Michael S. Yates

588 total citations
26 papers, 462 citations indexed

About

Michael S. Yates is a scholar working on Molecular Biology, Physiology and Pathology and Forensic Medicine. According to data from OpenAlex, Michael S. Yates has authored 26 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Physiology and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Michael S. Yates's work include Adenosine and Purinergic Signaling (5 papers), Drug Transport and Resistance Mechanisms (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). Michael S. Yates is often cited by papers focused on Adenosine and Purinergic Signaling (5 papers), Drug Transport and Resistance Mechanisms (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). Michael S. Yates collaborates with scholars based in United Kingdom, United States and Hungary. Michael S. Yates's co-authors include C J Bowmer, Arpad Kelemen, Cecília Sik‐Lányi, H. Wilson, Mohammad Reza Panjehshahin, Jane Smith, Asipu Sivaprasadarao, Deborah Murdoch‐Eaton, Quan Li and C. Robin Hiley and has published in prestigious journals such as Trends in Pharmacological Sciences, Anesthesiology and Biochemical Pharmacology.

In The Last Decade

Michael S. Yates

26 papers receiving 447 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Michael S. Yates United Kingdom	14	139	78	67	61	55	26	462
Guillaume Hache France	13	111 0.8×	48 0.6×	12 0.2×	73 1.2×	110 2.0×	29	506
Laura Ribeiro Portugal	15	137 1.0×	74 0.9×	14 0.2×	10 0.2×	112 2.0×	59	707
Xiaoyu Liu China	16	180 1.3×	47 0.6×	12 0.2×	7 0.1×	205 3.7×	47	584
Masakazu Ishii Japan	21	243 1.7×	38 0.5×	73 1.1×	15 0.2×	382 6.9×	64	1.1k
Marina Rossato Adami Italy	13	107 0.8×	19 0.2×	126 1.9×	5 0.1×	43 0.8×	26	545
Pınar Akan Türkiye	14	89 0.6×	12 0.2×	11 0.2×	41 0.7×	99 1.8×	37	501
M. Fiege Germany	14	489 3.5×	11 0.1×	20 0.3×	7 0.1×	104 1.9×	43	922
Linda L. Shanbour United States	16	243 1.7×	35 0.4×	16 0.2×	60 1.0×	139 2.5×	48	846
Martin Gajdoš Slovakia	16	72 0.5×	21 0.3×	4 0.1×	28 0.5×	74 1.3×	67	634

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-authorship network of co-authors of Michael S. Yates

This figure shows the co-authorship network connecting the top 25 collaborators of Michael S. Yates. A scholar is included among the top collaborators of Michael S. Yates based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael S. Yates. Michael S. Yates is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Yates, Michael S. & Sunjeev K. Kamboj. (2017). Alcohol related mental imagery: The effects of a priming dose in at risk drinkers. Addictive Behaviors Reports. 6. 71–75. 4 indexed citations

Kemp, Paul J., et al.. (2003). Chronic hypoxia up-regulates expression of adenosine A1 receptors in DDT1-MF2 cells. Biochemical Pharmacology. 67(3). 421–426. 14 indexed citations

Yates, Michael S., et al.. (2002). Alternative learning environments: what do they contribute to professional development of medical students?. Medical Teacher. 24(6). 609–615. 23 indexed citations

Smith, Jane, et al.. (2001). Immunolocalisation of adenosine A1 receptors in the rat kidney. Biochemical Pharmacology. 61(2). 237–244. 43 indexed citations

Smith, Jane, et al.. (2000). Differential expression of renal adenosine A1 receptors induced by acute renal failure. Biochemical Pharmacology. 59(6). 727–732. 13 indexed citations

Oldroyd, S., et al.. (2000). Effects of adenosine receptor antagonists on the responses to contrast media in the isolated rat kidney. Clinical Science. 98(3). 303–311. 29 indexed citations

Smith, Jane, et al.. (1999). Regulation of renal adenosine A1 receptors: effect of dietary sodium chloride. European Journal of Pharmacology. 384(1). 71–79. 14 indexed citations

Bowmer, C J, et al.. (1995). Renal Haemodynamic Responses to Adenosine in Acute Renal Failure. The Nephron journals/Nephron journals. 71(2). 184–189. 7 indexed citations

Li, Quan, C J Bowmer, & Michael S. Yates. (1994). Effect of arginine on cisplatin-induced acute renal failure in the rat. Biochemical Pharmacology. 47(12). 2298–2301. 18 indexed citations

10.

Panjehshahin, Mohammad Reza, Michael S. Yates, & C J Bowmer. (1992). A comparison of drug binding sites on mammalian albumins. Biochemical Pharmacology. 44(5). 873–879. 37 indexed citations

11.

Bowmer, C J, et al.. (1991). Effect of valproic acid, its unsaturated metabolites and some structurally related fatty acids on the binding of warfarin and dansylsarcosine to human albumin. Biochemical Pharmacology. 41(8). 1227–1233. 21 indexed citations

12.

Panjehshahin, Mohammad Reza, C J Bowmer, & Michael S. Yates. (1989). A pitfall in the use of double-reciprocal plots to estimate the intrinsic molar fluorescence of ligands bound to albumin. Biochemical Pharmacology. 38(1). 155–159. 19 indexed citations

13.

Bowmer, C J & Michael S. Yates. (1989). Therapeutic potential for new selective adenosine receptor ligand and metabolism inhibitors. Trends in Pharmacological Sciences. 10(9). 339–341. 6 indexed citations

14.

Yates, Michael S., et al.. (1983). Pharmacokinetics of indocyanine green in rats with chronic renal failure. Journal of Pharmacy and Pharmacology. 35(9). 593–594. 8 indexed citations

15.

Yates, Michael S., et al.. (1983). The plasma clearance of indocyanine green in rats with acute renal failure: Effect of dose and route of administration. Biochemical Pharmacology. 32(20). 3109–3114. 13 indexed citations

16.

Yates, Michael S., et al.. (1983). Hepatic clearance of indocyanine green during the course of glycerol-induced acute renal failure in the rat. Journal of Pharmacy and Pharmacology. 35(5). 335–338. 10 indexed citations

17.

Yates, Michael S., et al.. (1980). Alterations in Liver Blood Flow during Glycerol-Induced Acute Renal Failure in the Rat. The Nephron journals/Nephron journals. 26(5). 244–248. 17 indexed citations

18.

Yates, Michael S. & C. Robin Hiley. (1979). Distribution of cardiac output in different models of hypertension in the conscious rat. Pflügers Archiv - European Journal of Physiology. 379(2). 219–222. 10 indexed citations

19.

Wilson, H., et al.. (1979). The mechanism of the clonidine-induced reduction in peripheral parasympathetic submaxillary salivation. European Journal of Pharmacology. 56(4). 331–336. 25 indexed citations

20.

Yates, Michael S., et al.. (1972). The Effects of Benzquinamide and Prochlorperazine, Separately and Combined, on the Human Respiratory Center. Anesthesiology. 36(5). 519–520. 2 indexed citations

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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