Wu Jy

1.3k citations
9 papers · 1.0k · h-index 6

Impact in

Papers in

    • Neuroscience and Neuropharmacology Research 3
    • Neuropeptides and Animal Physiology 2
    • Neuroscience and Neural Engineering 1
    • Neurobiology and Insect Physiology Research 1
    • Mitochondrial Function and Pathology 1

Wu Jy

9 papers receiving 981 citations

Peers

Wu Jy
Comparison fields: 5 of 76
  • Cellular and Molecular Neuroscience 887
  • Developmental Neuroscience 86
  • Cognitive Neuroscience 324
  • Physiology 280
  • Neurology 89
Replace Costantino Cozzari with:
Costantino Cozzari Italy
S. Seguin France
G.R. Penny United States
William M. Falls United States
Kenneth G. Baimbridge Canada
John H. Haring United States
Sheila A. Scoville United States
JY Wu United States
HC Moises United States
Howard K. Strahlendorf United States
Wu Jy relative to Costantino Cozzari Italy Costantino Cozzari's profile →
Citations per field
00.5×2.5×
Costantino Cozzari · 1×
Citations per year

Countries citing papers authored by Wu Jy

Since Specialization
Citations

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

Fields of papers citing papers by Wu Jy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Wu Jy, 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 Wu Jy Line = papers co-authored together Wu Jy links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 1981319
2 1983248
3 1983191
4 1983137
5 198984
6
Fast multisite optical measurement of membrane potential
199337
7
Neijing chronobiologic medical theories.
19823
8
GFAP immunohistochemical analysis of Alzheimer type II cells in Wilson's disease.
19881
9
Catamenial hemoptysis--report of a case.
19881

About Wu Jy

Wu Jy is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Ecology, Evolution, Behavior and Systematics, Surgery and Cognitive Neuroscience, having authored 9 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (3 papers), Neuropeptides and Animal Physiology (2 papers), Hypothalamic control of reproductive hormones (1 paper), Neurogenesis and neuroplasticity mechanisms (1 paper), Neuroscience and Neural Engineering (1 paper), Amino Acid Enzymes and Metabolism (1 paper), Mitochondrial Function and Pathology (1 paper) and Neurobiology and Insect Physiology Research (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (887 citations), Developmental Neuroscience (86 citations), Cognitive Neuroscience (324 citations), Physiology (280 citations) and Neurology (89 citations). Wu Jy has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Stephen P. Hunt, A. R. Lieberman, Peter T. Ohara, R. J. Miller, J.S. Kelly, J.R. Kimmel, P.C. Emson, A. David Smith, Alfredo Gorio and Péter Somogyi. Their work appears in journals such as Neuroscience, Journal of Neuroscience, PubMed and Medical Entomology and Zoology.

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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