Jin Su

500 citations
28 papers · 399 · h-index 12

Impact in

    • Tryptophan and brain disorders
  • Pharmacology top 10%
    • Pharmacological Effects of Natural Compounds
    • Berberine and alkaloids research
    • Plant-based Medicinal Research

Papers in

Jin Su

27 papers receiving 396 citations

Peers

Jin Su
Comparison fields: 5 of 85
  • Biological Psychiatry 46
  • Pharmacology 64
  • Behavioral Neuroscience 24
  • Complementary and alternative medicine 55
  • Pharmacology 47
Replace Anoop Kishore with:
Anoop Kishore India
Caner Günaydın Türkiye
Jianhui Rong Hong Kong
En Hu China
Zhen Tan China
Xingui Xiong China
Zhengxiao Zhao China
Rosaria Salvatore Italy
Xiaoli Hou China
Jin Su relative to Anoop Kishore India Anoop Kishore's profile →
Citations per field
00.5×1.7×
Anoop Kishore · 1×
Citations per year

Countries citing papers authored by Jin Su

Since Specialization
Citations

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

Fields of papers citing papers by Jin Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jin 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 Jin Su Line = papers co-authored together Jin Su links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202184
2 201838
3 202033
4 202325
5 202125
6 202023
7 201921
8 201821
9 201721
10 202318
11 201918
12 199016
13
Effect of nano yam polysaccharide on the blood glucose and blood lipid in rats.
202011
14
Possibility of targeting treatment for ischemic heart disease with liposome (I).
19939
15 20226
16 20185
17 20225
18 20184
19 20243
20 20183

About Jin Su

Jin Su is a scholar working on Molecular Biology, Complementary and alternative medicine, Pharmacology, Radiology, Nuclear Medicine and Imaging and Physiology, having authored 28 papers that have together received 399 indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Traditional Chinese Medicine Studies (3 papers), Medicinal Plant Pharmacodynamics Research (3 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Natural product bioactivities and synthesis (2 papers), Autism Spectrum Disorder Research (2 papers) and Rheumatoid Arthritis Research and Therapies (2 papers). The work is most often cited by research in Biological Psychiatry (46 citations), Pharmacology (64 citations), Behavioral Neuroscience (24 citations), Complementary and alternative medicine (55 citations) and Pharmacology (47 citations). Jin Su has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Hongjun Yang, Haiyu Xu, Qianqian Cao, Yueyue Chen, Wei Yao, Qi Qi, Kenji Hashimoto, Zhentao Zhang, Ji‐chun Zhang and Jiaxu Chen. Their work appears in journals such as Phytomedicine, Frontiers in Pharmacology, International Journal of STD & AIDS, Acta Pharmaceutica Sinica B and Journal of Pharmacology and Experimental Therapeutics.

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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