Gilbert R. Kaats

59 total papers · 1.1k total citations
34 papers, 809 citations indexed

About

Gilbert R. Kaats is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Epidemiology. According to data from OpenAlex, Gilbert R. Kaats has authored 34 papers receiving a total of 809 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Endocrinology, Diabetes and Metabolism, 10 papers in Physiology and 7 papers in Epidemiology. Recurrent topics in Gilbert R. Kaats's work include Liver Disease Diagnosis and Treatment (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers) and Diet, Metabolism, and Disease (5 papers). Gilbert R. Kaats is often cited by papers focused on Liver Disease Diagnosis and Treatment (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers) and Diet, Metabolism, and Disease (5 papers). Gilbert R. Kaats collaborates with scholars based in United States and Taiwan. Gilbert R. Kaats's co-authors include Harry G. Preuss, Keith E. Davis, Sidney J. Stohs, Kenneth Blum, Joel Michalek, Debasis Bagchi, Robert G. Wood, John A. Wise, Nicholas V. Perricone and Robert J. Morin and has published in prestigious journals such as Molecular Psychiatry, Journal of Marriage and the Family and Food and Chemical Toxicology.

In The Last Decade

Gilbert R. Kaats

32 papers receiving 746 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Gilbert R. Kaats	133	133	118	108	91	34	809
Rudolf E. Noble	137 1.0×	141 1.1×	51 0.4×	177 1.6×	63 0.7×	25	946
Xue Han	154 1.2×	175 1.3×	58 0.5×	54 0.5×	98 1.1×	42	953
Sàdaf Noor	189 1.4×	105 0.8×	48 0.4×	72 0.7×	49 0.5×	45	1.0k
Maryam Kazemi	88 0.7×	120 0.9×	72 0.6×	58 0.5×	117 1.3×	51	919
Sofiane Kab	126 0.9×	103 0.8×	29 0.2×	53 0.5×	71 0.8×	50	964
Fudong Li	225 1.7×	106 0.8×	71 0.6×	32 0.3×	27 0.3×	55	876
Susan Darroudi	97 0.7×	156 1.2×	32 0.3×	55 0.5×	126 1.4×	62	842
Ali Pourmotabbed	132 1.0×	168 1.3×	102 0.9×	55 0.5×	31 0.3×	52	949
Yu‐Wen Chiu	54 0.4×	131 1.0×	54 0.5×	136 1.3×	83 0.9×	45	748
Kelley Strohacker	100 0.8×	351 2.6×	38 0.3×	105 1.0×	76 0.8×	57	1.0k

Countries citing papers authored by Gilbert R. Kaats

Since Specialization

Citations

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

Fields of papers citing papers by Gilbert R. Kaats

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gilbert R. Kaats. 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 Gilbert R. Kaats. The network helps show where Gilbert R. Kaats may publish in the future.

Co-authorship network of co-authors of Gilbert R. Kaats

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

All Works

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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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