Bin Su

94 papers receiving 1.9k citations

Peers

Bin Su
Comparison fields: 5 of 113
  • Toxicology 93
  • Pharmacology 301
  • Cancer Research 182
  • Organic Chemistry 355
  • Molecular Biology 781
Replace Amareshwar T.K. Singh with:
Amareshwar T.K. Singh United States
Sadiq Umar India
Xia Li China
Beatrice E. Bachmeier Germany
Gaozhi Chen China
Xing Jin China
Monica Benvenuto Italy
Rajgopal Govindarajan United States
Eduard Sergienko United States
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 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014165
2 200893
3 201685
4 201182
5 200879
6 201472
7 201060
8 201153
9
[Factors of avascular necrosis of femoral head and osteoporosis in SARS patients' convalescence].
200448
10 202045
11 201538
12
Oleanolic acid suppresses the proliferation of human bladder cancer by Akt/mTOR/S6K and ERK1/2 signaling.
201538
13 200638
14 200536
15 201235
16 200935
17 201033
18 200733
19 201231
20 201731

About Bin Su

Bin Su is a scholar working on Molecular Biology, Genetics, Organic Chemistry, Pharmacology and Oncology, having authored 100 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 (9 papers), Research on Leishmaniasis Studies (7 papers), Bioactive Compounds and Antitumor Agents (6 papers), MicroRNA in disease regulation (5 papers) and Heat shock proteins research (5 papers). The work is most often cited by research in Toxicology (93 citations), Pharmacology (301 citations), Cancer Research (182 citations), Organic Chemistry (355 citations) and Molecular Biology (781 citations). Bin Su has collaborated with scholars based in United States, China and France. Frequent co-authors include Robert W. Brueggemeier, Marcy J. Balunas, A. Douglas Kinghorn, Bo Zhong, Shiuan Chen, Serena Landini, Edgar S. Díaz‐Cruz, Aimin Zhou, Shen Qu and Peng Yang. 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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