Jeffrey Wu

519 citations
10 papers · 331 indexed · h-index 5

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer Genomics and Diagnostics
  • Physiology top 10%
    • Adenosine and Purinergic Signaling

Papers in

Jeffrey Wu

9 papers receiving 325 citations

Peers

Jeffrey Wu
Comparison fields: 5 of 58
  • Cancer Research 129
  • Physiology 27
  • Endocrinology 30
  • Gastroenterology 21
  • Pulmonary and Respiratory Medicine 97
Replace Yan Xue with:
Yan Xue China
Jinsu Kim South Korea
Balawant Kumar United States
Glen P. Marszalowicz United States
Archana Sareen United States
Anthony D. D’Souza United States
Katharina Leucht Germany
Ethan Ahler United States
Elisabeth Limbeck Germany
Jeffrey Wu relative to Yan Xue China Yan Xue's profile →
Citations per field
00.5×10×15×
Yan Xue · 1×
Citations per year

Countries citing papers authored by Jeffrey Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

10 of 10 papers shown
#Work
1 20241
2 20241
3 20232
4 20230
5 20235
6 20201
7 201328
8 2012151
9 200833
10 1997109

About Jeffrey Wu

Jeffrey Wu is a scholar working on Physiology, Rehabilitation, Biochemistry, Psychiatry and Mental health and Neurology, having authored 10 papers that have together received 331 indexed citations. Recurring topics across this work include Bone fractures and treatments (2 papers), Cancer, Stress, Anesthesia, and Immune Response (2 papers), Glycosylation and Glycoproteins Research (1 paper), Shoulder Injury and Treatment (1 paper), Adenosine and Purinergic Signaling (1 paper), Spine and Intervertebral Disc Pathology (1 paper), Vagus Nerve Stimulation Research (1 paper) and Renal cell carcinoma treatment (1 paper). The work is most often cited by research in Cancer Research (129 citations), Physiology (27 citations), Endocrinology (30 citations), Gastroenterology (21 citations) and Pulmonary and Respiratory Medicine (97 citations). Jeffrey Wu has collaborated with scholars based in United States, Taiwan and Japan. Frequent co-authors include Ralph A. Giannella, Elizabeth A. Mann, Robert A. Figlin, Rebecca A. Nelson, Hanlin Gao, Lawrence M. Weiss, Bing Mu, Susan Onami, Yuping Li and Sumanta K. Pal. Their work appears in journals such as Journal of Clinical Medicine, Journal of Biological Chemistry, American Journal of Physiology-Heart and Circulatory Physiology, American Journal of Clinical Pathology and Biochemical and Biophysical Research Communications.

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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