V M Watt

722 total citations
11 papers, 608 citations indexed

About

V M Watt is a scholar working on Molecular Biology, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, V M Watt has authored 11 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Surgery and 2 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in V M Watt's work include Metabolism, Diabetes, and Cancer (5 papers), Pancreatic function and diabetes (4 papers) and DNA and Nucleic Acid Chemistry (2 papers). V M Watt is often cited by papers focused on Metabolism, Diabetes, and Cancer (5 papers), Pancreatic function and diabetes (4 papers) and DNA and Nucleic Acid Chemistry (2 papers). V M Watt collaborates with scholars based in Canada and United States. V M Watt's co-authors include Peter Shier, William J. Rutter, M S Urdea, C. James Ingles, Christopher Yip, Bernard P. Schimmer, Joel Chan and H.F. Willard and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemical and Biophysical Research Communications.

In The Last Decade

V M Watt

11 papers receiving 591 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
V M Watt Canada 8 436 144 122 110 80 11 608
Dominique Semon Switzerland 8 408 0.9× 170 1.2× 49 0.4× 30 0.3× 78 1.0× 8 694
Per Henrik Guddal Norway 10 576 1.3× 131 0.9× 31 0.3× 55 0.5× 44 0.6× 10 711
Kurt A. Eakle United States 11 782 1.8× 112 0.8× 29 0.2× 125 1.1× 56 0.7× 17 1.1k
Jean‐Claude Chuat France 13 300 0.7× 187 1.3× 120 1.0× 96 0.9× 23 0.3× 32 591
D Parker United Kingdom 11 352 0.8× 182 1.3× 53 0.4× 34 0.3× 39 0.5× 13 537
Wannes D’Hertog Belgium 15 273 0.6× 242 1.7× 124 1.0× 241 2.2× 34 0.4× 23 765
B E Noyes United States 8 276 0.6× 142 1.0× 67 0.5× 106 1.0× 16 0.2× 10 508
A.D.M. van Mansfeld Netherlands 16 600 1.4× 407 2.8× 98 0.8× 191 1.7× 186 2.3× 26 979
Maurice J. Frenkel Australia 9 359 0.8× 47 0.3× 124 1.0× 57 0.5× 68 0.8× 12 542
J.P. LePennec France 8 631 1.4× 349 2.4× 62 0.5× 18 0.2× 74 0.9× 8 899

Countries citing papers authored by V M Watt

Since Specialization
Citations

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

Fields of papers citing papers by V M Watt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V M Watt. 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 V M Watt. The network helps show where V M Watt may publish in the future.

Co-authorship network of co-authors of V M Watt

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

All Works

11 of 11 papers shown
1.
Watt, V M, et al.. (1995). A Novel Guanylyl Cyclase-A Isoform: Rat GC-A1 Identification and mRNA Localization to Renal Papilla and Adrenal. Biochemical and Biophysical Research Communications. 209(3). 930–935. 4 indexed citations
3.
Shier, Peter & V M Watt. (1992). Tissue-specific expression of the rat insulin receptor-related receptor gene.. Molecular Endocrinology. 6(5). 723–729. 32 indexed citations
4.
Watt, V M, et al.. (1992). DNA fingerprints from minimal blood volumes. Molecular Ecology. 1(2). 131–132. 4 indexed citations
5.
Shier, Peter, H.F. Willard, & V M Watt. (1990). Localization of the insulin receptor-related receptor gene to human chromosome 1. Cytogenetic and Genome Research. 54(1-2). 80–81. 7 indexed citations
6.
Watt, V M & Christopher Yip. (1989). Amino Acid Sequence Deduced from a Rat Kidney cDNA Suggests It Encodes the Zn-Peptidase Aminopeptidase N. Journal of Biological Chemistry. 264(10). 5480–5487. 95 indexed citations
7.
Shier, Peter & V M Watt. (1989). Primary Structure of a Putative Receptor for a Ligand of the Insulin Family. Journal of Biological Chemistry. 264(25). 14605–14608. 180 indexed citations
8.
Watt, V M, C. James Ingles, M S Urdea, & William J. Rutter. (1985). Homology requirements for recombination in Escherichia coli.. Proceedings of the National Academy of Sciences. 82(14). 4768–4772. 224 indexed citations
9.
Watt, V M. (1985). Sequence and evolution of guinea pig preproinsulin DNA.. Journal of Biological Chemistry. 260(20). 10926–10929. 14 indexed citations
10.
Watt, V M & Bernard P. Schimmer. (1982). Clonal variation in adrenocorticotropin-induced desensitization of adenylate cyclase in Y1 adrenocortical tumor cells. Association with a 68,000-dalton protein.. Journal of Biological Chemistry. 257(4). 1684–1689. 14 indexed citations
11.
Watt, V M & Bernard P. Schimmer. (1981). Association of a 68,000-dalton protein with adrenocorticotropin-sensitive adenylate cyclase activity in Y1 adrenocortical tumor cells.. Journal of Biological Chemistry. 256(21). 11365–11371. 14 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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