David Whitmore

4.5k citations
80 papers · 3.1k indexed · h-index 29

David Whitmore

74 papers receiving 3.1k citations

Peers

David Whitmore
Comparison fields: 5 of 130
  • Endocrine and Autonomic Systems 2.1k
  • Aging 477
  • Cellular and Molecular Neuroscience 1.2k
  • Physiology 602
  • Paleontology 157
Replace Cristiano Bertolucci with:
Cristiano Bertolucci Italy
Yoav Gothilf Israel
David A. Prober United States
Lior Appelbaum Israel
Toshiyuki Okano Japan
Kristin Tessmar‐Raible Austria
Jason Rihel United Kingdom
Jack Falcón France
Mark J. Zoran United States
John Ewer United States
David Whitmore relative to Cristiano Bertolucci Italy Cristiano Bertolucci's profile →
Citations per field
00.5×3.9×
Cristiano Bertolucci · 1×
Citations per year

Countries citing papers authored by David Whitmore

Since Specialization
Citations

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

Fields of papers citing papers by David Whitmore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20240
4 20234
5 20232
6 20233
7 20233
8 20207
9 202020
10 201814
11 201820
12
Cable Impregnation for Post-Tension Grouting Problems
20142
13 201394
14 201313
15 200894
16 200417
17 2003147
18 2000111
19
Battling Concrete Corrosion
19994
20
HALTING CORROSION BY CHLORIDE EXTRACTION AND REALKALIZATION
19978

About David Whitmore

David Whitmore is a scholar working on Aging, Nuclear Energy and Engineering, Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Civil and Structural Engineering, having authored 80 papers that have together received 3.1k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (43 papers), Photoreceptor and optogenetics research (29 papers), Concrete Corrosion and Durability (17 papers), Genetics, Aging, and Longevity in Model Organisms (16 papers), Spaceflight effects on biology (12 papers), Light effects on plants (7 papers), Smart Materials for Construction (6 papers) and Neurobiology and Insect Physiology Research (6 papers). The work is most often cited by research in Endocrine and Autonomic Systems (2.1k citations), Aging (477 citations), Cellular and Molecular Neuroscience (1.2k citations), Physiology (602 citations) and Paleontology (157 citations). David Whitmore has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Nicholas S. Foulkes, Paolo Sassone‐Corsi, T. Katherine Tamai, Amanda‐Jayne F. Carr, Marcus P. S. Dekens, Uwe Strähle, Daniela Vallone, Lucy C. Young, Helen Moore and F. Foster. Their work appears in journals such as Proceedings of the National Academy of Sciences, Chronobiology International, Journal of Biological Rhythms, Journal of Comparative Physiology B and Biochemical Society Transactions.

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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2026