Tan Ren

938 citations
33 papers · 827 · h-index 18

Impact in

    • Microbial Natural Products and Biosynthesis
    • Fungal Biology and Applications
    • Marine Sponges and Natural Products

Papers in

    • Microbial Natural Products and Biosynthesis 7
    • Fungal Biology and Applications 6
    • Synthetic Organic Chemistry Methods 3
    • Chemical synthesis and alkaloids 3

Tan Ren

33 papers receiving 796 citations

Peers

Tan Ren
Comparison fields: 5 of 87
  • Pharmacology 176
  • Biotechnology 68
  • Organic Chemistry 195
  • Pharmaceutical Science 39
  • Molecular Biology 440
Replace Daigo Inoyama with:
Daigo Inoyama United States
Jiří Pospíšil Czechia
Constantinos M. Athanassopoulos Greece
Bernard Chantegrel France
Ravi Shankar Lankalapalli India
Steven L. Roach United States
Marta Teijeira Spain
Giovanni Grazioso Italy
Dmitry S. Baev Russia
Chantal Finance France
Tan Ren relative to Daigo Inoyama United States Daigo Inoyama's profile →
Citations per field
00.5×1.5×2.1×
Daigo Inoyama · 1×
Citations per year

Countries citing papers authored by Tan Ren

Since Specialization
Citations

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

Fields of papers citing papers by Tan Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200092
2 200381
3 199942
4 201041
5 201335
6 199734
7 199934
8 199432
9 201430
10 200129
11 200028
12 201027
13 199925
14 199924
15 199321
16 201820
17 201119
18 201118
19 201418
20 199918

About Tan Ren

Tan Ren is a scholar working on Pharmacology, Organic Chemistry, Biotechnology, Molecular Biology and Cell Biology, having authored 33 papers that have together received 827 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (8 papers), Microbial Natural Products and Biosynthesis (7 papers), Fungal Biology and Applications (6 papers), Advanced biosensing and bioanalysis techniques (6 papers), Virus-based gene therapy research (4 papers), Plant Pathogens and Fungal Diseases (4 papers), Synthetic Organic Chemistry Methods (3 papers) and Chemical synthesis and alkaloids (3 papers). The work is most often cited by research in Pharmacology (176 citations), Biotechnology (68 citations), Organic Chemistry (195 citations), Pharmaceutical Science (39 citations) and Molecular Biology (440 citations). Tan Ren has collaborated with scholars based in China, United States and Malaysia. Frequent co-authors include Dexi Liu, Guisheng Zhang, Hui Ming Ge, Xiang Gao, Hai Tang, Jun Hu, Li Yang, Zhi Kai Guo, Qing‐Xiang Guo and You‐Cheng Liu. Their work appears in journals such as Planta Medica, Tetrahedron Letters, Bulletin of the Chemical Society of Japan, Bioorganic & Medicinal Chemistry Letters and Chinese Journal of Chemistry.

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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