David W. Keller

872 citations
31 papers · 595 · h-index 15

Impact in

Papers in

David W. Keller

30 papers receiving 562 citations

Peers

David W. Keller
Comparison fields: 5 of 116
  • Reproductive Medicine 163
  • Endocrinology 56
  • Behavioral Neuroscience 38
  • Endocrine and Autonomic Systems 42
  • Clinical Biochemistry 39
Replace A. A. C. Dutton with:
A. A. C. Dutton United Kingdom
Marappa G. Subramanian United States
Michael S. Anderson United States
Giovanna Liguori Italy
A. P. Walker United States
Kerstin Olsson Sweden
Pavel Klein Czechia
Michelle Reid United Kingdom
Antonis Chatzigiagkos Greece
Melissa K. Crocker United States
David W. Keller relative to A. A. C. Dutton United Kingdom A. A. C. Dutton's profile →
Citations per field
00.5×10×20×29×
A. A. C. Dutton · 1×
Citations per year

Countries citing papers authored by David W. Keller

Since Specialization
Citations

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

Fields of papers citing papers by David W. Keller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David W. 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 David W. Keller Line = papers co-authored together David W. Keller links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197971
2 199660
3 197747
4 199338
5 202036
6 197536
7 202235
8 201632
9 201628
10 199825
11 201822
12 197521
13 197819
14 199517
15 200514
16 198614
17 201012
18 200511
19 202210
20 20069

About David W. Keller

David W. Keller is a scholar working on Reproductive Medicine, Social Psychology, Spectroscopy, Molecular Biology and Public Health, Environmental and Occupational Health, having authored 31 papers that have together received 595 indexed citations. Recurring topics across this work include Analytical Chemistry and Chromatography (5 papers), Ovarian function and disorders (5 papers), Neuroendocrine regulation and behavior (5 papers), Electrochemical Analysis and Applications (4 papers), Hypothalamic control of reproductive hormones (3 papers), Microfluidic and Capillary Electrophoresis Applications (3 papers), Reproductive Biology and Fertility (3 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Reproductive Medicine (163 citations), Endocrinology (56 citations), Behavioral Neuroscience (38 citations), Endocrine and Autonomic Systems (42 citations) and Clinical Biochemistry (39 citations). David W. Keller has collaborated with scholars based in United States, Hungary and Germany. Frequent co-authors include Walter G. Wiest, James C. Warren, Árpád Dobolyi, Kenneth L. Polakoski, Éva Renner, John D. Paulson, Larry Johnson, R.C. Strickler, Melinda Cservenák and Marc D. Porter. Their work appears in journals such as Clinical Infectious Diseases, American Journal of Obstetrics and Gynecology, International Journal of Molecular Sciences, Brain Structure and Function and Journal of Chromatography A.

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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