Peter H Baylis

1.3k total citations
27 papers, 945 citations indexed

About

Peter H Baylis is a scholar working on Pulmonary and Respiratory Medicine, Social Psychology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Peter H Baylis has authored 27 papers receiving a total of 945 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Pulmonary and Respiratory Medicine, 14 papers in Social Psychology and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Peter H Baylis's work include Electrolyte and hormonal disorders (22 papers), Neuroendocrine regulation and behavior (14 papers) and Ion Transport and Channel Regulation (5 papers). Peter H Baylis is often cited by papers focused on Electrolyte and hormonal disorders (22 papers), Neuroendocrine regulation and behavior (14 papers) and Ion Transport and Channel Regulation (5 papers). Peter H Baylis collaborates with scholars based in United Kingdom, United States and Denmark. Peter H Baylis's co-authors include Christopher J. Thompson, Robert L. Zerbe, John M. Davison, Gary L. Robertson, Paul Moran, Marshall D. Lindheimer, Christina Faull, Catherine Holmes, Steven Thornton and Tim Cheetham and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Endocrinology and Kidney International.

In The Last Decade

Peter H Baylis

27 papers receiving 898 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter H Baylis United Kingdom 15 512 237 182 155 150 27 945
M. D. Lindheimer United States 23 505 1.0× 225 0.9× 231 1.3× 225 1.5× 162 1.1× 46 1.5k
P. H. Baylis United Kingdom 26 845 1.7× 452 1.9× 445 2.4× 399 2.6× 161 1.1× 88 1.8k
W. Ronald Skowsky United States 10 336 0.7× 199 0.8× 92 0.5× 127 0.8× 103 0.7× 15 638
Sofia Enhörning Sweden 18 719 1.4× 217 0.9× 337 1.9× 252 1.6× 83 0.6× 33 1.3k
M. A. Bureau Canada 23 677 1.3× 56 0.2× 150 0.8× 50 0.3× 106 0.7× 62 1.4k
Emanuela Marinoni Italy 23 528 1.0× 173 0.7× 550 3.0× 133 0.9× 96 0.6× 67 1.6k
Romolo Di Iorio Italy 20 452 0.9× 120 0.5× 450 2.5× 95 0.6× 73 0.5× 52 1.3k
B Lichardus Slovakia 13 229 0.4× 110 0.5× 151 0.8× 65 0.4× 51 0.3× 80 610
Francesco Gallo Italy 21 217 0.4× 105 0.4× 110 0.6× 167 1.1× 196 1.3× 70 1.2k
M A Magiakou United States 11 122 0.2× 181 0.8× 88 0.5× 485 3.1× 92 0.6× 14 1.1k

Countries citing papers authored by Peter H Baylis

Since Specialization
Citations

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

Fields of papers citing papers by Peter H Baylis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter H Baylis. 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 Peter H Baylis. The network helps show where Peter H Baylis may publish in the future.

Co-authorship network of co-authors of Peter H Baylis

This figure shows the co-authorship network connecting the top 25 collaborators of Peter H Baylis. A scholar is included among the top collaborators of Peter H Baylis 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 Peter H Baylis. Peter H Baylis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Agha, Amar, Diarmuid Smith, Francis Finucane, et al.. (2004). Attenuation of vasopressin-induced antidiuresis in poorly controlled type 2 diabetes. American Journal of Physiology-Endocrinology and Metabolism. 287(6). E1100–E1106. 8 indexed citations
2.
Baylis, Peter H. (2003). The syndrome of inappropriate antidiuretic hormone secretion. The International Journal of Biochemistry & Cell Biology. 35(11). 1495–1499. 136 indexed citations
3.
Moran, Paul, Peter H Baylis, Marshall D. Lindheimer, & John M. Davison. (2003). Glomerular Ultrafiltration in Normal and Preeclamptic Pregnancy. Journal of the American Society of Nephrology. 14(3). 648–652. 86 indexed citations
4.
Cheetham, Tim & Peter H Baylis. (2002). Diabetes Insipidus in Children. Pediatric Drugs. 4(12). 785–796. 29 indexed citations
6.
Hurel, Steven J., Philip E. Harris, Anne Couvelard, et al.. (1997). Metastatic Prolactinoma: Effect of Octreotide, Cabergoline, Carboplatin and Etoposide; Immunocytochemical Analysis of Proto-Oncogene Expression. The Journal of Clinical Endocrinology & Metabolism. 82(9). 2962–2965. 38 indexed citations
7.
Baylis, Peter H, et al.. (1996). The metabolic clearance of atrial natriuretic peptide during human pregnancy. American Journal of Obstetrics and Gynecology. 175(2). 449–454. 7 indexed citations
8.
Sturrock, Nigel, Chim C. Lang, Peter H Baylis, & Allan D. Struthers. (1994). Sequential effects of cyclosporine therapy on blood pressure, renal function and neurohormones. Kidney International. 45(4). 1203–1210. 13 indexed citations
9.
Faull, Christina, Catherine Holmes, & Peter H Baylis. (1993). Water Balance in Elderly People: Is There a Deficiency of Vasopressin?. Age and Ageing. 22(2). 114–120. 52 indexed citations
10.
Thornton, Steven, John M. Davison, & Peter H Baylis. (1992). Plasma oxytocin during the first and second stages of spontaneous human labour. European Journal of Endocrinology. 126(5). 425–429. 52 indexed citations
11.
Burrell, Louise M., et al.. (1991). Osmoregulation of thirst and vasopressin release in severe chronic renal failure. Kidney International. 39(2). 295–300. 44 indexed citations
12.
Baylis, Peter H, et al.. (1990). Lack of inhibition of vasopressin‐stimulated Na+K+ATPase by atrial natriuretic factor in the rat renal medullary thick ascending limb of Henle's loop. Cell Biochemistry and Function. 8(1). 25–29. 7 indexed citations
13.
Fisher, B. M., Peter H Baylis, Steve Thornton, & Brian M. Frier. (1989). Arginine Vasopressin and Oxytocin Responses to Insulin-Induced Hypoglycemia in Type 1 (Insulin-Dependent) Diabetes*. The Journal of Clinical Endocrinology & Metabolism. 68(3). 688–692. 24 indexed citations
14.
Baylis, Peter H. (1989). 3 Regulation of vasopressin secretion. Baillière s Clinical Endocrinology and Metabolism. 3(2). 313–330. 69 indexed citations
15.
Baylis, Peter H & Paul L. Padfield. (1985). The Posterior pituitary : hormone secretion in health and disease. M. Dekker eBooks. 17 indexed citations
16.
Baylis, Peter H. (1983). Posterior pituitary function in health and disease. Clinics in Endocrinology and Metabolism. 12(3). 747–770. 71 indexed citations
17.
Baylis, Peter H & Robert L. Zerbe. (1981). Arginine Vasopressin Response to Insulin-Induced Hypoglycemia in Man*. The Journal of Clinical Endocrinology & Metabolism. 53(5). 935–940. 90 indexed citations
18.
Baylis, Peter H & Gary L. Robertson. (1980). Rat Vasopressin Response to Insulin-Induced Hypoglycemia*. Endocrinology. 107(6). 1975–1979. 53 indexed citations
19.
Baylis, Peter H, et al.. (1980). A Cytochemical Bioassay for Arginine Vasopressin: Preliminary Studies. Journal of Immunoassay. 1(4). 399–411. 6 indexed citations
20.
Baylis, Peter H & Gary L. Robertson. (1980). Vasopressin Response to 2-Deoxy-D-Glucose in the Rat*. Endocrinology. 107(6). 1970–1974. 21 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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