Songkun Su

2.0k citations
72 papers · 1.4k · h-index 23

Impact in

Papers in

    • Insect and Pesticide Research 55
    • Bee Products Chemical Analysis 17
    • Insect-Plant Interactions and Control 2
    • Insect and Arachnid Ecology and Behavior 48

Songkun Su

70 papers receiving 1.3k citations

Peers

Songkun Su
Comparison fields: 5 of 91
  • Insect Science 1.1k
  • Ecology, Evolution, Behavior and Systematics 652
  • Genetics 767
  • Cellular and Molecular Neuroscience 180
  • Pharmacology 110
Replace Aneta Strachecka with:
Aneta Strachecka Poland
Sampat Ghosh South Korea
Simona Sagona Italy
N. Kirk Hillier Canada
Osman Kaftanoğlu United States
Yaacov Lensky Israel
Julie A. Mustard United States
Richard Ian Samuels Brazil
Walter G. Goodman United States
Nunzio Isidoro Italy
Songkun Su relative to Aneta Strachecka Poland Aneta Strachecka's profile →
Citations per field
00.5×3.9×
Aneta Strachecka · 1×
Citations per year

Countries citing papers authored by Songkun Su

Since Specialization
Citations

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

Fields of papers citing papers by Songkun Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201475
2 201971
3 201269
4 202260
5 201358
6 201355
7 201354
8 201651
9 202247
10 201646
11 201941
12 200833
13 201732
14 202031
15 201731
16 200228
17 202027
18 200526
19 201625
20 200524

About Songkun Su

Songkun Su is a scholar working on Insect Science, Genetics, Ecology, Evolution, Behavior and Systematics, Cellular and Molecular Neuroscience and Molecular Biology, having authored 72 papers that have together received 1.4k indexed citations. Recurring topics across this work include Insect and Pesticide Research (55 papers), Insect and Arachnid Ecology and Behavior (48 papers), Plant and animal studies (37 papers), Bee Products Chemical Analysis (17 papers), Neurobiology and Insect Physiology Research (15 papers), Healthcare and Venom Research (4 papers), Plant and Fungal Interactions Research (2 papers) and Insect-Plant Interactions and Control (2 papers). The work is most often cited by research in Insect Science (1.1k citations), Ecology, Evolution, Behavior and Systematics (652 citations), Genetics (767 citations), Cellular and Molecular Neuroscience (180 citations) and Pharmacology (110 citations). Songkun Su has collaborated with scholars based in China, Australia and France. Frequent co-authors include Shenglu Chen, Zhiguo Li, Shaowu Zhang, Wenfeng Li, Hongyi Nie, Yanping Chen, Yan Lin, Martín Giurfa, María Gabriela de Brito Sanchez and Boxiong Zhong. Their work appears in journals such as Insects, PLoS ONE, Apidologie, Journal of Apicultural Research and Journal of Agricultural and Food Chemistry.

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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