Min Wong

536 total citations
10 papers, 269 citations indexed

About

Min Wong is a scholar working on Molecular Biology, Immunology and Organic Chemistry. According to data from OpenAlex, Min Wong has authored 10 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Immunology and 2 papers in Organic Chemistry. Recurrent topics in Min Wong's work include Sphingolipid Metabolism and Signaling (4 papers), Neonatal Respiratory Health Research (2 papers) and Ion Channels and Receptors (2 papers). Min Wong is often cited by papers focused on Sphingolipid Metabolism and Signaling (4 papers), Neonatal Respiratory Health Research (2 papers) and Ion Channels and Receptors (2 papers). Min Wong collaborates with scholars based in United States and Canada. Min Wong's co-authors include Han Xu, Mike Frohn, Philip Tagari, Xiaoming Zou, Randall W. Hungate, Matthew Plant, Roland W. Bürli, Michele McElvain, Matthew Adlam and Vellarkad N. Viswanadhan and has published in prestigious journals such as The Journal of Immunology, Journal of Pharmacology and Experimental Therapeutics and Bioorganic & Medicinal Chemistry Letters.

In The Last Decade

Min Wong

10 papers receiving 260 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Min Wong United States 7 195 66 50 33 27 10 269
József Lázár Hungary 11 166 0.9× 27 0.4× 136 2.7× 16 0.5× 14 0.5× 22 377
S J Adelman United States 7 185 0.9× 156 2.4× 12 0.2× 18 0.5× 21 0.8× 9 446
Tamara Vervloessem Belgium 8 295 1.5× 37 0.6× 20 0.4× 7 0.2× 11 0.4× 10 387
Aru Singh India 10 195 1.0× 65 1.0× 10 0.2× 54 1.6× 9 0.3× 12 331
Thomas Sell Germany 6 123 0.6× 15 0.2× 55 1.1× 8 0.2× 6 0.2× 8 230
Álvaro Macías Spain 14 246 1.3× 18 0.3× 7 0.1× 18 0.5× 8 0.3× 24 376
Christine S. Gibhardt Germany 9 195 1.0× 21 0.3× 46 0.9× 5 0.2× 9 0.3× 13 305
Clay Wakano United States 8 218 1.1× 25 0.4× 116 2.3× 4 0.1× 4 0.1× 12 379
M. Grandinetti Italy 5 132 0.7× 68 1.0× 18 0.4× 4 0.1× 15 0.6× 5 371
Casey D. Charvet United States 8 180 0.9× 35 0.5× 3 0.1× 42 1.3× 10 0.4× 11 325

Countries citing papers authored by Min Wong

Since Specialization
Citations

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

Fields of papers citing papers by Min Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Wong

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

All Works

10 of 10 papers shown
1.
McBride, Helen J., Vincent Chow, Palanisamy Kanakaraj, et al.. (2021). Non-clinical similarity of biosimilar ABP 798 with rituximab reference product. Biologicals. 72. 42–53. 2 indexed citations
2.
Gaida, Kevin, Hossein Salimi-Moosavi, Raju Subramanian, et al.. (2014). Inhibition of CRAC with a human anti-ORAI1 monoclonal antibody inhibits T-cell-derived cytokine production but fails to inhibit a T-cell-dependent antibody response in the cynomolgus monkey. Journal of Immunotoxicology. 12(2). 164–173. 11 indexed citations
3.
Xu, Han, Michele McElvain, Mike Fiorino, et al.. (2013). Predictability of Peripheral Lymphocyte Reduction of Novel S1P1 Agonists by In Vitro GPCR Signaling Profile. SLAS DISCOVERY. 18(9). 997–1007. 3 indexed citations
4.
Lin, Fen‐Fen, Robin Elliott, Anne Colombero, et al.. (2013). Generation and Characterization of Fully Human Monoclonal Antibodies Against Human Orai1 for Autoimmune Disease. Journal of Pharmacology and Experimental Therapeutics. 345(2). 225–238. 63 indexed citations
5.
Reed, Anthony B., Brian A. Lanman, Susana Neira, et al.. (2011). Isoform-selective thiazolo[5,4-b]pyridine S1P1 agonists possessing acyclic amino carboxylate head-groups. Bioorganic & Medicinal Chemistry Letters. 22(4). 1779–1783. 5 indexed citations
6.
Harrington, Paul E., Christopher Fotsch, Mike Frohn, et al.. (2011). Optimization of a Potent, Orally Active S1P1 Agonist Containing a Quinolinone Core. ACS Medicinal Chemistry Letters. 3(1). 74–78. 13 indexed citations
7.
Pennington, Lewis D., Kelvin Sham, Alexander J. Pickrell, et al.. (2011). 4-Methoxy-N-[2-(trifluoromethyl)biphenyl-4-ylcarbamoyl]nicotinamide: A Potent and Selective Agonist of S1P1. ACS Medicinal Chemistry Letters. 2(10). 752–757. 12 indexed citations
8.
Frohn, Mike, Han Xu, Xiaoming Zou, et al.. (2007). New ‘chemical probes’ to examine the role of the hFPRL1 (or ALXR) receptor in inflammation. Bioorganic & Medicinal Chemistry Letters. 17(23). 6633–6637. 29 indexed citations
9.
Bürli, Roland W., Han Xu, Xiaoming Zou, et al.. (2006). Potent hFPRL1 (ALXR) agonists as potential anti-inflammatory agents. Bioorganic & Medicinal Chemistry Letters. 16(14). 3713–3718. 103 indexed citations
10.

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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