Xiaoming Jin

3.1k citations
83 papers · 2.2k · h-index 26

Impact in

Papers in

Xiaoming Jin

80 papers receiving 2.1k citations

Peers

Xiaoming Jin
Comparison fields: 5 of 115
  • Developmental Neuroscience 203
  • Cellular and Molecular Neuroscience 879
  • Neurology 317
  • Biological Psychiatry 75
  • Gastroenterology 112
Replace Masahisa Yamada with:
Masahisa Yamada United States
Antonio Paparelli Italy
Aideen M. Sullivan Ireland
Ricardo Martínez‐Murillo Spain
Yong Ho Kim South Korea
Anna Maria Pugliese Italy
Ariel R. Ase Canada
Giovanni Cirillo Italy
Juana María Sanz Italy
Christopher H. Hawkes United Kingdom
Xiaoming Jin relative to Masahisa Yamada United States Masahisa Yamada's profile →
Citations per field
00.5×3.3×
Masahisa Yamada · 1×
Citations per year

Countries citing papers authored by Xiaoming Jin

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoming Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010297
2 2003120
3 2005108
4 2009106
5 2006106
6 202174
7 202169
8 202268
9 200763
10 201858
11 201256
12 201956
13 201453
14 201653
15 201646
16 202242
17 201742
18 201041
19 201738
20 202138

About Xiaoming Jin

Xiaoming Jin is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience, Psychiatry and Mental health and Complementary and alternative medicine, having authored 83 papers that have together received 2.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (34 papers), Epilepsy research and treatment (10 papers), Photoreceptor and optogenetics research (10 papers), Ion channel regulation and function (8 papers), Acupuncture Treatment Research Studies (7 papers), Pain Mechanisms and Treatments (7 papers), Traumatic Brain Injury and Neurovascular Disturbances (6 papers) and Neuroscience and Neural Engineering (6 papers). The work is most often cited by research in Developmental Neuroscience (203 citations), Cellular and Molecular Neuroscience (879 citations), Neurology (317 citations), Biological Psychiatry (75 citations) and Gastroenterology (112 citations). Xiaoming Jin has collaborated with scholars based in United States, China and Slovenia. Frequent co-authors include David A. Prince, John R. Huguenard, Isabel Parada, Xingjie Ping, Ben A. Barres, Beth Stevens, Yunxiang Chu, Huangan Wu, Ariel Agmon and Peter H. Mathers. Their work appears in journals such as Journal of Neurotrauma, PLoS ONE, Epilepsia, World Journal of Gastroenterology and Journal of Pharmacology and Experimental Therapeutics.

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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