Maria Comas

27 papers receiving 918 citations

Peers

Maria Comas
Comparison fields: 5 of 99
  • Endocrine and Autonomic Systems 575
  • Aging 95
  • Biological Psychiatry 38
  • Experimental and Cognitive Psychology 154
  • Physiology 281
Replace Hong Su with:
Hong Su China
Yoichi Minami Japan
Anita Jagota India
Lorena Aguilar‐Arnal Mexico
Ngalla Jillani Kenya
David D. Xiong United States
Athena Voultsios Australia
Alison H. Affinati United States
Patrick W. Sheehan United States
Meltem Weger Germany
Maria Comas relative to Hong Su China Hong Su's profile →
Citations per field
00.5×1.5×
Hong Su · 1×
Citations per year

Countries citing papers authored by Maria Comas

Since Specialization
Citations

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

Fields of papers citing papers by Maria Comas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012259
2 201296
3 200691
4 202186
5 201751
6 201647
7 201130
8 200726
9 200823
10 202123
11 200921
12 201921
13 201921
14 202120
15 200919
16 201816
17 201815
18 201411
19 20229
20 20228

About Maria Comas

Maria Comas is a scholar working on Endocrine and Autonomic Systems, Experimental and Cognitive Psychology, Physiology, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 27 papers that have together received 927 indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (20 papers), Sleep and related disorders (10 papers), Sleep and Wakefulness Research (7 papers), Neurobiology and Insect Physiology Research (5 papers), Light effects on plants (4 papers), Spaceflight effects on biology (3 papers), Sleep and Work-Related Fatigue (3 papers) and Dietary Effects on Health (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (575 citations), Aging (95 citations), Biological Psychiatry (38 citations), Experimental and Cognitive Psychology (154 citations) and Physiology (281 citations). Maria Comas has collaborated with scholars based in Australia, United States and Netherlands. Frequent co-authors include Serge Daan, Marina P. Antoch, Karen K. Kuropatwinski, Andrei V. Gudkov, Domien G. M. Beersma, Kamiel Spoelstra, Ronald R. Grunstein, Christopher J. Gordon, Mary L. Spengler and Natalia Fedtsova. Their work appears in journals such as Journal of Biological Rhythms, Chronobiology International, Sleep Medicine Reviews, Journal of Pineal Research and Nanoscale Advances.

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