Long‐Jun Wu

20.7k citations
214 papers · 13.5k · 2 hit papers · h-index 64

Impact in

Papers in

Long‐Jun Wu

205 papers receiving 13.4k citations

Long‐Jun Wu's Hit Papers

Dual Functions of Microglia in Ischemic Stroke 2019 · 435 citations
4350+5+10Years since publication100200300400

Peers

Long‐Jun Wu
Comparison fields: 5 of 146
  • Neurology 4.8k
  • Cellular and Molecular Neuroscience 4.6k
  • Developmental Neuroscience 929
  • Biological Psychiatry 553
  • Physiology 758
Replace Junichi Nabekura with:
Junichi Nabekura Japan
Brian A. MacVicar Canada
Mike Dragunow New Zealand
Michael W. Salter Canada
Vladimir Parpura United States
Annamaria Vezzani Italy
Frank R. Sharp United States
Stephen D. Skaper Italy
Carlos Matute Spain
Raymond A. Swanson United States
Long‐Jun Wu relative to Junichi Nabekura Japan Junichi Nabekura's profile →
Citations per field
00.5×2.8×
Junichi Nabekura · 1×
Citations per year

Countries citing papers authored by Long‐Jun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Long‐Jun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Long‐Jun Wu. 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 Long‐Jun Wu. The network helps show where Long‐Jun Wu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 214 papers — load more, or switch the sort, to bring in the rest.

#Work
1
International Union of Basic and Clinical Pharmacology. LXXVI. Current Progress in the Mammalian TRP Ion Channel Family
Hit paper breakdown →
2010463
2
Dual Functions of Microglia in Ischemic Stroke
Hit paper breakdown →
2019435
3 2005424
4 2014366
5 2008311
6 2016306
7 2017289
8 2010281
9 2019264
10 2005241
11 2016239
12 2016223
13 2011214
14 2005207
15 2012205
16 2011200
17 2016191
18 2019182
19 2006173
20 2013169

About Long‐Jun Wu

Long‐Jun Wu is a scholar working on Neurology, Cellular and Molecular Neuroscience, Physiology, Molecular Biology and Immunology, having authored 214 papers that have together received 13.5k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (91 papers), Neuroscience and Neuropharmacology Research (69 papers), Pain Mechanisms and Treatments (40 papers), Memory and Neural Mechanisms (20 papers), Adenosine and Purinergic Signaling (18 papers), Neurogenesis and neuroplasticity mechanisms (16 papers), Ion channel regulation and function (14 papers) and Immune cells in cancer (14 papers). The work is most often cited by research in Neurology (4.8k citations), Cellular and Molecular Neuroscience (4.6k citations), Developmental Neuroscience (929 citations), Biological Psychiatry (553 citations) and Physiology (758 citations). Long‐Jun Wu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Min Zhuo, Ukpong B. Eyo, Madhuvika Murugan, Ming Zhao, Dai‐Shi Tian, Hiroki Toyoda, Dale B. Bosco, David E. Clapham, Anthony D. Umpierre and Shanelle W. Ko. Their work appears in journals such as Journal of Neuroscience, Molecular Brain, Molecular Pain, Brain Behavior and Immunity and Cell Reports.

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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