Wenjun Jin

696 citations
22 papers · 335 · h-index 8

Impact in

Papers in

Wenjun Jin

19 papers receiving 324 citations

Peers

Wenjun Jin
Comparison fields: 5 of 81
  • Cognitive Neuroscience 155
  • Cellular and Molecular Neuroscience 146
  • Cancer Research 52
  • Developmental Neuroscience 13
  • Neurology 21
Replace Margaret H. Hastings with:
Margaret H. Hastings United States
Fen Huang China
Dawei Meng China
Kathrin L. Engisch United States
Xinyi Zhao China
Karin Nunley United States
Guilherme Shigueto Vilar Higa Brazil
Anna Simon Germany
Minerva Contreras United States
Yeting He Japan
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Citations per field
00.5×1.5×1.9×
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Citations per year

Countries citing papers authored by Wenjun Jin

Since Specialization
Citations

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

Fields of papers citing papers by Wenjun Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200583
2 200267
3 201443
4 201830
5 201424
6 201720
7 201918
8 201813
9 20236
10 20206
11
[Efficacy observation on acupoint catgut embedding therapy combined medication for treatment of chronic urticaria induced by Helicobacter pylori infection].
20105
12 20134
13 20194
14 20123
15 20203
16
[Pregnant women hepatitis B markers investigation and analysis of intrauterine infection].
20092
17 20232
18 20221
19 20121
20 20240

About Wenjun Jin

Wenjun Jin is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Pharmacology, Physiology and Surgery, having authored 22 papers that have together received 335 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (5 papers), Neural dynamics and brain function (5 papers), Healthcare and Venom Research (3 papers), Memory and Neural Mechanisms (3 papers), Acupuncture Treatment Research Studies (2 papers), Pain Mechanisms and Treatments (2 papers), Sleep and Wakefulness Research (2 papers) and Photoreceptor and optogenetics research (2 papers). The work is most often cited by research in Cognitive Neuroscience (155 citations), Cellular and Molecular Neuroscience (146 citations), Cancer Research (52 citations), Developmental Neuroscience (13 citations) and Neurology (21 citations). Wenjun Jin has collaborated with scholars based in China and United States. Frequent co-authors include Renji Zhang, Jian‐Young Wu, Longnian Lin, Joe Z. Tsien, Remus Oşan, Shy Shoham, Peiwei Li, Jinming Xu, Donghua Gu and Han Qin. Their work appears in journals such as Medicine, Advances in experimental medicine and biology, Biomedical Optics Express, Neurophotonics and BMC Anesthesiology.

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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