Michael S. Yates

609 citations
27 papers · 457 · h-index 14

Impact in

  • Physiology top 5%
    • Adenosine and Purinergic Signaling
    • Nitric Oxide and Endothelin Effects
  • Nephrology top 10%
    • Acute Kidney Injury Research

Papers in

Michael S. Yates

27 papers receiving 443 citations

Peers

Michael S. Yates
Comparison fields: 5 of 97
  • Physiology 61
  • Nephrology 62
  • Rehabilitation 38
  • Pharmacology 33
  • Human-Computer Interaction 20
Replace Guillaume Hache with:
Guillaume Hache France
M. Fiege Germany
Jonathan E. Walker United States
Ralf Weißhorn Germany
Evelyn Ferri Italy
Paula Tavares Portugal
Donald Newgreen United Kingdom
Laura Ribeiro Portugal
T. Krause Germany
Masao Hiwatari Japan
Michael S. Yates relative to Guillaume Hache France Guillaume Hache's profile →
Citations per field
00.5×6.3×
Guillaume Hache · 1×
Citations per year

Countries citing papers authored by Michael S. Yates

Since Specialization
Citations

This map shows the geographic impact of Michael S. Yates'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. Yates 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. Yates more than expected).

Fields of papers citing papers by Michael S. Yates

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Michael S. Yates, 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. Yates Line = papers co-authored together Michael S. Yates links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201667
2 200143
3 199237
4 197936
5 200029
6 197925
7 200223
8 199121
9 198920
10 199418
11 200314
12 199914
13 198514
14 200013
15 200013
16 198313
17 198310
18 197910
19 19838
20 19847

About Michael S. Yates

Michael S. Yates is a scholar working on Molecular Biology, Physiology, Pathology and Forensic Medicine, Oncology and Public Health, Environmental and Occupational Health, having authored 27 papers that have together received 457 indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (5 papers), Drug Transport and Resistance Mechanisms (4 papers), Drug-Induced Hepatotoxicity and Protection (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Liver Disease and Transplantation (3 papers), Protein Interaction Studies and Fluorescence Analysis (3 papers), Pharmacological Effects and Toxicity Studies (3 papers) and Acute Kidney Injury Research (3 papers). The work is most often cited by research in Physiology (61 citations), Nephrology (62 citations), Rehabilitation (38 citations), Pharmacology (33 citations) and Human-Computer Interaction (20 citations). Michael S. Yates has collaborated with scholars based in United Kingdom, United States and Hungary. Frequent co-authors include C J Bowmer, Arpad Kelemen, Cecília Sik‐Lányi, H. Wilson, Mohammad Reza Panjehshahin, Jane Smith, Asipu Sivaprasadarao, Deborah Murdoch‐Eaton, Sameh K. Morcos and Quan Li. Their work appears in journals such as Biochemical Pharmacology, Journal of Pharmacy and Pharmacology, European Journal of Pharmacology, Clinical Science and ˜The œNephron journals/Nephron journals.

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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