Van D. Gooch

16 papers receiving 426 citations

Peers

Van D. Gooch
Comparison fields: 5 of 63
  • Endocrine and Autonomic Systems 148
  • Aging 24
  • Cellular and Molecular Neuroscience 155
  • Plant Science 174
  • Molecular Biology 255
Replace Michinori Mutsuda with:
Michinori Mutsuda Japan
Ken Goto Japan
Naoki Takai Japan
Megumi Morishita Japan
Stephen D. Fields United States
P. J. Lumsden United Kingdom
Cigdem Sancar Germany
Luca Rizzini Germany
Christine Markert Germany
Nicole K. Reynolds United States
Van D. Gooch relative to Michinori Mutsuda Japan Michinori Mutsuda's profile →
Citations per field
00.5×2.7×
Michinori Mutsuda · 1×
Citations per year

Countries citing papers authored by Van D. Gooch

Since Specialization
Citations

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

Fields of papers citing papers by Van D. Gooch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Van D. Gooch, 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 Van D. Gooch Line = papers co-authored together Van D. Gooch links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2007117
2 197661
3 197447
4 198640
5 198039
6 199431
7 197824
8 197119
9 200718
10 197418
11 200411
12 198010
13 201410
14 20144
15 19782
16
Limit Cycle Displacement Model of Circadian Rhythms
20072
17 19880

About Van D. Gooch

Van D. Gooch is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Plant Science and Biomedical Engineering, having authored 17 papers that have together received 453 indexed citations. Recurring topics across this work include Photoreceptor and optogenetics research (9 papers), bioluminescence and chemiluminescence research (7 papers), Circadian rhythm and melatonin (6 papers), Light effects on plants (6 papers), Mitochondrial Function and Pathology (3 papers), Molecular Communication and Nanonetworks (2 papers), Advanced Chemical Sensor Technologies (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (148 citations), Aging (24 citations), Cellular and Molecular Neuroscience (155 citations), Plant Science (174 citations) and Molecular Biology (255 citations). Van D. Gooch has collaborated with scholars based in United States, Canada and Chile. Frequent co-authors include Lester Packer, J. Woodland Hastings, Jay Dunlap, Luis Larrondo, Jennifer Loros, Arun Mehra, Walter Taylor, Frank M. Sulzman, David Njus and Robert J. Schmidt. Their work appears in journals such as Journal of Biological Rhythms, Journal of Phycology, Photochemistry and Photobiology, Cold Spring Harbor Symposia on Quantitative Biology and Journal of Comparative Physiology B.

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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