Soo San Wan

849 total citations
10 papers, 378 citations indexed

About

Soo San Wan is a scholar working on Molecular Biology, Organic Chemistry and Pharmacology. According to data from OpenAlex, Soo San Wan has authored 10 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Organic Chemistry and 2 papers in Pharmacology. Recurrent topics in Soo San Wan's work include Microbial Natural Products and Biosynthesis (2 papers), Cancer-related Molecular Pathways (2 papers) and Adenosine and Purinergic Signaling (1 paper). Soo San Wan is often cited by papers focused on Microbial Natural Products and Biosynthesis (2 papers), Cancer-related Molecular Pathways (2 papers) and Adenosine and Purinergic Signaling (1 paper). Soo San Wan collaborates with scholars based in Australia. Soo San Wan's co-authors include Gordon K. Smyth, Susie Kitsoulis, Belinda Phipson, Irina Caminschi, Gayle M. Davey, Fatma Ahmet, Yu Kato, William R. Heath, Mireille H. Lahoud and David Vremec and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and Tetrahedron.

In The Last Decade

Soo San Wan

10 papers receiving 372 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Soo San Wan Australia 8 170 151 61 55 45 10 378
Irwin A. Braude United States 11 141 0.8× 132 0.9× 56 0.9× 40 0.7× 37 0.8× 20 332
Md Kamal Hossain United States 10 150 0.9× 157 1.0× 64 1.0× 42 0.8× 15 0.3× 17 406
Peter Stütz Austria 11 187 1.1× 138 0.9× 79 1.3× 47 0.9× 24 0.5× 17 376
John Zhu United States 10 79 0.5× 235 1.6× 143 2.3× 37 0.7× 18 0.4× 17 418
Darrell A. Robertson United States 11 204 1.2× 228 1.5× 57 0.9× 21 0.4× 30 0.7× 13 504
Michiko Kimura Japan 13 94 0.6× 241 1.6× 116 1.9× 45 0.8× 61 1.4× 36 496
Mikako Hirohama Japan 11 142 0.8× 343 2.3× 128 2.1× 42 0.8× 32 0.7× 18 470
Azusa Shibazaki Japan 11 204 1.2× 154 1.0× 27 0.4× 93 1.7× 97 2.2× 16 491
Jon J. Schmuke United States 11 74 0.4× 238 1.6× 27 0.4× 32 0.6× 10 0.2× 14 373
Harumi Chiba Japan 9 79 0.5× 418 2.8× 27 0.4× 95 1.7× 38 0.8× 11 541

Countries citing papers authored by Soo San Wan

Since Specialization
Citations

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

Fields of papers citing papers by Soo San Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Soo San Wan. 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 Soo San Wan. The network helps show where Soo San Wan may publish in the future.

Co-authorship network of co-authors of Soo San Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Soo San Wan. A scholar is included among the top collaborators of Soo San Wan 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 Soo San Wan. Soo San Wan 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.
Duggan, Peter J., et al.. (2015). Exploiting the Biginelli reaction: nitrogen-rich pyrimidine-based tercyclic α-helix mimetics. Tetrahedron. 72(9). 1151–1160. 8 indexed citations
2.
Segal, David, Tracy L. Nero, Michael W. Parker, et al.. (2015). Discovery and SAR of novel pyrazolo[1,5-a]pyrimidines as inhibitors of CDK9. Bioorganic & Medicinal Chemistry. 23(19). 6280–6296. 35 indexed citations
3.
Lahoud, Mireille H., Fatma Ahmet, Susie Kitsoulis, et al.. (2011). Targeting Antigen to Mouse Dendritic Cells via Clec9A Induces Potent CD4 T Cell Responses Biased toward a Follicular Helper Phenotype. The Journal of Immunology. 187(2). 842–850. 177 indexed citations
4.
Burns, Christopher J., Emmanuelle Fantino, Ian Phillips, et al.. (2009). CYT997: a novel orally active tubulin polymerization inhibitor with potent cytotoxic and vascular disrupting activity in vitro and in vivo. Molecular Cancer Therapeutics. 8(11). 3036–3045. 28 indexed citations
5.
Burns, Christopher J., Michael F. Harte, Xianyong Bu, et al.. (2008). Discovery of 2-(α-methylbenzylamino) pyrazines as potent Type II inhibitors of FMS. Bioorganic & Medicinal Chemistry Letters. 19(4). 1206–1209. 9 indexed citations
6.
Rochfort, Simone, Simon P. B. Ovenden, Soo San Wan, et al.. (2005). A Novel Aspochalasin with HIV-1 Integrase Inhibitory Activity from Aspergillus flavipes. The Journal of Antibiotics. 58(4). 279–283. 43 indexed citations
7.
Ovenden, Simon P. B., Soo San Wan, Gian Sberna, et al.. (2005). Physaloside A, an Acylated Sucrose Ester from Physalis viscosa. Journal of Natural Products. 68(2). 282–284. 15 indexed citations
8.
Ovenden, Simon P. B., Soo San Wan, Gian Sberna, et al.. (2005). Trichomycins A and B:  Antibacterial Triterpenes from the New Species Tricholoma sp. AU1. Journal of Natural Products. 68(3). 409–412. 6 indexed citations
9.
Ovenden, Simon P. B., Jin Yu, Soo San Wan, et al.. (2005). Globoidnan A: A Lignan from Eucalyptus globoidea Inhibits HIV Integrase.. ChemInform. 36(19). 3 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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