Kenneth W. Foreman

786 citations
21 papers · 472 indexed · h-index 10
Topics
Growth Hormone and Insulin-like Growth Factors (4 papers)Protein Structure and Dynamics (3 papers)Chemical Synthesis and Analysis (3 papers)
Partner nations
United StatesCanadaChina

In The Last Decade

Kenneth W. Foreman

18 papers receiving 447 citations

Peers

Kenneth W. Foreman
Comparison fields: 5 of 69
  • Molecular Biology 356
  • Organic Chemistry 93
  • Oncology 65
  • Endocrinology, Diabetes and Metabolism 54
  • Immunology 54
Replace Cynthia Hess Kenny with:
Cynthia Hess Kenny United States
Aras Emdadi United States
Lorna H. Mitchell United States
Cuiting Peng China
Alison Leed United States
Vineet Kumar United States
Santwana Kar United States
Benjamin C. Lane United States
Li‐Hsing Chen United States
N. Devleeschouwer Belgium
Kenneth W. Foreman relative to Cynthia Hess Kenny United States Cynthia Hess Kenny's profile →
Citations per field
00.5×2.6×
Cynthia Hess Kenny · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 2
5 5
6 5
7 3
8 6
9 32
10 5
11 6
12 41
13 13
14 89
15 13
16 1
17 67
18 59
19 68
20 43

About Kenneth W. Foreman

Kenneth W. Foreman is a scholar working on Toxicology, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 21 papers that have together received 472 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (4 papers), Protein Structure and Dynamics (3 papers) and Chemical Synthesis and Analysis (3 papers). The work is most often cited by research in Toxicology (21 citations), Molecular Biology (356 citations) and Organic Chemistry (93 citations). Kenneth W. Foreman has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Lee D. Arnold, Chhaya Das, Mark A. Brown, June V. Harriss, Salam Shaaban, Li Zhu, Mark J. Mulvihill, Qunsheng Ji, Philip W. Tucker and Spencer Emtage. Their work appears in journals such as The EMBO Journal, PLoS ONE and The Journal of Physical Chemistry B.

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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