Yanming F. Wang

1.1k total citations · 1 hit paper
8 papers, 935 citations indexed

About

Yanming F. Wang is a scholar working on Molecular Biology, Neurology and Immunology and Allergy. According to data from OpenAlex, Yanming F. Wang has authored 8 papers receiving a total of 935 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Neurology and 3 papers in Immunology and Allergy. Recurrent topics in Yanming F. Wang's work include Cell Adhesion Molecules Research (3 papers), S100 Proteins and Annexins (3 papers) and Acute Ischemic Stroke Management (2 papers). Yanming F. Wang is often cited by papers focused on Cell Adhesion Molecules Research (3 papers), S100 Proteins and Annexins (3 papers) and Acute Ischemic Stroke Management (2 papers). Yanming F. Wang collaborates with scholars based in United States. Yanming F. Wang's co-authors include Stuart A. Lipton, Sulpicio G. Soriano, Stella E. Tsirka, Sidney Strickland, Philip E. Stieg, Paul R. Hickey, Sulpicio G. Soriano, Matthew P. Frosch, Tanya N. Mayadas and Angela Coxon and has published in prestigious journals such as Nature Medicine, SHILAP Revista de lepidopterología and Stroke.

In The Last Decade

Yanming F. Wang

8 papers receiving 922 citations

Hit Papers

Tissue plasminogen activator (tPA) increase neuronal dama... 1998 2026 2007 2016 1998 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yanming F. Wang United States 7 358 324 315 256 177 8 935
Sulpicio G. Soriano United States 9 325 0.9× 326 1.0× 268 0.9× 255 1.0× 161 0.9× 10 1.0k
Emiri Tejima United States 12 342 1.0× 224 0.7× 309 1.0× 201 0.8× 108 0.6× 15 915
Sònia Solé Spain 7 165 0.5× 189 0.6× 241 0.8× 235 0.9× 99 0.6× 7 611
Belinda Cairns United States 12 94 0.3× 259 0.8× 494 1.6× 111 0.4× 126 0.7× 15 1.1k
J Lian United States 5 262 0.7× 504 1.6× 281 0.9× 51 0.2× 35 0.2× 5 974
Jérôme Parcq France 14 275 0.8× 154 0.5× 220 0.7× 227 0.9× 109 0.6× 20 680
Monica K. Wetzel United States 7 100 0.3× 168 0.5× 418 1.3× 254 1.0× 91 0.5× 8 804
Kenichiro Yata Japan 19 84 0.2× 184 0.6× 548 1.7× 103 0.4× 366 2.1× 54 1.4k
Ramiro Echeverry United States 11 149 0.4× 104 0.3× 222 0.7× 224 0.9× 91 0.5× 11 539
Hua Teng China 18 119 0.3× 201 0.6× 570 1.8× 266 1.0× 67 0.4× 42 1.1k

Countries citing papers authored by Yanming F. Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yanming F. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanming F. Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yanming F. Wang. A scholar is included among the top collaborators of Yanming F. 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 Yanming F. Wang. Yanming F. Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Wang, Yanming F., Judith K. Gwathmey, Guorong Zhang, et al.. (2005). Cerebrospinal fluid may mediate CNS ischemic injury. SHILAP Revista de lepidopterología. 2(1). 7–7. 9 indexed citations
2.
Soriano, Sulpicio G., Yanming F. Wang, Denisa D. Wagner, & Paul S. Frenette. (1999). P- and E-selectin-deficient mice are susceptible to cerebral ischemia–reperfusion injury. Brain Research. 835(2). 360–364. 17 indexed citations
3.
Soriano, Sulpicio G., Angela Coxon, Yanming F. Wang, et al.. (1999). Mice Deficient in Mac-1 (CD11b/CD18) Are Less Susceptible to Cerebral Ischemia/Reperfusion Injury. Stroke. 30(1). 134–139. 185 indexed citations
4.
Soriano, Sulpicio G., Yanming F. Wang, & Yang Pan. (1999). 805 MICE DEFICIENT IN NEUROTACTIN, A MEMBRANE BOUND CHEMOKINE ARE LESS SUSCEPTIBLE TO CEREBRAL-ISCHEMIA INJURY. Journal of Neurosurgical Anesthesiology. 11(4). 327–327. 4 indexed citations
5.
Soriano, Sulpicio G., Yanming F. Wang, Stuart A. Lipton, et al.. (1998). ICAM-1 dependent pathway is not involved in the development of neuronal apoptosis after transient focal cerebral ischemia. Brain Research. 780(2). 337–341. 8 indexed citations
6.
Wang, Yanming F., Stella E. Tsirka, Sidney Strickland, et al.. (1998). Tissue plasminogen activator (tPA) increase neuronal damage after focal cerebral ischemia in wild-type and tPA-deficient mice. Nature Medicine. 4(2). 228–231. 541 indexed citations breakdown →
7.
Le, Dean A., Saumya Das, Yanming F. Wang, et al.. (1997). Enhanced neuronal death from focal ischemia in AMPA-receptor transgenic mice. Molecular Brain Research. 52(2). 235–241. 25 indexed citations
8.
Soriano, Sulpicio G., et al.. (1996). Intercellular adhesion molecule‐1‐deficient mice are less susceptible to cerebral ischemia‐reperfusion lnjury. Annals of Neurology. 39(5). 618–624. 146 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.

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