Suning Liu

1.1k citations
29 papers · 742 · h-index 13

Impact in

Papers in

Suning Liu

29 papers receiving 740 citations

Peers

Suning Liu
Comparison fields: 5 of 68
  • Insect Science 257
  • Cellular and Molecular Neuroscience 353
  • Aging 19
  • Genetics 242
  • Ecology, Evolution, Behavior and Systematics 125
Replace Zhentao Sheng with:
Zhentao Sheng United States
Jean‐Philippe Charles France
Manabu Oté Japan
Sofie Van Soest Belgium
Josefa Cruz Spain
Vlastimil Smýkal Czechia
Barbora Konopová Czechia
Xiaofeng Zhou United States
Zhongxia Wu China
Ivana Daubnerová Slovakia
Suning Liu relative to Zhentao Sheng United States Zhentao Sheng's profile →
Citations per field
00.5×2.8×
Zhentao Sheng · 1×
Citations per year

Countries citing papers authored by Suning Liu

Since Specialization
Citations

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

Fields of papers citing papers by Suning Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017177
2 2018121
3 202159
4 202057
5 202248
6 202133
7 201832
8 201926
9 201725
10 201422
11 202117
12 201615
13 202214
14 201911
15 201611
16 201710
17 20229
18 20249
19 20248
20 20227

About Suning Liu

Suning Liu is a scholar working on Cellular and Molecular Neuroscience, Genetics, Molecular Biology, Ecology, Evolution, Behavior and Systematics and Insect Science, having authored 29 papers that have together received 742 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (18 papers), Insect and Arachnid Ecology and Behavior (9 papers), Developmental Biology and Gene Regulation (5 papers), Insect Utilization and Effects (3 papers), Animal Behavior and Reproduction (3 papers), Hippo pathway signaling and YAP/TAZ (3 papers), Invertebrate Immune Response Mechanisms (3 papers) and Insects and Parasite Interactions (2 papers). The work is most often cited by research in Insect Science (257 citations), Cellular and Molecular Neuroscience (353 citations), Aging (19 citations), Genetics (242 citations) and Ecology, Evolution, Behavior and Systematics (125 citations). Suning Liu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Sheng Li, Qili Feng, Kang Li, Subba Reddy Palli, Yue Gao, Wei-Ting Chen, Wei Ge, Xi Liu, Xiaoshuai Zhang and Dong‐Wei Yuan. Their work appears in journals such as Proceedings of the National Academy of Sciences, Insect Science, Insect Biochemistry and Molecular Biology, Nature Communications and Frontiers in Physiology.

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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