Daniel B. Forger

93 papers receiving 4.5k citations

Peers

Daniel B. Forger
Comparison fields: 5 of 137
  • Endocrine and Autonomic Systems 2.7k
  • Experimental and Cognitive Psychology 533
  • Statistical and Nonlinear Physics 232
  • Cognitive Neuroscience 288
  • Computer Networks and Communications 192
Replace Isao T. Tokuda with:
Isao T. Tokuda Japan
David Paydarfar United States
Tanya Leise United States
Roberto F. Galán United States
Uwe an der Heiden Germany
Saket Navlakha United States
Boris S Gutkin France
John R. Terry United Kingdom
Hans Braun Germany
Philippe Fauré France
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Citations per field
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Citations per year

Countries citing papers authored by Daniel B. Forger

Since Specialization
Citations

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

Fields of papers citing papers by Daniel B. Forger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel B. Forger. 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 Daniel B. Forger. The network helps show where Daniel B. Forger may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003279
2 2017204
3 2019187
4 2012186
5 2016185
6 2010175
7 1999160
8 2009151
9 2015151
10 2006149
11 1999141
12 2004141
13 2015140
14 1999135
15 2018129
16 2014122
17 2015120
18 200689
19 201480
20 200974

About Daniel B. Forger

Daniel B. Forger is a scholar working on Endocrine and Autonomic Systems, Experimental and Cognitive Psychology, Statistical and Nonlinear Physics, Cognitive Neuroscience and Computer Networks and Communications, having authored 97 papers that have together received 4.5k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (64 papers), Gene Regulatory Network Analysis (6 papers), Nonlinear Dynamics and Pattern Formation (5 papers), Sleep and related disorders (5 papers), Sleep and Work-Related Fatigue (4 papers), stochastic dynamics and bifurcation (4 papers), Neural dynamics and brain function (4 papers) and Bipolar Disorder and Treatment (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (2.7k citations), Experimental and Cognitive Psychology (533 citations), Statistical and Nonlinear Physics (232 citations), Cognitive Neuroscience (288 citations) and Computer Networks and Communications (192 citations). Daniel B. Forger has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include Charles S. Peskin, Richard E. Kronauer, Megan E. Jewett, Jae Kyoung Kim, Olivia Walch, David M. Virshup, Yitong Huang, David Paydarfar, Amy Louise Cochran and Cathy A. Goldstein. Their work appears in journals such as Journal of Biological Rhythms, Proceedings of the National Academy of Sciences, PLoS Computational Biology, SLEEP and Journal of Theoretical Biology.

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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