W.C. Wu

13 papers receiving 888 citations

W.C. Wu's Hit Papers

Blood Transfusion in Elderly Patients with Acute Myocardial Infarction 2001 · 645 citations
6450+8+16Years since publication200400600

Peers

W.C. Wu
Comparison fields: 5 of 82
  • Biochemistry 282
  • Critical Care and Intensive Care Medicine 106
  • Hematology 223
  • Endocrine and Autonomic Systems 69
  • Internal Medicine 31
Replace Nicole Hergovich with:
Nicole Hergovich Austria
Petra Hobisch‐Hagen Austria
Imo Aisiku United States
Rongrong Bian China
Stefan‐Mario Kasper Germany
Michael Jacobs Netherlands
Jan Hillman Sweden
Jurgen W. G. E. VanTeeffelen Netherlands
Frank Grüne Germany
Alexander Y. Zubkov United States
W.C. Wu relative to Nicole Hergovich Austria Nicole Hergovich's profile →
Citations per field
00.5×7.6×
Nicole Hergovich · 1×
Citations per year

Countries citing papers authored by W.C. Wu

Since Specialization
Citations

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

Fields of papers citing papers by W.C. Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside W.C. 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 W.C. Wu Line = papers co-authored together W.C. Wu links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1
Blood Transfusion in Elderly Patients with Acute Myocardial Infarction
Hit paper breakdown →
2001645
2 2011136
3 200233
4 200830
5 200128
6 201024
7 19979
8 19979
9 19978
10 19907
11 19967
12 19925
13 19942

About W.C. Wu

W.C. Wu is a scholar working on Endocrine and Autonomic Systems, Physiology, Social Psychology, Pathology and Forensic Medicine and Cardiology and Cardiovascular Medicine, having authored 13 papers that have together received 943 indexed citations. Recurring topics across this work include Neuroscience of respiration and sleep (9 papers), Neuroendocrine regulation and behavior (4 papers), Nitric Oxide and Endothelin Effects (3 papers), Spinal Cord Injury Research (3 papers), Pain Mechanisms and Treatments (3 papers), Inflammatory Biomarkers in Disease Prognosis (1 paper), Human-Animal Interaction Studies (1 paper) and Renin-Angiotensin System Studies (1 paper). The work is most often cited by research in Biochemistry (282 citations), Critical Care and Intensive Care Medicine (106 citations), Hematology (223 citations), Endocrine and Autonomic Systems (69 citations) and Internal Medicine (31 citations). W.C. Wu has collaborated with scholars based in Taiwan, United States and Singapore. Frequent co-authors include Martha J. Radford, Harlan M. Krumholz, Saif S. Rathore, Tracey H. Taveira, Hilary B. Whitlatch, Robert J. Smith, Noemi Malandrino, C.Y. Chai, Matthew Jankowich and Chun‐Kuei Su. Their work appears in journals such as American Journal of Hypertension, Neuroscience, Diabetologia, British Journal of Pharmacology and New England Journal of Medicine.

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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