David M. Madsen

2.9k citations
25 papers · 2.3k indexed · h-index 20
Topics
Genetics, Aging, and Longevity in Model Organisms (20 papers)Photoreceptor and optogenetics research (13 papers)Circadian rhythm and melatonin (12 papers)

In The Last Decade

David M. Madsen

25 papers receiving 2.3k citations

Peers

David M. Madsen
Comparison fields: 5 of 84
  • Aging 1.4k
  • Cellular and Molecular Neuroscience 1.1k
  • Endocrine and Autonomic Systems 912
  • Molecular Biology 730
  • Physiology 258
Replace Penelope J. Brockie with:
Penelope J. Brockie United States
Jerry E. Mellem United States
Steven L. McIntire United States
Michael R. Koelle United States
Michael N. Nitabach United States
Christian Frøkjær‐Jensen United States
Jonathan T. Pierce United States
Hidetoshi Komatsu Japan
Atsushi Kuhara Japan
Janet S. Duerr United States
David M. Madsen relative to Penelope J. Brockie United States Penelope J. Brockie's profile →
Citations per field
00.5×1.5×
Penelope J. Brockie · 1×
Citations per year

Countries citing papers authored by David M. Madsen

Since Specialization
Citations

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

Fields of papers citing papers by David M. Madsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David M. Madsen

This figure shows the co-authorship network connecting the top 25 collaborators of David M. Madsen. A scholar is included among the top collaborators of David M. Madsen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David M. Madsen. David M. Madsen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 11
3 15
4 63
5 42
6 76
7 81
8 37
9 60
10 66
11 85
12 48
13 51
14 112
15 108
16 13
17 349
18 145
19 182
20 238

About David M. Madsen

David M. Madsen is a scholar working on Aging, Endocrine and Autonomic Systems and Cellular and Molecular Neuroscience, having authored 25 papers that have together received 2.3k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (20 papers), Photoreceptor and optogenetics research (13 papers) and Circadian rhythm and melatonin (12 papers). The work is most often cited by research in Aging (1.4k citations), Endocrine and Autonomic Systems (912 citations) and Cellular and Molecular Neuroscience (1.1k citations). David M. Madsen has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Andres V. Maricq, Penelope J. Brockie, Jerry E. Mellem, Yi Zheng, Michael M. Francis, David M. Tobin, Amanda Kahn-Kirby, Cornelia I. Bargmann, Gary Moulder and Erin L. Peckol. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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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