Roman Shusterman

1.6k citations
16 papers · 1.1k · h-index 11

Impact in

Papers in

Roman Shusterman

14 papers receiving 1.1k citations

Peers

Roman Shusterman
Comparison fields: 5 of 88
  • Sensory Systems 493
  • Cellular and Molecular Neuroscience 508
  • Endocrine and Autonomic Systems 109
  • Cognitive Neuroscience 262
  • Behavioral Neuroscience 42
Replace Takuya Osakada with:
Takuya Osakada United States
Vikrant Kapoor United States
Bernhard Englitz Netherlands
Robert C. Liu United States
Lukas Mesik United States
Jiří Popelář Czechia
Stephen D. Shea United States
Diego A. Laplagne Brazil
Nicolas Torquet France
David H. Brann United States
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Citations per field
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Citations per year

Countries citing papers authored by Roman Shusterman

Since Specialization
Citations

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

Fields of papers citing papers by Roman Shusterman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2011291
2 2016266
3 2011180
4 2004114
5 201952
6 201550
7 202033
8 201923
9 201822
10 200821
11 202110
12 20257
13 20216
14
Neural Coding of Perceived Odor Intensity 1,2,3
20151
15 20230
16 20190

About Roman Shusterman

Roman Shusterman is a scholar working on Sensory Systems, Cellular and Molecular Neuroscience, Biomedical Engineering, Cognitive Neuroscience and Molecular Biology, having authored 16 papers that have together received 1.1k indexed citations. Recurring topics across this work include Olfactory and Sensory Function Studies (9 papers), Neurobiology and Insect Physiology Research (8 papers), Advanced Chemical Sensor Technologies (4 papers), DNA and Nucleic Acid Chemistry (2 papers), Neural dynamics and brain function (2 papers), Nanopore and Nanochannel Transport Studies (2 papers), Nonlinear Photonic Systems (1 paper) and Human-Animal Interaction Studies (1 paper). The work is most often cited by research in Sensory Systems (493 citations), Cellular and Molecular Neuroscience (508 citations), Endocrine and Autonomic Systems (109 citations), Cognitive Neuroscience (262 citations) and Behavioral Neuroscience (42 citations). Roman Shusterman has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Dmitry Rinberg, Matthew C. Smear, Alexei A. Koulakov, Rodney P. O’Connor, Oleg Krichevsky, Thomas Bozza, Max Scheller, Lars‐Lennart Oettl, Wolfgang Kelsch and Yevgeniy B. Sirotin. Their work appears in journals such as eNeuro, Sleep Medicine, Neuron, Physical Review Letters and Nature.

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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