Richard Wang

8.0k total citations · 2 hit papers
171 papers, 4.8k citations indexed

About

Richard Wang is a scholar working on Molecular Biology, Epidemiology and Immunology. According to data from OpenAlex, Richard Wang has authored 171 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 31 papers in Epidemiology and 19 papers in Immunology. Recurrent topics in Richard Wang's work include Acute Ischemic Stroke Management (16 papers), Cerebrovascular and Carotid Artery Diseases (13 papers) and Tuberculosis Research and Epidemiology (10 papers). Richard Wang is often cited by papers focused on Acute Ischemic Stroke Management (16 papers), Cerebrovascular and Carotid Artery Diseases (13 papers) and Tuberculosis Research and Epidemiology (10 papers). Richard Wang collaborates with scholars based in United States, China and United Kingdom. Richard Wang's co-authors include Zheng W. Chen, Jennifer Rexford, Donald P. Ballou, Giri Kumar Tayi, Harold L. Pazer, Zhixiang Wang, Crystal Y. Chen, Dan Huang, John Morgan and Ling Shen and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Richard Wang

157 papers receiving 4.5k citations

Hit Papers

OpenFlow-based server load balancing gone wild 2011 2026 2016 2021 2011 2023 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Richard Wang United States 38 1.1k 762 603 574 380 171 4.8k
Ping Luo China 39 1.8k 1.7× 388 0.5× 326 0.5× 171 0.3× 369 1.0× 265 5.7k
Zan Huang China 50 2.6k 2.4× 666 0.9× 808 1.3× 154 0.3× 379 1.0× 197 8.5k
Fusheng Wang United States 42 1.1k 1.0× 512 0.7× 1.3k 2.1× 152 0.3× 948 2.5× 307 6.4k
Yuxin Chen China 40 1.8k 1.7× 659 0.9× 769 1.3× 841 1.5× 88 0.2× 382 6.2k
Jing Lei China 37 900 0.9× 746 1.0× 500 0.8× 195 0.3× 71 0.2× 160 4.8k
Xian Wu China 43 946 0.9× 165 0.2× 229 0.4× 148 0.3× 356 0.9× 453 7.7k
William Peterson United States 42 1.7k 1.6× 844 1.1× 365 0.6× 124 0.2× 99 0.3× 252 7.7k
Linda K. Green United States 40 774 0.7× 514 0.7× 463 0.8× 158 0.3× 245 0.6× 173 6.1k
Shu‐Jen Chen Taiwan 37 2.3k 2.2× 274 0.4× 398 0.7× 341 0.6× 64 0.2× 152 5.9k
Jinyan Li China 46 3.5k 3.4× 223 0.3× 276 0.5× 226 0.4× 358 0.9× 488 9.5k

Countries citing papers authored by Richard Wang

Since Specialization
Citations

This map shows the geographic impact of Richard 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 Richard Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard Wang more than expected).

Fields of papers citing papers by Richard Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard 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 Richard Wang. The network helps show where Richard Wang may publish in the future.

Co-authorship network of co-authors of Richard Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Richard Wang. A scholar is included among the top collaborators of Richard Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Richard Wang. Richard Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Qiao, D., Richard Wang, & Zhixiang Wang. (2025). Precision Oncology: Current Landscape, Emerging Trends, Challenges, and Future Perspectives. Cells. 14(22). 1804–1804.
2.
Wang, Richard, Adrian Najer, Jang Ah Kim, et al.. (2025). Vascularized and Perfusable Human Heart‐on‐a‐Chip Model Recapitulates Aspects of Myocardial Ischemia and Enables Analysis of Nanomedicine Delivery. Advanced Materials. 37(41). e18909–e18909. 1 indexed citations
3.
Lakhani, Dhairya A., Aneri Balar, Hamza Salim, et al.. (2025). The relative cerebral blood volume (rCBV) <42% is independently associated with prolonged hospitalization in anterior circulation large vessel occlusion. The Neuroradiology Journal. 39(1). 111–118.
5.
Xie, Ruoxiao, Richard Wang, Sebastien J. P. Callens, et al.. (2024). Magnetically driven formation of 3D freestanding soft bioscaffolds. Science Advances. 10(5). eadl1549–eadl1549. 27 indexed citations
6.
Siddiqui, H.L., Ihtisham Ul Haq, Andrew Cho, et al.. (2024). Molecular Mechanisms of Ischemic Stroke: A Review Integrating Clinical Imaging and Therapeutic Perspectives. Biomedicines. 12(4). 812–812. 14 indexed citations
7.
Ozkara, Burak Berksu, et al.. (2023). Prediction of Poor Outcome after Successful Thrombectomy in Patients with Severe Acute Ischemic Stroke: A Pilot Retrospective Study. Neurology International. 15(1). 225–237. 3 indexed citations
9.
Arthur, Karissa, Alireza Mohseni, Richard Wang, et al.. (2023). Assessing the Relationship between LAMS and CT Perfusion Parameters in Acute Ischemic Stroke Secondary to Large Vessel Occlusion. Journal of Clinical Medicine. 12(10). 3374–3374. 1 indexed citations
10.
Qaqish, Arwa, Dan Huang, Crystal Y. Chen, et al.. (2017). Adoptive Transfer of Phosphoantigen-Specific γδ T Cell Subset Attenuates Mycobacterium tuberculosis Infection in Nonhuman Primates. The Journal of Immunology. 198(12). 4753–4763. 59 indexed citations
11.
Shen, Ling, Crystal Y. Chen, Dan Huang, et al.. (2017). Pathogenic Events in a Nonhuman Primate Model of Oral Poliovirus Infection Leading to Paralytic Poliomyelitis. Journal of Virology. 91(14). 29 indexed citations
12.
Li, Meng, Xuan Luo, Victor Liu, et al.. (2016). In vivo human adipose-derived mesenchymal stem cell tracking after intra-articular delivery in a rat osteoarthritis model. Stem Cell Research & Therapy. 7(1). 160–160. 89 indexed citations
13.
Wang, Richard, et al.. (2011). OpenFlow-based server load balancing gone wild. 12–12. 275 indexed citations breakdown →
14.
Yao, Shuyu, Dan Huang, Lisa Halliday, et al.. (2010). Differentiation, distribution and {gamma}{delta} T cell-driven regulation of IL-22-producing T cells in tuberculosis. The Journal of Immunology. 184. 34 indexed citations
15.
Grabowski, Henry G. & Richard Wang. (2008). Do Faster FDA Drug Reviews Adversely Affect Patient Safety? An Analysis of the 1992 Prescription Drug User Fee Act. DukeSpace (Duke University). 1 indexed citations
16.
Percus, Allon G., Richard Wang, Jeffrey D. Hyman, & Russel E. Caflisch. (2008). Parallel tempering for the traveling salesman problem. Physica A Statistical Mechanics and its Applications.
17.
Wang, Richard, et al.. (2007). IPMAP Research Status and Direction.. ICIQ. 500–517. 3 indexed citations
18.
Wu, Ningning, Elizabeth M. Pierce, John R. Talburt, & Richard Wang. (2006). An Information Theoretic Approach to Information Quality Metric.. ICIQ. 133–145. 1 indexed citations
19.
Talburt, John R., et al.. (2004). An Algebraic Approach to Quality Metrics for Customer Recognition Systems.. ICIQ. 234–247. 1 indexed citations
20.
Chin, Wynne W., Barbara L. Marcolin, Thomas C. Redman, Arie Segev, & Richard Wang. (1994). The Partial Least Squares Approach for Causal Modeling in IS Research. Journal of the Association for Information Systems. 505. 1 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026