Michael Wu

1.9k citations
32 papers · 1.6k · h-index 21

Impact in

Papers in

Michael Wu

32 papers receiving 1.6k citations

Peers

Michael Wu
Comparison fields: 5 of 80
  • Cellular and Molecular Neuroscience 1.2k
  • Cognitive Neuroscience 647
  • Endocrine and Autonomic Systems 209
  • Behavioral Neuroscience 103
  • Neurology 212
Replace Judith S. Brog with:
Judith S. Brog United States
Manjit K. Sanghera United States
Joan F. Lorden United States
Wendy L. Inglis United Kingdom
Michael S. Cousins United States
István Törk Australia
Virginia M. Pickel United States
P. W. Seviour United Kingdom
M.E. Olds United States
Bernard Cardo France
Michael Wu relative to Judith S. Brog United States Judith S. Brog's profile →
Citations per field
00.5×1.5×
Judith S. Brog · 1×
Citations per year

Countries citing papers authored by Michael Wu

Since Specialization
Citations

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

Fields of papers citing papers by Michael Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983349
2 1981181
3 1985143
4 197993
5 198785
6 199379
7 197978
8 198763
9 199552
10 198845
11 198843
12 199143
13 198039
14 198936
15 198834
16 198633
17 199332
18 199324
19 198224
20 198922

About Michael Wu

Michael Wu is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, Social Psychology and Neurology, having authored 32 papers that have together received 1.6k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (15 papers), Neurotransmitter Receptor Influence on Behavior (14 papers), Memory and Neural Mechanisms (6 papers), Neuroendocrine regulation and behavior (5 papers), Neurological disorders and treatments (5 papers), Zebrafish Biomedical Research Applications (5 papers), Adipose Tissue and Metabolism (3 papers) and Obsessive-Compulsive Spectrum Disorders (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.2k citations), Cognitive Neuroscience (647 citations), Endocrine and Autonomic Systems (209 citations), Behavioral Neuroscience (103 citations) and Neurology (212 citations). Michael Wu has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Gordon J. Mogenson, GJ Mogenson, Stefan M. Brudzyński, Douglas L. Jones, Larry W. Swanson, Ann Robertson, Masaharu Takigawa, Richard B. Simerly, L. W. Swanson and John Ciriello. Their work appears in journals such as Brain Research, Neuro-Oncology, Canadian Journal of Physiology and Pharmacology, Neuroreport and Frontiers in Immunology.

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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