Peter D. Calvert

2.7k citations
35 papers · 2.2k · h-index 20

Impact in

Papers in

Peter D. Calvert

34 papers receiving 2.1k citations

Peers

Peter D. Calvert
Comparison fields: 5 of 94
  • Cellular and Molecular Neuroscience 1.3k
  • Ophthalmology 303
  • Molecular Biology 1.9k
  • Cell Biology 331
  • Endocrine and Autonomic Systems 136
Replace Ching‐Kang Chen with:
Ching‐Kang Chen United States
Clint L. Makino United States
Ching-Kang Chen United States
Arkady Lyubarsky United States
J. Hugh McDowell United States
Steven J. Pittler United States
Nikolai O. Artemyev United States
R.E. Hurd United States
Dorothy Roof United States
Sergei Nikonov United States
Peter D. Calvert relative to Ching‐Kang Chen United States Ching‐Kang Chen's profile →
Citations per field
00.5×1.5×
Ching‐Kang Chen · 1×
Citations per year

Countries citing papers authored by Peter D. Calvert

Since Specialization
Citations

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

Fields of papers citing papers by Peter D. Calvert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999343
2 2000305
3 2006184
4 1995182
5 1998170
6 2001153
7 200487
8 199584
9 200171
10 201064
11 201164
12 199458
13 200457
14 200251
15 199843
16 201836
17 200726
18 200025
19 202125
20 201221

About Peter D. Calvert

Peter D. Calvert is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Cell Biology and Biophysics, having authored 35 papers that have together received 2.2k indexed citations. Recurring topics across this work include Retinal Development and Disorders (24 papers), Photoreceptor and optogenetics research (21 papers), Receptor Mechanisms and Signaling (12 papers), Genetic and Kidney Cyst Diseases (7 papers), Advanced Fluorescence Microscopy Techniques (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Circadian rhythm and melatonin (4 papers) and Microtubule and mitosis dynamics (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.3k citations), Ophthalmology (303 citations), Molecular Biology (1.9k citations), Cell Biology (331 citations) and Endocrine and Autonomic Systems (136 citations). Peter D. Calvert has collaborated with scholars based in United States, Russia and Australia. Frequent co-authors include Clint L. Makino, Edward N. Pugh, Vadim Y. Arshavsky, M D Bownds, Janis Lem, Nataliia V. Krasnoperova, Vadim A. Klenchin, William E. Schiesser, Massimo Nicolò and Richard L. Sidman. Their work appears in journals such as The Journal of General Physiology, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, The Journal of Cell Biology and Journal of Neuroscience.

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.

Explore authors with similar magnitude of impact