J. Ken McDonald

2.5k citations
45 papers · 1.9k indexed · h-index 24
Topics
Peptidase Inhibition and Analysis (23 papers)Neuropeptides and Animal Physiology (15 papers)Protease and Inhibitor Mechanisms (7 papers)

In The Last Decade

J. Ken McDonald

44 papers receiving 1.8k citations

Peers

J. Ken McDonald
Comparison fields: 5 of 109
  • Molecular Biology 872
  • Oncology 743
  • Cellular and Molecular Neuroscience 514
  • Public Health, Environmental and Occupational Health 264
  • Cell Biology 245
Replace Jonathan H. Zippin with:
Jonathan H. Zippin United States
Kenneth M. Halprin United States
Michael G. Kemp United States
Kazukiyo Onodera Japan
Eric Wakshull United States
Mineo Niwa Japan
Kiyoji Tanaka Japan
Asser S. Andersen Denmark
Teresa M. Weber United States
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J. Ken McDonald relative to Jonathan H. Zippin United States Jonathan H. Zippin's profile →
Citations per field
00.5×4.3×
Jonathan H. Zippin · 1×
Citations per year

Countries citing papers authored by J. Ken McDonald

Since Specialization
Citations

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

Fields of papers citing papers by J. Ken McDonald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Ken McDonald. 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 J. Ken McDonald. The network helps show where J. Ken McDonald may publish in the future.

Co-authorship network of co-authors of J. Ken McDonald

This figure shows the co-authorship network connecting the top 25 collaborators of J. Ken McDonald. A scholar is included among the top collaborators of J. Ken McDonald 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 J. Ken McDonald. J. Ken McDonald 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 2
3 10
4 7
5 22
6 4
7 50
8 18
9 21
10 19
11 18
12 34
13 37
14 26
15 190
16 42
17 84
18 9
19 15
20 7

About J. Ken McDonald

J. Ken McDonald is a scholar working on Occupational Therapy, Oncology and Cellular and Molecular Neuroscience, having authored 45 papers that have together received 1.9k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (23 papers), Neuropeptides and Animal Physiology (15 papers) and Protease and Inhibitor Mechanisms (7 papers). The work is most often cited by research in Occupational Therapy (125 citations), Cellular and Molecular Neuroscience (514 citations) and Oncology (743 citations). J. Ken McDonald has collaborated with scholars based in United States, Norway and Russia. Frequent co-authors include Stanley Ellis, Christian Schwabe, Thomas J. Reilly, Benjamin B. Zeitman, S. Ellis, Bernard G. Steinetz, Paul X. Callahan, F. H. Leibach, R. E. Grindeland and A. John Barrett. Their work appears in journals such as Nature, Science and Nucleic Acids Research.

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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