Nobuo Suga

13.9k citations
200 papers · 12.2k · h-index 67

Impact in

Papers in

Nobuo Suga

192 papers receiving 11.5k citations

Peers

Nobuo Suga
Comparison fields: 5 of 137
  • Developmental Biology 4.2k
  • Sensory Systems 2.9k
  • Cognitive Neuroscience 6.4k
  • Ecology, Evolution, Behavior and Systematics 5.2k
  • Ecology 3.6k
Replace Masakazu Konishi with:
Masakazu Konishi United States
Henry E. Heffner United States
Henning Scheich Germany
George D. Pollak United States
Eric I. Knudsen United States
Rickye S. Heffner United States
John H. Casseday United States
Christiana M. Leonard United States
Ellen Covey United States
Lindsay Aitkin Australia
Nobuo Suga relative to Masakazu Konishi United States Masakazu Konishi's profile →
Citations per field
00.5×3.2×
Masakazu Konishi · 1×
Citations per year

Countries citing papers authored by Nobuo Suga

Since Specialization
Citations

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

Fields of papers citing papers by Nobuo Suga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 200 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003313
2 1994225
3 2000210
4 1979209
5 2000206
6 1997203
7 1983202
8 1965195
9 1979194
10 1982192
11 1998191
12 1998185
13 1978185
14 1976183
15 1996176
16 1968175
17 1975175
18 2002172
19 1990172
20 1971171

About Nobuo Suga

Nobuo Suga is a scholar working on Ecology, Evolution, Behavior and Systematics, Cognitive Neuroscience, Developmental Biology, Ecology and Cellular and Molecular Neuroscience, having authored 200 papers that have together received 12.2k indexed citations. Recurring topics across this work include Bat Biology and Ecology Studies (128 papers), Neural dynamics and brain function (90 papers), Animal Vocal Communication and Behavior (76 papers), Marine animal studies overview (67 papers), Neurobiology and Insect Physiology Research (40 papers), Hearing, Cochlea, Tinnitus, Genetics (15 papers), Neuroscience and Neuropharmacology Research (12 papers) and Animal Behavior and Reproduction (12 papers). The work is most often cited by research in Developmental Biology (4.2k citations), Sensory Systems (2.9k citations), Cognitive Neuroscience (6.4k citations), Ecology, Evolution, Behavior and Systematics (5.2k citations) and Ecology (3.6k citations). Nobuo Suga has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Xiaofeng Ma, Philip H.-S. Jen, Enquan Gao, Yasuji Katsuki, Jun Yan, Weiqing Ji, Jagmeet S. Kanwal, Yun Feng Zhang, William W. O’Neill and Peter Schlegel. Their work appears in journals such as Journal of Neurophysiology, The Journal of the Acoustical Society of America, Science, Proceedings of the National Academy of Sciences and Journal of Comparative Physiology A.

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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