Jing Gan

2.0k citations
145 papers · 1.4k · h-index 22

Impact in

Papers in

    • Parkinson's Disease Mechanisms and Treatments 28
    • Neurological disorders and treatments 10
    • RNA modifications and cancer 4

Jing Gan

131 papers receiving 1.4k citations

Peers

Jing Gan
Comparison fields: 5 of 135
  • Neurology 302
  • Cellular and Molecular Neuroscience 204
  • Neurology 74
  • Psychiatry and Mental health 116
  • Biological Psychiatry 19
Replace Gregory Constantine with:
Gregory Constantine United States
Wei Luo China
Szu‐Fu Chen Taiwan
Osorio Meirelles United States
Ting Gao China
Shengdi Chen China
Huimin Chen China
Kezhong Zhang China
Einor Ben Assayag Israel
Jing Gan relative to Gregory Constantine United States Gregory Constantine's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jing Gan

Since Specialization
Citations

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

Fields of papers citing papers by Jing Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 145 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017109
2 201559
3 201354
4 201546
5 201939
6 201638
7 201936
8 201534
9 200729
10 201429
11 201929
12 202429
13 201428
14 201126
15 201426
16 201725
17 202225
18 201825
19 201825
20 202224

About Jing Gan

Jing Gan is a scholar working on Neurology, Molecular Biology, Cellular and Molecular Neuroscience, Physiology and Epidemiology, having authored 145 papers that have together received 1.4k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (28 papers), Neurological disorders and treatments (10 papers), Neuroscience and Neuropharmacology Research (7 papers), Epilepsy research and treatment (7 papers), Genomics and Rare Diseases (6 papers), Diet and metabolism studies (6 papers), MicroRNA in disease regulation (4 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Neurology (302 citations), Cellular and Molecular Neuroscience (204 citations), Neurology (74 citations), Psychiatry and Mental health (116 citations) and Biological Psychiatry (19 citations). Jing Gan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhenguo Liu, Dezhi Mu, Qianyun Cai, Rong Luo, Yi Qu, Ying Wan, Lu Song, Fengyan Zhao, Chenglong Xie and Na Wu. Their work appears in journals such as Scientific Reports, Frontiers in Aging Neuroscience, BMC Neurology, Frontiers in Neurology and Frontiers in Pediatrics.

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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