Rena Orman

983 citations
30 papers · 731 · h-index 15

Impact in

Papers in

Rena Orman

30 papers receiving 720 citations

Peers

Rena Orman
Comparison fields: 5 of 90
  • Behavioral Neuroscience 64
  • Endocrine and Autonomic Systems 104
  • Cellular and Molecular Neuroscience 277
  • Cognitive Neuroscience 215
  • Urology 71
Replace D.M. Nance with:
D.M. Nance Canada
Bengt T. Fundín Sweden
Masato Mitome Japan
I. Daou United States
Teizo Ueyama Japan
Keiko Takanami Japan
Cláudio Aparecido Casatti Brazil
Tadao Matsuura Japan
O Johansson Sweden
D. Andrew United States
Rena Orman relative to D.M. Nance Canada D.M. Nance's profile →
Citations per field
00.5×6.9×
D.M. Nance · 1×
Citations per year

Countries citing papers authored by Rena Orman

Since Specialization
Citations

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

Fields of papers citing papers by Rena Orman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200399
2 200875
3 199468
4 201665
5 201861
6 201746
7 200938
8 201736
9 200928
10 201328
11 199726
12 200622
13 201516
14 201316
15 201615
16 200814
17 200514
18 201610
19 201010
20 19978

About Rena Orman

Rena Orman is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, Ecology, Evolution, Behavior and Systematics and Cardiology and Cardiovascular Medicine, having authored 30 papers that have together received 731 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (14 papers), Neural dynamics and brain function (8 papers), Memory and Neural Mechanisms (7 papers), Bat Biology and Ecology Studies (5 papers), Heart Rate Variability and Autonomic Control (4 papers), Stress Responses and Cortisol (3 papers), Functional Brain Connectivity Studies (3 papers) and Mesenchymal stem cell research (2 papers). The work is most often cited by research in Behavioral Neuroscience (64 citations), Endocrine and Autonomic Systems (104 citations), Cellular and Molecular Neuroscience (277 citations), Cognitive Neuroscience (215 citations) and Urology (71 citations). Rena Orman has collaborated with scholars based in United States, Japan and Australia. Frequent co-authors include Mark Stewart, Sheryl S. Smith, Maria Gulinello, Jason Lazar, Richard Kollmar, Victor P. Terranova, Fusanori Nishimura, Kiyomi Koizumi, William W. Lytton and Girija Bhargava. Their work appears in journals such as Autonomic Neuroscience, Epilepsy Research, Journal of Dental Research, Epilepsia and The Journal of Comparative Neurology.

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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