Jun-Ke Wang

53 papers receiving 735 citations

Peers

Jun-Ke Wang
Comparison fields: 5 of 76
  • Developmental Neuroscience 107
  • Critical Care and Intensive Care Medicine 101
  • Anesthesiology and Pain Medicine 91
  • Surgery 320
  • Neurology 49
Replace Martin Schläpfer with:
Martin Schläpfer Switzerland
Ahrim Youn United States
Umeshkumar Athiraman United States
Hou‐Chuan Lai Taiwan
Yong Zuo China
Axel Moysich Germany
Masatoshi Yunoki Japan
Anthony Alberico United States
José M. Mier Spain
Jun-Ke Wang relative to Martin Schläpfer Switzerland Martin Schläpfer's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jun-Ke Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jun-Ke Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010141
2 1995133
3 202034
4 202430
5 201729
6
[Mechanism of the protective effects of noninvasive limbs preconditioning on myocardial ischemia-reperfusion injury].
200526
7 201626
8 201923
9 202021
10 201819
11 202017
12 201817
13 201916
14 202015
15 201815
16 201814
17 201913
18 202111
19 202410
20 20238

About Jun-Ke Wang

Jun-Ke Wang is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Oncology, Molecular Biology and Rheumatology, having authored 56 papers that have together received 750 indexed citations. Recurring topics across this work include Cholangiocarcinoma and Gallbladder Cancer Studies (21 papers), Inflammatory Biomarkers in Disease Prognosis (4 papers), Gallbladder and Bile Duct Disorders (4 papers), Renal and related cancers (2 papers), Land Use and Ecosystem Services (2 papers), Sperm and Testicular Function (2 papers), IgG4-Related and Inflammatory Diseases (2 papers) and Anesthesia and Sedative Agents (2 papers). The work is most often cited by research in Developmental Neuroscience (107 citations), Critical Care and Intensive Care Medicine (101 citations), Anesthesiology and Pain Medicine (91 citations), Surgery (320 citations) and Neurology (49 citations). Jun-Ke Wang has collaborated with scholars based in China, Nepal and United States. Frequent co-authors include Fu‐Yu Li, Hai‐Jie Hu, Wenjie Ma, Paul F. White, Ian Smith, Brian Fredman, Kevin W. Klein, Michael H. Nathanson, Qin Yang and Lingling Wang. Their work appears in journals such as Journal of Gastrointestinal Surgery, Medicine, International Journal of Surgery, Pediatric Surgery International and Oncotarget.

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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