Jin Cheng

940 total citations
30 papers, 637 citations indexed

About

Jin Cheng is a scholar working on Molecular Biology, Surgery and Animal Science and Zoology. According to data from OpenAlex, Jin Cheng has authored 30 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Surgery and 5 papers in Animal Science and Zoology. Recurrent topics in Jin Cheng's work include Animal Nutrition and Physiology (5 papers), Peroxisome Proliferator-Activated Receptors (3 papers) and Hydrogen's biological and therapeutic effects (3 papers). Jin Cheng is often cited by papers focused on Animal Nutrition and Physiology (5 papers), Peroxisome Proliferator-Activated Receptors (3 papers) and Hydrogen's biological and therapeutic effects (3 papers). Jin Cheng collaborates with scholars based in China, United States and Germany. Jin Cheng's co-authors include Hassan Hussein Musa, Jianguo Chen, Fang Wang, Stephanie R. Wilson, Danfang Yu, Pengfei Wu, E. S. Chang, Wenbin Bao, Christoph Wiegreffe and Michael Strehle and has published in prestigious journals such as Neuron, Cerebral Cortex and European Journal of Pharmacology.

In The Last Decade

Jin Cheng

24 papers receiving 589 citations

Peers

Jin Cheng
Comparison fields: 5 of 105
  • Molecular Biology 205
  • Animal Science and Zoology 143
  • Physiology 91
  • Plant Science 84
  • Genetics 66
Replace R.P. Moudgal with:
R.P. Moudgal India
Yongcheng Jin China
Katrin Giller Switzerland
Simona Spada Italy
Gwenola Le Dréan France
Jingru Guo China
Jianmin Hu China
Zhirong Jiang United States
Huanmin Yang China
R.P. Moudgal India View profile →
Citations per field, relative to Jin Cheng
Jin Cheng · 1×
Citations per year, relative to Jin Cheng
Jin Cheng · 1×

Countries citing papers authored by Jin Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Jin Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Cheng. A scholar is included among the top collaborators of Jin Cheng 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 Cheng. Jin Cheng 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 0
3 16
4 0
5 9
6 4
7 23
8 18
9 8
10 81
11 39
12
Quality Assessment of Fructus Corni from Different Origins
1
13
Relation between Abdominal Fat and Serum Cholesterol, Triglycerides, and Lipoprotein Concentrations in Chicken Breeds
41
14 3
15 1
16 3
17 13
18 45
19 20
20 56

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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