William Reed

2.0k citations
65 papers · 1.7k · h-index 23

Impact in

Papers in

William Reed

63 papers receiving 1.6k citations

Peers

William Reed
Comparison fields: 5 of 111
  • Immunology 508
  • Health, Toxicology and Mutagenesis 194
  • Immunology and Allergy 66
  • Reproductive Medicine 88
  • Pulmonary and Respiratory Medicine 320
Replace Wei Yan with:
Wei Yan China
D. Evain‐Brion France
Martin Gauster Austria
Monique Talbot France
Fiona Lyall United Kingdom
Isabelle Guénon France
Marta Saura Spain
Adrian Watson United Kingdom
E Seifter United States
C. Lynne Burek United States
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Citations per field
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Citations per year

Countries citing papers authored by William Reed

Since Specialization
Citations

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

Fields of papers citing papers by William Reed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005186
2 2003118
3 1997109
4 2005103
5 1995100
6 199287
7 199770
8 200656
9 196455
10 199953
11 200051
12 200250
13 200448
14 199142
15 197337
16 199635
17 196434
18 197231
19 199830
20 199830

About William Reed

William Reed is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Epidemiology and Immunology, having authored 65 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (12 papers), Congenital Heart Disease Studies (8 papers), Cardiac Structural Anomalies and Repair (6 papers), Reproductive Biology and Fertility (6 papers), Infective Endocarditis Diagnosis and Management (5 papers), Vascular anomalies and interventions (5 papers), Immune Response and Inflammation (4 papers) and NF-κB Signaling Pathways (4 papers). The work is most often cited by research in Immunology (508 citations), Health, Toxicology and Mutagenesis (194 citations), Immunology and Allergy (66 citations), Reproductive Medicine (88 citations) and Pulmonary and Respiratory Medicine (320 citations). William Reed has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include James M. Samet, Kenneth L. White, Terry L. Noah, Marvin Dunn, Philip A. Bromberg, Thomas D. Bunch, Ilona Jaspers, Caiping Yue, Ivan K. Crosby and Frederick W. Henderson. Their work appears in journals such as Journal of Thoracic and Cardiovascular Surgery, American Journal of Physiology-Lung Cellular and Molecular Physiology, Circulation, The American Journal of Surgery and Theriogenology.

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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