Guiling Ding

39 papers receiving 448 citations

Peers

Guiling Ding
Comparison fields: 5 of 47
  • Insect Science 281
  • Ecology, Evolution, Behavior and Systematics 288
  • Genetics 243
  • Ecological Modeling 24
  • Microbiology 13
Replace Ashraf Tayeh with:
Ashraf Tayeh France
Eduardo I. Faúndez Chile
Lauri Mikonranta Finland
Jeffery R. Powell United States
Julie K. Stahlhut United States
Wei Song Hwang United States
Romain Pigeault France
J. W. Wekesa United States
Mohamed M. Traore Mali
Nina Hafer Germany
Guiling Ding relative to Ashraf Tayeh France Ashraf Tayeh's profile →
Citations per field
00.5×5.3×
Ashraf Tayeh · 1×
Citations per year

Countries citing papers authored by Guiling Ding

Since Specialization
Citations

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

Fields of papers citing papers by Guiling Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201649
2 201647
3 201934
4 201428
5 201723
6 201918
7 201218
8 201117
9 201817
10 201216
11 202014
12 201013
13 201913
14 201913
15 202412
16 202112
17 202211
18 201811
19 20228
20 20238

About Guiling Ding

Guiling Ding is a scholar working on Ecology, Evolution, Behavior and Systematics, Insect Science, Genetics, Epidemiology and Sociology and Political Science, having authored 44 papers that have together received 454 indexed citations. Recurring topics across this work include Plant and animal studies (34 papers), Insect and Pesticide Research (31 papers), Insect and Arachnid Ecology and Behavior (28 papers), Sex work and related issues (5 papers), HIV, Drug Use, Sexual Risk (5 papers), Species Distribution and Climate Change (4 papers), Neurobiology and Insect Physiology Research (3 papers) and HIV/AIDS Research and Interventions (3 papers). The work is most often cited by research in Insect Science (281 citations), Ecology, Evolution, Behavior and Systematics (288 citations), Genetics (243 citations), Ecological Modeling (24 citations) and Microbiology (13 citations). Guiling Ding has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Jiaxing Huang, Benjamin P. Oldroyd, Rosalyn Gloag, Jiandong An, Gabriele Buchmann, Joshua R. Christie, Muhammad Naeem, Madeleine Beekman, Xu Han and Chuleui Jung. Their work appears in journals such as Apidologie, Insects, International Journal of STD & AIDS, Frontiers in Ecology and Evolution and Journal of Apicultural Research.

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.

Explore authors with similar magnitude of impact