Aung Si

34 papers receiving 858 citations

Peers

Aung Si
Comparison fields: 5 of 93
  • Ecology, Evolution, Behavior and Systematics 388
  • Cellular and Molecular Neuroscience 316
  • Statistics and Probability 121
  • Insect Science 166
  • Genetics 344
Replace Scarlett R. Howard with:
Scarlett R. Howard Australia
Jair E. García Australia
Mario Pahl Germany
Karl Geiger Germany
Peter Skorupski United Kingdom
Matthias Wittlinger Germany
Catherine Plowright Canada
Guy Beugnon France
P. A. Couvillon United States
Juergen Tautz Australia
Aung Si relative to Scarlett R. Howard Australia Scarlett R. Howard's profile →
Citations per field
00.5×10×13.3×
Scarlett R. Howard · 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 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009153
2 2005101
3 200482
4 200777
5 201366
6 200366
7 200361
8 200540
9 200833
10 201229
11 200223
12 201121
13 201218
14 201516
15 200914
16 202111
17 202011
18 201511
19 200010
20
Biology in Language Documentation
20119

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 37 papers that have together received 899 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, Discourse, Communication Strategies (3 papers), Wildlife Ecology and Conservation (3 papers), Language and cultural evolution (3 papers) and Multilingual Education and Policy (3 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (388 citations), Cellular and Molecular Neuroscience (316 citations), Statistics and Probability (121 citations), Insect Science (166 citations) and Genetics (344 citations). Aung Si has collaborated with scholars based in Australia, Germany and India. Frequent co-authors include Shaowu Zhang, Mario Pahl, Mandyam V. Srinivasan, Ryszard Maleszka, Juergen Tautz, Jürgen Tautz, Hong Zhu, Hans Groß, Paul Helliwell and Ken Cheng. Their work appears in journals such as Journal of Ethnobiology, International Journal of Bilingualism, Journal of Ethnobiology and Ethnomedicine, PLoS ONE and Language documentation and conservation.

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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