Michael Wallis

3.0k total citations
133 papers, 2.4k citations indexed

About

Michael Wallis is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Genetics. According to data from OpenAlex, Michael Wallis has authored 133 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Endocrinology, Diabetes and Metabolism, 42 papers in Molecular Biology and 34 papers in Genetics. Recurrent topics in Michael Wallis's work include Growth Hormone and Insulin-like Growth Factors (104 papers), Cancer, Hypoxia, and Metabolism (17 papers) and Metabolism, Diabetes, and Cancer (15 papers). Michael Wallis is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (104 papers), Cancer, Hypoxia, and Metabolism (17 papers) and Metabolism, Diabetes, and Cancer (15 papers). Michael Wallis collaborates with scholars based in United Kingdom, France and United States. Michael Wallis's co-authors include O. Caryl Wallis, Isabel A. Forsyth, Keith P. Ray, A. T. Holder, Jennifer A. Marshall Graves, Paul D. Waters, Andrew Bentley, Alan Betteridge, Julian R. Thorpe and Krishanu Ray and has published in prestigious journals such as Nature, Biochemical Journal and Biochemical and Biophysical Research Communications.

In The Last Decade

Michael Wallis

132 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Wallis United Kingdom 28 1.3k 827 794 196 186 133 2.4k
Bruria Funkenstein Israel 30 868 0.7× 875 1.1× 672 0.8× 133 0.7× 113 0.6× 80 2.3k
Isabel A. Forsyth United Kingdom 25 541 0.4× 692 0.8× 509 0.6× 97 0.5× 140 0.8× 45 2.0k
M. Sar United States 31 833 0.6× 1.4k 1.7× 1.1k 1.4× 103 0.5× 166 0.9× 64 3.2k
Charles S. Nicoll United States 36 2.1k 1.6× 720 0.9× 993 1.3× 215 1.1× 355 1.9× 147 4.3k
Josiane Szpirer Belgium 31 334 0.3× 1.2k 1.4× 2.0k 2.6× 212 1.1× 349 1.9× 137 3.4k
James F. Catterall United States 30 854 0.7× 704 0.9× 1.3k 1.7× 75 0.4× 89 0.5× 56 2.5k
Daniel J. Bernard Canada 36 759 0.6× 729 0.9× 1.8k 2.3× 160 0.8× 183 1.0× 145 3.9k
Daniel Christophe Belgium 27 749 0.6× 603 0.7× 1.4k 1.7× 86 0.4× 121 0.7× 82 2.3k
Erika M. Plisetskaya United States 45 1.3k 1.0× 633 0.8× 807 1.0× 169 0.9× 399 2.1× 93 4.8k
Daniel F. Cimino United States 14 543 0.4× 1.3k 1.6× 1.1k 1.4× 88 0.4× 120 0.6× 20 2.4k

Countries citing papers authored by Michael Wallis

Since Specialization
Citations

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

Fields of papers citing papers by Michael Wallis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Wallis

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Wallis. A scholar is included among the top collaborators of Michael Wallis 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 Wallis. Michael Wallis 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.
Pérez‐Maya, Antonio Alí, Michael Wallis, & Hugo A. Barrera‐Saldaña. (2016). Structure and evolution of the gorilla and orangutan growth hormone loci. Mammalian Genome. 27(9-10). 511–523. 4 indexed citations
2.
Wallis, Michael. (2014). Molecular evolution of growth hormone. Sussex Research Online (University of Sussex). 2 indexed citations
3.
Pérez‐Maya, Antonio Alí, Iram P. Rodríguez‐Sánchez, Pieter de Jong, Michael Wallis, & Hugo A. Barrera‐Saldaña. (2012). The chimpanzee GH locus: composition, organization, and evolution. Mammalian Genome. 23(5-6). 387–398. 6 indexed citations
4.
Wallis, Michael. (2012). Molecular evolution of the neurohypophysial hormone precursors in mammals: Comparative genomics reveals novel mammalian oxytocin and vasopressin analogues. General and Comparative Endocrinology. 179(2). 313–318. 35 indexed citations
5.
6.
Wallis, Michael, Paul D. Waters, & Jennifer A. Marshall Graves. (2008). Sex determination in mammals — Before and after the evolution of SRY. Cellular and Molecular Life Sciences. 65(20). 3182–3195. 86 indexed citations
7.
Wallis, O. Caryl & Michael Wallis. (2006). Evolution of Growth Hormone in Primates: The GH Gene Clusters of the New World Monkeys Marmoset (Callithrix jacchus) and White-Fronted Capuchin (Cebus albifrons). Journal of Molecular Evolution. 63(5). 591–601. 22 indexed citations
8.
Wallis, O. Caryl, et al.. (2005). Molecular Evolution of Prolactin in Primates. Journal of Molecular Evolution. 60(5). 606–614. 27 indexed citations
9.
Forsyth, Isabel A. & Michael Wallis. (2002). Growth Hormone and Prolactin—Molecular and Functional Evolution. Journal of Mammary Gland Biology and Neoplasia. 7(3). 291–312. 178 indexed citations
10.
Wallis, O. Caryl & Michael Wallis. (2002). Characterisation of the GH gene cluster in a new-world monkey, the marmoset (Callithrix jacchus). Journal of Molecular Endocrinology. 29(1). 89–97. 29 indexed citations
11.
Wallis, Michael, et al.. (2001). Actions of monoclonal antibodies on the activity of human growth hormone (GH) in an in vitro bioassay. Molecular and Cellular Endocrinology. 174(1-2). 11–19. 2 indexed citations
12.
Wallis, Michael. (2000). Episodic Evolution of Protein Hormones: Molecular Evolution of Pituitary Prolactin. Journal of Molecular Evolution. 50(5). 465–473. 41 indexed citations
13.
Nevo, Eviatar, et al.. (1999). Cloning and characterisation of the gene encoding mole rat (Spalax ehrenbergi) growth hormone. Journal of Molecular Endocrinology. 22(1). 29–36. 3 indexed citations
14.
Wallis, Michael. (1996). The molecular evolution of vertebrate growth hormones: A pattern of near-stasis interrupted by sustained bursts of rapid change. Journal of Molecular Evolution. 43(2). 93–100. 79 indexed citations
15.
Wallis, Michael. (1991). Growth hormone‐binding proteins. Clinical Endocrinology. 35(4). 291–293. 7 indexed citations
16.
Pell, J. M., et al.. (1990). Growth, body composition, hormonal and metabolic status in lambs treated long-term with growth hormone. British Journal Of Nutrition. 63(3). 431–445. 37 indexed citations
17.
Wallis, Michael, et al.. (1989). Human growth hormone stimulates somatomedin C/insulin-like growth factor I production by the human lymphoid cell line, IM-9. Molecular and Cellular Endocrinology. 63(1-2). 167–173. 6 indexed citations
18.
Wallis, O. Caryl & Michael Wallis. (1989). Production of plasmids giving high expression of recombinant DNA‐derived ovine growth hormone variants in Escherichia coli. FEBS Letters. 250(2). 371–376. 11 indexed citations
19.
Aston, R., A. T. Holder, Michael Wallis, P. C. Bates, & R. Bomford. (1988). Enhancement of growth hormone activity in vivo by monoclonal antibodies: potential for autoimmunization. Proceedings of The Nutrition Society. 47(3). 387–395. 3 indexed citations
20.
Wallis, Michael. (1988). The molecular basis of growth hormone deficiency. Molecular Aspects of Medicine. 10(5). 429–509. 1 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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