and Signaling 3
-
- Endoplasmic Reticulum Stress and Disease 4
- Cellular Mechanics and Interactions 4
- Microtubule and mitosis dynamics 3
- Co-authors
- Sudeep P. George (10 shared papers)Seema Khurana (10 shared papers)Rong Xu (2 shared papers)Alok Tomar (6 shared papers)Mohammad R. Siddiqui (3 shared papers)S. Mathew (3 shared papers)James W. Smith (1 shared paper)Keiran S.M. Smalley (1 shared paper)
- Journals
- Journal of Biological Chemistry (5 papers)Journal of Scientific Computing (2 papers)Modern Pathology (1 paper)Scientific Reports (1 paper)Journal of Pathology Informatics (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Yaohong Wang
40 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 135
- Cell Biology 164
- Health Informatics 13
- Molecular Biology 567
- Oncology 169
- Cellular and Molecular Neuroscience 114
Countries citing papers authored by Yaohong Wang
This map shows the geographic impact of Yaohong 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 Yaohong Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaohong Wang more than expected).
Fields of papers citing papers by Yaohong Wang
This network shows the impact of papers produced by Yaohong 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 Yaohong Wang. The network helps show where Yaohong Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yaohong 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 172 | |
| 2 | 2023 | 98 | |
| 3 | 2002 | 83 | |
| 4 | 2014 | 72 | |
| 5 | 2012 | 71 | |
| 6 | 2008 | 70 | |
| 7 | 2002 | 59 | |
| 8 | 2017 | 59 | |
| 9 | 2007 | 54 | |
| 10 | 2011 | 52 | |
| 11 | 2008 | 40 | |
| 12 | 2004 | 38 | |
| 13 | 2007 | 33 | |
| 14 | 2007 | 32 | |
| 15 | 2013 | 26 | |
| 16 | 2006 | 25 | |
| 17 | 2022 | 20 | |
| 18 | 2022 | 20 | |
| 19 | 2016 | 20 | |
| 20 | 2025 | 18 |
About Yaohong Wang
Yaohong Wang is a scholar working on Molecular Biology, Cell Biology, Computational Mechanics, Surgery and Oncology, having authored 44 papers that have together received 1.2k indexed citations. Recurring topics across this work include Eosinophilic Esophagitis (4 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Cellular Mechanics and Interactions (4 papers), Microtubule and mitosis dynamics (3 papers), Sphingolipid Metabolism and Signaling (3 papers), Fluid Dynamics and Heat Transfer (3 papers), AI in cancer detection (3 papers) and Computational Fluid Dynamics and Aerodynamics (3 papers). The work is most often cited by research in Cell Biology (164 citations), Health Informatics (13 citations), Molecular Biology (567 citations), Oncology (169 citations) and Cellular and Molecular Neuroscience (114 citations). Yaohong Wang has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Sudeep P. George, Seema Khurana, Rong Xu, Alok Tomar, Mohammad R. Siddiqui, S. Mathew, James W. Smith, Keiran S.M. Smalley, Patricia Van Belle and David E. Elder. Their work appears in journals such as Journal of Biological Chemistry, Journal of Scientific Computing, Modern Pathology, Scientific Reports and Journal of Pathology Informatics.
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.