Scott Hagan

22 papers receiving 506 citations

Peers

Scott Hagan
Comparison fields: 5 of 104
  • Physiology 159
  • Cellular and Molecular Neuroscience 111
  • Cognitive Neuroscience 114
  • Atomic and Molecular Physics, and Optics 173
  • Endocrine and Autonomic Systems 29
Replace Vahid Salari with:
Vahid Salari Iran
Neil P. Oxtoby United Kingdom
Emilio Del Giudice Italy
Yu Watanabe Japan
Carsten K. Nielsen Denmark
Partha Ghose India
Mari Jibu Japan
Blake T. Dotta Canada
Sisir Roy India
P. Anninos Greece
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Citations per field
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Citations per year

Countries citing papers authored by Scott Hagan

Since Specialization
Citations

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

Fields of papers citing papers by Scott Hagan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002238
2 1994140
3 201454
4 202041
5 201122
6 199721
7 201314
8 202013
9 202411
10 20006
11 20204
12 19914
13
The Interface in a Mixed Quantum/Classical Model of Brain Function
19993
14 20212
15 19912
16
Constraints on an emergent formulation of conscious mental states
20012
17 20251
18 20231
19 20241
20 20211

About Scott Hagan

Scott Hagan is a scholar working on Atomic and Molecular Physics, and Optics, Cellular and Molecular Neuroscience, Pulmonary and Respiratory Medicine, Epidemiology and Artificial Intelligence, having authored 32 papers that have together received 584 indexed citations. Recurring topics across this work include Quantum Mechanics and Applications (5 papers), Photoreceptor and optogenetics research (4 papers), Biofield Effects and Biophysics (3 papers), Black Holes and Theoretical Physics (2 papers), Electronic Health Records Systems (2 papers), Cosmology and Gravitation Theories (2 papers), Quantum Computing Algorithms and Architecture (2 papers) and Regulation of Appetite and Obesity (2 papers). The work is most often cited by research in Physiology (159 citations), Cellular and Molecular Neuroscience (111 citations), Cognitive Neuroscience (114 citations), Atomic and Molecular Physics, and Optics (173 citations) and Endocrine and Autonomic Systems (29 citations). Scott Hagan has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Stuart R. Hameroff, Jack A. Tuszyński, Kunio Yasue, Mari Jibu, Karl H. Pribram, Kevin D. Niswender, Ashok Reddy, Karin M. Nelson, Ilya Golovaty and Leonie Heyworth. Their work appears in journals such as Journal of General Internal Medicine, Healthcare, Biosystems, New England Journal of Medicine and Medical Education.

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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