Jin Geng

4.4k total citations
99 papers, 3.4k citations indexed

About

Jin Geng is a scholar working on Organic Chemistry, Molecular Biology and Biomaterials. According to data from OpenAlex, Jin Geng has authored 99 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Organic Chemistry, 27 papers in Molecular Biology and 17 papers in Biomaterials. Recurrent topics in Jin Geng's work include Advanced Polymer Synthesis and Characterization (13 papers), Click Chemistry and Applications (12 papers) and Nanoparticle-Based Drug Delivery (9 papers). Jin Geng is often cited by papers focused on Advanced Polymer Synthesis and Characterization (13 papers), Click Chemistry and Applications (12 papers) and Nanoparticle-Based Drug Delivery (9 papers). Jin Geng collaborates with scholars based in China, United Kingdom and Egypt. Jin Geng's co-authors include Oren A. Scherman, David M. Haddleton, Giuseppe Mantovani, Yichuan Zhang, Roger J. Coulston, Chris Abell, Samuel T. Jones, Mark Bradley, Jing Zhang and Gaojian Chen and has published in prestigious journals such as Science, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

Jin Geng

88 papers receiving 3.4k citations

Peers

Jin Geng
Comparison fields: 5 of 152
  • Organic Chemistry 1.4k
  • Molecular Biology 1.0k
  • Biomaterials 715
  • Materials Chemistry 623
  • Biomedical Engineering 561
Replace Blake R. Peterson with:
Blake R. Peterson United States
Matthew P. Thompson United States
Giancarlo Morelli Italy
Yuko Tanaka Japan
Lynne J. Waddington Australia
Benjamin W. Muir Australia
Martin C. Garnett United Kingdom
Jianxin Zhang China
Deping Wang China
Hien Duong Australia
Blake R. Peterson United States View profile →
Citations per field, relative to Jin Geng
Jin Geng · 1×
Citations per year, relative to Jin Geng
Jin Geng · 1×

Countries citing papers authored by Jin Geng

Since Specialization
Citations

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

Fields of papers citing papers by Jin Geng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Geng

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Geng. A scholar is included among the top collaborators of Jin Geng 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 Jin Geng. Jin Geng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 6
3 1
4 1
5 0
6 0
7 15
8 0
9 17
10 11
11 27
12 5
13 4
14 253
15 132
16 104
17
Effects of puerarin on proliferation, apoptosis, migration and invasion of hormone-independent prostate cancer cells.
1
18 146
19 11
20 47

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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