D.S. Keller

1.4k citations
26 papers · 1.2k · h-index 13

Impact in

    • Cellular transport and secretion
    • Endoplasmic Reticulum Stress and Disease
  • Physiology top 10%
    • Pain Mechanisms and Treatments

Papers in

    • Genetic and phenotypic traits in livestock 7
    • Virus-based gene therapy research 3
    • Inflammatory mediators and NSAID effects 4

D.S. Keller

25 papers receiving 1.2k citations

Peers

D.S. Keller
Comparison fields: 5 of 93
  • Cell Biology 493
  • Physiology 39
  • Pharmacology 140
  • Molecular Biology 552
  • Physiology 199
Replace Milton Wyman with:
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D.S. Keller relative to Milton Wyman United States Milton Wyman's profile →
Citations per field
00.5×4.4×
Milton Wyman · 1×
Citations per year

Countries citing papers authored by D.S. Keller

Since Specialization
Citations

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

Fields of papers citing papers by D.S. Keller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside D.S. Keller, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with D.S. Keller Line = papers co-authored together D.S. Keller links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987292
2 1987260
3 1986123
4 2013113
5 201471
6 198666
7 198765
8 201444
9 199029
10
A comparison of factors reducing selection response in closed nucleus breeding schemes.
199024
11 201719
12 201818
13 199912
14 199811
15 199910
16 19907
17 19996
18 19875
19 19895
20 19895

About D.S. Keller

D.S. Keller is a scholar working on Genetics, Pharmacology, Small Animals, Ecology and Rheumatology, having authored 26 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (7 papers), Bacteriophages and microbial interactions (5 papers), Osteoarthritis Treatment and Mechanisms (4 papers), Inflammatory mediators and NSAID effects (4 papers), Helminth infection and control (4 papers), Cellular transport and secretion (4 papers), Agricultural Economics and Policy (3 papers) and Virus-based gene therapy research (3 papers). The work is most often cited by research in Cell Biology (493 citations), Physiology (39 citations), Pharmacology (140 citations), Molecular Biology (552 citations) and Physiology (199 citations). D.S. Keller has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include William E. Balch, C J Beckers, Ari Helenius, Robert W. Doms, Margaret Elliott, Kenneth M. Verburg, Christine R. West, Joseph Gimbel, K Wagner and Candace Bramson. Their work appears in journals such as Journal of Dairy Science, Osteoarthritis and Cartilage, The Journal of Cell Biology, American Journal of Veterinary Research and Veterinary Parasitology.

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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