Bin Su

92 papers receiving 1.8k citations

Peers

Bin Su
Comparison fields: 5 of 118
  • Toxicology 100
  • Pharmacology 314
  • Cancer Research 218
  • Organic Chemistry 362
  • Molecular Biology 866
Replace Amareshwar T.K. Singh with:
Amareshwar T.K. Singh United States
Xia Li China
Mai F. Tolba Egypt
Xing Jin China
Rajgopal Govindarajan United States
Parama Dey India
Pankaj Patel India
Monica Benvenuto Italy
Wojciech Miltyk Poland
Bin Su relative to Amareshwar T.K. Singh United States Amareshwar T.K. Singh's profile →
Citations per field
00.5×1.5×2.2×
Amareshwar T.K. Singh · 1×
Citations per year

Countries citing papers authored by Bin Su

Since Specialization
Citations

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

Fields of papers citing papers by Bin Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bin Su, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bin Su Line = papers co-authored together Bin Su links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014156
2 200889
3 201682
4 201181
5 200877
6 201470
7 201058
8 201153
9
[Factors of avascular necrosis of femoral head and osteoporosis in SARS patients' convalescence].
200448
10 202045
11 200638
12 201536
13
Oleanolic acid suppresses the proliferation of human bladder cancer by Akt/mTOR/S6K and ERK1/2 signaling.
201536
14 200935
15 200533
16 200733
17 201032
18 201232
19 201231
20 202029

About Bin Su

Bin Su is a scholar working on Molecular Biology, Genetics, Organic Chemistry, Pharmacology and Oncology, having authored 99 papers that have together received 1.9k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (21 papers), Inflammatory mediators and NSAID effects (15 papers), Synthesis and biological activity (10 papers), Trypanosoma species research and implications (8 papers), Research on Leishmaniasis Studies (8 papers), Bioactive Compounds and Antitumor Agents (6 papers), Synthesis and Biological Evaluation (6 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Toxicology (100 citations), Pharmacology (314 citations), Cancer Research (218 citations), Organic Chemistry (362 citations) and Molecular Biology (866 citations). Bin Su has collaborated with scholars based in United States, China and Thailand. Frequent co-authors include Robert W. Brueggemeier, A. Douglas Kinghorn, Marcy J. Balunas, Shiuan Chen, Bo Zhong, Serena Landini, Edgar S. Díaz‐Cruz, Aimin Zhou, Shen Qu and Chunjun Sheng. Their work appears in journals such as Bioorganic & Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, The Journal of Steroid Biochemistry and Molecular Biology and Biomedical Chromatography.

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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