Aung Si

36 papers receiving 942 citations

Peers

Aung Si
Comparison fields: 5 of 97
  • Ecology, Evolution, Behavior and Systematics 420
  • Cellular and Molecular Neuroscience 354
  • Statistics and Probability 129
  • Insect Science 180
  • Genetics 367
Replace Jair E. García with:
Jair E. García Australia
Scarlett R. Howard Australia
Mario Pahl Germany
Karl Geiger Germany
Matthias Wittlinger Germany
Peter Skorupski United Kingdom
Aurore Avarguès‐Weber France
Guy Beugnon France
P. A. Couvillon United States
Karen L. Hollis United States
Aung Si relative to Jair E. García Australia Jair E. García's profile →
Citations per field
00.5×1.5×1.8×
Jair E. García · 1×
Citations per year

Countries citing papers authored by Aung Si

Since Specialization
Citations

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

Fields of papers citing papers by Aung Si

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Aung Si, 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 Aung Si Line = papers co-authored together Aung Si 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 2009163
2 2005121
3 2004112
4 200780
5 201373
6 200373
7 200372
8 200541
9 200839
10 201233
11 201125
12 200225
13 201220
14 201517
15 200914
16 200013
17 202012
18 201512
19 202111
20
Biology in Language Documentation
201111

About Aung Si

Aung Si is a scholar working on Ecology, Evolution, Behavior and Systematics, Cellular and Molecular Neuroscience, Ecology, Social Psychology and Language and Linguistics, having authored 40 papers that have together received 1.0k indexed citations. Recurring topics across this work include Plant and animal studies (10 papers), Neurobiology and Insect Physiology Research (8 papers), Animal and Plant Science Education (6 papers), Insect and Arachnid Ecology and Behavior (5 papers), Language and cultural evolution (4 papers), Language, Discourse, Communication Strategies (3 papers), Wildlife Ecology and Conservation (3 papers) and Multilingual Education and Policy (3 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (420 citations), Cellular and Molecular Neuroscience (354 citations), Statistics and Probability (129 citations), Insect Science (180 citations) and Genetics (367 citations). Aung Si has collaborated with scholars based in Australia, Germany and India. Frequent co-authors include Shaowu Zhang, Mandyam V. Srinivasan, Mario Pahl, Juergen Tautz, Ryszard Maleszka, Jürgen Tautz, Hong Zhu, Hans Groß, Paul Helliwell and Ken Cheng. Their work appears in journals such as International Journal of Bilingualism, Journal of Ethnobiology, Journal of Ethnobiology and Ethnomedicine, Australian Journal of Linguistics and Pharmacology Biochemistry and Behavior.

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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