Ke Cheng

113 papers receiving 2.8k citations

Peers

Ke Cheng
Comparison fields: 5 of 144
  • Biological Psychiatry 339
  • Complementary and alternative medicine 538
  • Behavioral Neuroscience 176
  • Transplantation 101
  • Gastroenterology 161
Replace Joo‐Ho Chung with:
Joo‐Ho Chung South Korea
Mariana Lima Vale Brazil
Zhigang Li China
Ricardo de Lima Zollner Brazil
Sergio Lecchini Italy
Yanfei Qi China
K Nieber Germany
Xiaojun Wu China
Ke Cheng relative to Joo‐Ho Chung South Korea Joo‐Ho Chung's profile →
Citations per field
00.5×5×10.7×
Joo‐Ho Chung · 1×
Citations per year

Countries citing papers authored by Ke Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Ke Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 120 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010250
2 2008248
3 2012191
4 2012127
5 2013115
6 201298
7 201388
8 201472
9 201370
10 201264
11 201758
12 201854
13 201954
14 201451
15 202251
16 201648
17 201947
18
Mechanism of electroacupuncture on inflammatory pain: neural-immune-endocrine interactions.
201945
19 201945
20 201142

About Ke Cheng

Ke Cheng is a scholar working on Complementary and alternative medicine, Biological Psychiatry, Transplantation, Pharmacology and Behavioral Neuroscience, having authored 120 papers that have together received 2.8k indexed citations. Recurring topics across this work include Acupuncture Treatment Research Studies (15 papers), Tryptophan and brain disorders (11 papers), Renal Transplantation Outcomes and Treatments (8 papers), Healthcare and Venom Research (8 papers), Laser Applications in Dentistry and Medicine (8 papers), Stress Responses and Cortisol (7 papers), Cancer-related molecular mechanisms research (5 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). The work is most often cited by research in Biological Psychiatry (339 citations), Complementary and alternative medicine (538 citations), Behavioral Neuroscience (176 citations), Transplantation (101 citations) and Gastroenterology (161 citations). Ke Cheng has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Lixing Lao, Eric W. Manheimer, Brian Berman, Lisa Susan Wieland, Xueyong Shen, Xueyong Shen, Lex Bouter, Daniëlle AWM van der Windt, Peng Xie and Klaus Linde. Their work appears in journals such as Behavioural Brain Research, Cochrane Database of Systematic Reviews, Biochemical and Biophysical Research Communications, Lasers in Medical Science and Evidence-based Complementary and Alternative Medicine.

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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