Jian‐Sheng Kang

2.2k citations
28 papers · 1.6k indexed · 1 hit paper · h-index 12
Topics
Mitochondrial Function and Pathology (6 papers)Adipose Tissue and Metabolism (5 papers)Neuroscience and Neuropharmacology Research (4 papers)
Journals
CellJournal of NeuroscienceSHILAP Revista de lepidopterología

In The Last Decade

Jian‐Sheng Kang

24 papers receiving 1.6k citations

Hit Papers

History and progress of hypotheses and clinical trials fo...20192026202120232019100200300400500

Peers

Jian‐Sheng Kang
Comparison fields: 5 of 106
  • Molecular Biology 824
  • Cellular and Molecular Neuroscience 514
  • Physiology 462
  • Pharmacology 206
  • Neurology 179
Replace María Calvo-Rodríguez with:
María Calvo-Rodríguez Spain
Kerry Cormier United States
Ritchie Williamson United Kingdom
Nathalie Pierrot Belgium
Shichun Tu United States
Geraldine J. Kress United States
Jian–Zhi Wang China
Francesc X. Guix Spain
Anyang Sun China
Diana W. Shineman United States
Jian‐Sheng Kang relative to María Calvo-Rodríguez Spain María Calvo-Rodríguez's profile →
Citations per field
00.5×
María Calvo-Rodríguez · 1×
Citations per year

Countries citing papers authored by Jian‐Sheng Kang

Since Specialization
Citations

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

Fields of papers citing papers by Jian‐Sheng Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jian‐Sheng Kang. 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 Jian‐Sheng Kang. The network helps show where Jian‐Sheng Kang may publish in the future.

Co-authorship network of co-authors of Jian‐Sheng Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Jian‐Sheng Kang. A scholar is included among the top collaborators of Jian‐Sheng Kang 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 Jian‐Sheng Kang. Jian‐Sheng Kang 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
#WorkIndexed citations
1 1
2 0
3 0
4 0
5 12
6 1
7 6
8 6
9 2
10 53
11
History and progress of hypotheses and clinical trials for Alzheimer’s diseasebreakdown →
503
12 127
13 38
14 9
15 16
16 30
17 11
18 16
19 36
20 462

About Jian‐Sheng Kang

Jian‐Sheng Kang is a scholar working on Aging, Biological Psychiatry and Cellular and Molecular Neuroscience, having authored 28 papers that have together received 1.6k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (6 papers), Adipose Tissue and Metabolism (5 papers) and Neuroscience and Neuropharmacology Research (4 papers). The work is most often cited by research in Biological Psychiatry (80 citations), Cellular and Molecular Neuroscience (514 citations) and Neurology (179 citations). Jian‐Sheng Kang has collaborated with scholars based in China, United States and Austria. Frequent co-authors include Yi Xie, Peipei Liu, Xiao‐Yan Meng, Chu‐Xia Deng, Zu‐Hang Sheng, Cuiling Li, Ping‐Yue Pan, Guosong Liu, Tony Leung and Jonathan Murnick. Their work appears in journals such as Cell, Journal of Neuroscience and SHILAP Revista de lepidopterología.

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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