Jin Zeng

7.9k citations
180 papers · 6.1k indexed · 1 hit paper · h-index 42

Impact in

Papers in

Jin Zeng

171 papers receiving 6.0k citations

Hit Papers

Green Tea Epigallocatechin-3-Gallate (EGCG) Modulates Amyloid Precursor Protein Cleavage and Reduces Cerebral Amyloidosis in Alzheimer Transgenic Mice 2005 · 540 citations
5402005202620122019100200300400500

Peers

Jin Zeng
Comparison fields: 5 of 143
  • Biological Psychiatry 280
  • Neurology 702
  • Complementary and alternative medicine 332
  • Cancer Research 583
  • Physiology 1.0k
Replace Fei Yin with:
Fei Yin China
Won-Ki Kim South Korea
Irene Paterniti Italy
Feng Li China
Maria Antonietta Panaro Italy
Jiahong Lu China
Soo Young Choi South Korea
Seong Soo A. An South Korea
Hongzhuan Chen China
Claudio Bucolo Italy
Jin Zeng relative to Fei Yin China Fei Yin's profile →
Citations per field
00.5×1.5×
Fei Yin · 1×
Citations per year

Countries citing papers authored by Jin Zeng

Since Specialization
Citations

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

Fields of papers citing papers by Jin Zeng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20255
3 20251
4 20243
5 20242
6 202412
7 202313
8 202314
9 20233
10 20226
11 202211
12 202228
13 202211
14 201655
15 201524
16 201251
17 201163
18 201137
19 20117
20 2008123

About Jin Zeng

Jin Zeng is a scholar working on Neurology, Cancer Research, Oncology, Molecular Biology and Molecular Medicine, having authored 180 papers that have together received 6.1k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (21 papers), Ubiquitin and proteasome pathways (12 papers), Silymarin and Mushroom Poisoning (12 papers), Nanoparticle-Based Drug Delivery (11 papers), Bladder and Urothelial Cancer Treatments (11 papers), Alzheimer's disease research and treatments (10 papers), Berberine and alkaloids research (10 papers) and Wnt/β-catenin signaling in development and cancer (9 papers). The work is most often cited by research in Biological Psychiatry (280 citations), Neurology (702 citations), Complementary and alternative medicine (332 citations), Cancer Research (583 citations) and Physiology (1.0k citations). Jin Zeng has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Dalin He, Jared Ehrhart, Jun Tan, Jeremias H.R. Kägi, Nan Sun, Terrence Town, Kirk Townsend, Huayan Hou, Kaijie Wu and Kavon Rezai‐Zadeh. Their work appears in journals such as Oncology Reports, PLoS ONE, Cell Death and Disease, Chemico-Biological Interactions and The Journal of Urology.

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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