Jin Zhou

4.3k total citations · 2 hit papers
127 papers, 1.7k citations indexed

About

Jin Zhou is a scholar working on Genetics, Molecular Biology and Epidemiology. According to data from OpenAlex, Jin Zhou has authored 127 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Genetics, 21 papers in Molecular Biology and 16 papers in Epidemiology. Recurrent topics in Jin Zhou's work include Genetic Associations and Epidemiology (27 papers), Diabetes Management and Research (10 papers) and Genetic Mapping and Diversity in Plants and Animals (10 papers). Jin Zhou is often cited by papers focused on Genetic Associations and Epidemiology (27 papers), Diabetes Management and Research (10 papers) and Genetic Mapping and Diversity in Plants and Animals (10 papers). Jin Zhou collaborates with scholars based in United States, China and South Korea. Jin Zhou's co-authors include Hua Zhou, Peter D. Reaven, Gideon Bahn, Yann C. Klimentidis, Dawn C. Schwenke, Hongzhe Li, Michael P. Epstein, Michael C. Wu, Yehuda Ringel and Tamar Ringel‐Kulka and has published in prestigious journals such as Cell, Nature Communications and Bioinformatics.

In The Last Decade

Jin Zhou

118 papers receiving 1.7k citations

Hit Papers

Allogeneic CD33-directed CAR-NKT cells for the treatment ... 2025 2026 2025 2025 5 10 15 20

Peers

Jin Zhou
Comparison fields: 5 of 163
  • Molecular Biology 483
  • Genetics 326
  • Endocrinology, Diabetes and Metabolism 256
  • Epidemiology 237
  • Physiology 150
Replace Mingyue Li with:
Mingyue Li China
María Xosé Rodríguez‐Álvarez Spain
Patrick J. Ward United States
Lina Zhang China
Kwang‐Pil Ko South Korea
Lin Zhu China
Zhongshang Yuan China
Muhammad Yaqoob United Kingdom
Jin‐Bor Chen Taiwan
Mingyue Li China View profile →
Citations per field, relative to Jin Zhou
Jin Zhou · 1×
Citations per year, relative to Jin Zhou
Jin Zhou · 1×

Countries citing papers authored by Jin Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Jin Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Zhou. A scholar is included among the top collaborators of Jin Zhou 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 Zhou. Jin Zhou 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
Allogeneic CD33-directed CAR-NKT cells for the treatment of bone marrow-resident myeloid malignancies breakdown →
23
3 0
4 1
5 3
6 3
7 1
8 2
9 4
10 2
11 2
12 2
13 23
14 10
15 1
16 17
17 1
18 18
19 70
20 84

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026