Michael E. Geusz

1.4k citations
40 papers · 914 · h-index 15

Impact in

Papers in

Michael E. Geusz

40 papers receiving 884 citations

Peers

Michael E. Geusz
Comparison fields: 5 of 81
  • Endocrine and Autonomic Systems 566
  • Aging 73
  • Cellular and Molecular Neuroscience 374
  • Molecular Medicine 59
  • Developmental Neuroscience 26
Replace Christine F. Morrison with:
Christine F. Morrison United Kingdom
Chang Man Ha South Korea
Marie‐Paule Felder‐Schmittbuhl France
Aurnab Ghose India
Zhitao Hu United States
Jacob A. Berry United States
Rajesh Narasimamurthy Singapore
Ko‐Fan Chen United Kingdom
Eva Teuling Netherlands
Lori J. Lorenz United States
Michael E. Geusz relative to Christine F. Morrison United Kingdom Christine F. Morrison's profile →
Citations per field
00.5×2×2.7×
Christine F. Morrison · 1×
Citations per year

Countries citing papers authored by Michael E. Geusz

Since Specialization
Citations

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

Fields of papers citing papers by Michael E. Geusz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael E. Geusz. 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 Michael E. Geusz. The network helps show where Michael E. Geusz may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993181
2 1997114
3 201558
4 201356
5 201252
6 199743
7 200142
8 200331
9 202027
10 201625
11 199425
12 201324
13 201523
14 200515
15 200914
16 200614
17 201214
18 199414
19 199213
20 200813

About Michael E. Geusz

Michael E. Geusz is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience, Molecular Biology, Physiology and Molecular Medicine, having authored 40 papers that have together received 914 indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (26 papers), Photoreceptor and optogenetics research (15 papers), Spaceflight effects on biology (8 papers), Neurobiology and Insect Physiology Research (7 papers), bioluminescence and chemiluminescence research (6 papers), Curcumin's Biomedical Applications (5 papers), Light effects on plants (3 papers) and Retinal Development and Disorders (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (566 citations), Aging (73 citations), Cellular and Molecular Neuroscience (374 citations), Molecular Medicine (59 citations) and Developmental Neuroscience (26 citations). Michael E. Geusz has collaborated with scholars based in United States, Sri Lanka and Japan. Frequent co-authors include Gene D. Block, Roudabeh J. Jamasbi, Stephan Michel, Joshua J. Zaritsky, Taghreed N. Almanaa, Erik D. Herzog, Martin Straume, Sat Bir S. Khalsa, Roman V. Kondratov and Anne Collaco. Their work appears in journals such as Brain Research, PLoS ONE, Neuroreport, Journal of Cancer and Anti-Cancer Agents in Medicinal Chemistry.

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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