Michael S. Wade

4.7k citations
62 papers · 3.2k indexed · h-index 29

Impact in

Papers in

Michael S. Wade

59 papers receiving 3.1k citations

Peers

Michael S. Wade
Comparison fields: 5 of 126
  • Virology 284
  • Pulmonary and Respiratory Medicine 918
  • Ophthalmology 226
  • Cardiology and Cardiovascular Medicine 542
  • Immunology 399
Replace Christoph Hess with:
Christoph Hess Switzerland
C A Hébert United States
Erika Assarsson Sweden
Angélique Biancotto United States
Raffaele De Palma Italy
Hidechika Okada Japan
Eric Wieder United States
Cornelis L. Verweij Netherlands
Jeffrey Siegel United States
C. P. J. Maury Finland
Michael S. Wade relative to Christoph Hess Switzerland Christoph Hess's profile →
Citations per field
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Citations per year

Countries citing papers authored by Michael S. Wade

Since Specialization
Citations

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

Fields of papers citing papers by Michael S. Wade

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 201421
3 201233
4 201278
5 201117
6 201147
7 201147
8 20092
9 20091
10 200957
11 200841
12 2007294
13 200685
14 200435
15 2004152
16 200343
17 200316
18 20027
19 1998354
20
Transcription from TATA-less promoters: dihydrofolate reductase as a model.
1993228

About Michael S. Wade

Michael S. Wade is a scholar working on Pulmonary and Respiratory Medicine, Internal Medicine, Cardiology and Cardiovascular Medicine, Genetics and Biological Psychiatry, having authored 62 papers that have together received 3.2k indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (15 papers), Heart Failure Treatment and Management (5 papers), Sphingolipid Metabolism and Signaling (4 papers), Virus-based gene therapy research (4 papers), Cardiac Arrhythmias and Treatments (4 papers), Erythrocyte Function and Pathophysiology (3 papers), Respiratory Support and Mechanisms (3 papers) and Cytomegalovirus and herpesvirus research (3 papers). The work is most often cited by research in Virology (284 citations), Pulmonary and Respiratory Medicine (918 citations), Ophthalmology (226 citations), Cardiology and Cardiovascular Medicine (542 citations) and Immunology (399 citations). Michael S. Wade has collaborated with scholars based in United States, Spain and Russia. Frequent co-authors include Jane Clifford Azizkhan, Carl Arneson, Andrew J. Pierce, Thomas L. Hunt, Joe G. N. Garcia, Roger Jeffs, Timothy F. Kowalik, Maria Mudryj, Shwu‐Fan Ma and Dennis D. Taub. Their work appears in journals such as CHEST Journal, PLoS ONE, The Journal of Clinical Pharmacology, Journal of Cardiovascular Pharmacology and Journal of Biological Chemistry.

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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