Kenneth W. Foreman

33 total papers · 778 total citations
21 papers, 472 citations indexed

About

Kenneth W. Foreman is a scholar working on Molecular Biology, Organic Chemistry and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Kenneth W. Foreman has authored 21 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 5 papers in Organic Chemistry and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Kenneth W. Foreman's work include Growth Hormone and Insulin-like Growth Factors (4 papers), Chemical Synthesis and Analysis (3 papers) and RNA and protein synthesis mechanisms (3 papers). Kenneth W. Foreman is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (4 papers), Chemical Synthesis and Analysis (3 papers) and RNA and protein synthesis mechanisms (3 papers). Kenneth W. Foreman collaborates with scholars based in United States, Canada and Japan. Kenneth W. Foreman's co-authors include Lee D. Arnold, Li Zhu, June V. Harriss, Chhaya Das, Salam Shaaban, Mark J. Mulvihill, Mark A. Brown, Qunsheng Ji, Spencer Emtage and W. Todd Miller and has published in prestigious journals such as The EMBO Journal, PLoS ONE and The Journal of Physical Chemistry B.

In The Last Decade

Kenneth W. Foreman

18 papers receiving 447 citations

Author Peers

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

Author						Papers	Cites
Kenneth W. Foreman	356	93	65	54	54	21	472
Shankar Jayarama	222 0.6×	136 1.5×	62 1.0×	47 0.9×	52 1.0×	29	435
Lorna H. Mitchell	254 0.7×	149 1.6×	40 0.6×	18 0.3×	53 1.0×	26	504
Nina Sacerdoti‐Sierra	270 0.8×	121 1.3×	68 1.0×	44 0.8×	62 1.1×	12	526
Hitoshi Sakashita	220 0.6×	80 0.9×	50 0.8×	14 0.3×	74 1.4×	19	409
Cynthia Hess Kenny	269 0.8×	107 1.2×	40 0.6×	28 0.5×	36 0.7×	17	418
Diana C. West	291 0.8×	98 1.1×	146 2.2×	21 0.4×	39 0.7×	10	523
R. B. Lingham	302 0.8×	81 0.9×	95 1.5×	15 0.3×	35 0.6×	10	469
Mark E. Zupec	326 0.9×	115 1.2×	91 1.4×	19 0.4×	13 0.2×	18	546
Rosalba Florio	327 0.9×	116 1.2×	101 1.6×	31 0.6×	34 0.6×	26	526
K. Bhavani	260 0.7×	30 0.3×	38 0.6×	33 0.6×	62 1.1×	13	410

Countries citing papers authored by Kenneth W. Foreman

Since Specialization

Citations

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

Fields of papers citing papers by Kenneth W. Foreman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kenneth W. Foreman. 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 Kenneth W. Foreman. The network helps show where Kenneth W. Foreman may publish in the future.

Co-authorship network of co-authors of Kenneth W. Foreman

This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth W. Foreman. A scholar is included among the top collaborators of Kenneth W. Foreman 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 Kenneth W. Foreman. Kenneth W. Foreman 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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