Jing Zhou

2.1k total citations
94 papers, 1.6k citations indexed

About

Jing Zhou is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Jing Zhou has authored 94 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Molecular Biology, 20 papers in Cancer Research and 16 papers in Surgery. Recurrent topics in Jing Zhou's work include Epigenetics and DNA Methylation (35 papers), Cancer-related gene regulation (24 papers) and RNA modifications and cancer (22 papers). Jing Zhou is often cited by papers focused on Epigenetics and DNA Methylation (35 papers), Cancer-related gene regulation (24 papers) and RNA modifications and cancer (22 papers). Jing Zhou collaborates with scholars based in China, United States and Ethiopia. Jing Zhou's co-authors include Dajun Deng, Liankun Gu, Zhaojun Liu, Jiafu Ji, Yonghong Zhu, Dongsheng He, Haijun Wang, Baozhen Zhang, Wei‐Cheng You and Hua Bai and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Jing Zhou

88 papers receiving 1.5k citations

Peers

Jing Zhou
Comparison fields: 5 of 99
  • Molecular Biology 964
  • Cancer Research 450
  • Surgery 239
  • Oncology 216
  • Endocrinology, Diabetes and Metabolism 160
Replace Olivier Borel with:
Olivier Borel France
Rongyao Xu China
Nisreen Akel United States
Laura Ravanti Finland
Aditi Mukherjee United States
Nagako Akeno United States
Jesús Álvarez Spain
Gianna Galli Italy
Adrianos Nezos Greece
Katherine Staines United Kingdom
Olivier Borel France View profile →
Citations per field, relative to Jing Zhou
Jing Zhou · 1×
Citations per year, relative to Jing Zhou
Jing Zhou · 1×

Countries citing papers authored by Jing Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Jing Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Zhou. A scholar is included among the top collaborators of Jing 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 Jing Zhou. Jing 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 0
2 2
3 0
4 11
5 2
6 1
7 24
8 8
9 18
10 14
11 24
12 18
13 69
14 28
15 33
16 78
17 32
18 2
19
Expression of 5-HT_(2,4,5) receptor subtype mRNAs in rat spinal dorsal and ventral horns of different segments
1
20 14

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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