S.A. Guttormsen

595 total citations
25 papers, 436 citations indexed

About

S.A. Guttormsen is a scholar working on Genetics, Molecular Biology and Immunology. According to data from OpenAlex, S.A. Guttormsen has authored 25 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Genetics, 7 papers in Molecular Biology and 4 papers in Immunology. Recurrent topics in S.A. Guttormsen's work include Diabetes and associated disorders (4 papers), Genetic and phenotypic traits in livestock (3 papers) and Tryptophan and brain disorders (3 papers). S.A. Guttormsen is often cited by papers focused on Diabetes and associated disorders (4 papers), Genetic and phenotypic traits in livestock (3 papers) and Tryptophan and brain disorders (3 papers). S.A. Guttormsen collaborates with scholars based in United States, Canada and Sweden. S.A. Guttormsen's co-authors include L.R. Weitkamp, Emmanuel Persad, Harvey C. Stancer, Jerome S. Schultz, Linda E. Nee, Ronald J. Polinsky, Bronya J.B. Keats, D C Shreffler, Charles F. Sing and Stephen S. Rich and has published in prestigious journals such as New England Journal of Medicine, Diabetes and Journal of the Neurological Sciences.

In The Last Decade

S.A. Guttormsen

25 papers receiving 374 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S.A. Guttormsen United States 12 182 125 61 59 53 25 436
Georgios Voloudakis United States 12 124 0.7× 335 2.7× 119 2.0× 33 0.6× 46 0.9× 21 576
Deborah V. Harbour United States 14 105 0.6× 209 1.7× 167 2.7× 29 0.5× 58 1.1× 19 659
A. R. BOYNS United Kingdom 16 112 0.6× 112 0.9× 30 0.5× 31 0.5× 45 0.8× 46 664
Mohammad Mahdi Eftekharian Iran 16 97 0.5× 225 1.8× 118 1.9× 22 0.4× 45 0.8× 54 643
Nicole Créau France 16 335 1.8× 397 3.2× 25 0.4× 29 0.5× 47 0.9× 25 801
Guy Shapira Israel 13 71 0.4× 181 1.4× 73 1.2× 34 0.6× 40 0.8× 39 430
J Kelemen Hungary 11 40 0.2× 163 1.3× 40 0.7× 25 0.4× 38 0.7× 26 360
A. T. Rundle Canada 11 122 0.7× 113 0.9× 16 0.3× 36 0.6× 58 1.1× 48 398
Gaëtan Riou France 11 86 0.5× 192 1.5× 109 1.8× 18 0.3× 53 1.0× 20 472
Stefania Cannoni Italy 15 77 0.4× 216 1.7× 313 5.1× 14 0.2× 41 0.8× 25 785

Countries citing papers authored by S.A. Guttormsen

Since Specialization
Citations

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

Fields of papers citing papers by S.A. Guttormsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S.A. Guttormsen

This figure shows the co-authorship network connecting the top 25 collaborators of S.A. Guttormsen. A scholar is included among the top collaborators of S.A. Guttormsen 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 S.A. Guttormsen. S.A. Guttormsen 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.
Stancer, H.C., et al.. (1989). Toronto‐Rochester depression study of 116 HLA‐typed kindreds. Genetic Epidemiology. 6(1). 191–194. 2 indexed citations
2.
Weitkamp, L.R., S.A. Guttormsen, & Jerome S. Schultz. (1988). Linkage between the loci for the Lp(a) lipoprotein (LP) and plasminogen (PLG). Human Genetics. 79(1). 80–82. 51 indexed citations
3.
Weitkamp, L.R., et al.. (1988). Standardbred stallion gene transmission for twelve protein systems: evidence for selection in trotters. Animal Genetics. 19(4). 317–330. 3 indexed citations
4.
5.
Juneja, Rajiv, L.R. Weitkamp, A. Stratil, B. Gahne, & S.A. Guttormsen. (1988). Further Studies of the Plasma &alpha;<sub>1</sub>B-Glycoprotein Polymorphism: Two New Alleles and Allele Frequencies in Caucasians and in American Blacks. Human Heredity. 38(5). 267–272. 8 indexed citations
6.
Stancer, H.C., Claire L. Mellor, L.R. Weitkamp, et al.. (1987). The Relationship of HLA to Depression and Manic Depression. I. The Newfoundland Follow-Up. The Canadian Journal of Psychiatry. 32(9). 768–772. 3 indexed citations
7.
Rich, Stephen S., L.R. Weitkamp, S.A. Guttormsen, & J Barbosa. (1986). Gm, Km, and HLA in Insulin-Dependent Type I Diabetes Mellitus: A Log-Linear Analysis of Association. Diabetes. 35(8). 927–932. 19 indexed citations
8.
Cothran, E. Gus, Jean W. MacCluer, L.R. Weitkamp, & S.A. Guttormsen. (1986). Genetic variability, inbreeding, and reproductive performance in standardbred horses. Zoo Biology. 5(2). 191–201. 9 indexed citations
9.
Weitkamp, L.R., et al.. (1983). Equine marker genes: Polymorphism for plasminogen. Animal Blood Groups and Biochemical Genetics. 14(2). 219–223. 9 indexed citations
10.
Weitkamp, L.R., et al.. (1982). Equine gene mapping: Close linkage between the loci for soluble malic enzyme and Xk (Pa). Animal Blood Groups and Biochemical Genetics. 13(4). 279–284. 12 indexed citations
11.
Guttormsen, S.A., et al.. (1982). Genetics of Standardbred stallion reproductive performance.. PubMed. 32. 135–42. 16 indexed citations
12.
Weitkamp, L.R., et al.. (1982). Equine gene mapping: A sex difference in recombination frequency for linkage group II. Animal Blood Groups and Biochemical Genetics. 13(4). 305–306. 5 indexed citations
13.
Weitkamp, L.R., M.A. Ferguson‐Smith, S.A. Guttormsen, et al.. (1978). The linkage relationships of marker sites on chromosomes no. 2 and 10. Annals of Human Genetics. 42(2). 183–189. 2 indexed citations
14.
Weitkamp, L.R., et al.. (1978). Allelic specific heterogeneity in the <i>Pi:Gm</i> linkage group. Cytogenetic and Genome Research. 22(1-6). 647–650. 6 indexed citations
15.
Weitkamp, L.R., et al.. (1976). Data on the genetic linkage relationships between red cell acid phosphatase and alpha<sub>1</sub>-antitrypsin variants Z, S, I, and F. Cytogenetic and Genome Research. 16(1-5). 359–363. 4 indexed citations
16.
Weitkamp, L.R. & S.A. Guttormsen. (1976). Genetic linkage of a locus for erythrocyte glyoxalase (GLO) with <i>HLA </i>and <i>Bf</i>. Cytogenetic and Genome Research. 16(1-5). 364–366. 15 indexed citations
17.
Weitkamp, L.R., et al.. (1974). Probable Genetic Linkage between the Loci for the Lewis Blood Group and Complement C 3. Cytogenetic and Genome Research. 13(1-2). 183–184. 15 indexed citations
18.
Weitkamp, L.R., et al.. (1971). Genetic linkage between a locus for 6-PGD and the Rh locus: evaluation of possible heterogeneity in the recombination fraction between sexes and among families.. PubMed. 23(5). 462–70. 23 indexed citations
19.
Weitkamp, L.R., S.A. Guttormsen, D C Shreffler, Charles F. Sing, & John A. Napier. (1970). Genetic linkage relations of the loci for 6-phosphogluconate dehydrogenase and adenosine deaminase in man.. PubMed. 22(2). 216–20. 11 indexed citations
20.
Weitkamp, L.R., et al.. (1969). Inherited pericentric inversion of chromosome number two: A linkage study*. Annals of Human Genetics. 33(1). 53–59. 32 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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