Yufeng Pan

2.2k citations
44 papers · 1.3k · h-index 18

Impact in

Papers in

    • Neurobiology and Insect Physiology Research 30
    • Neuroscience and Neural Engineering 2
    • Insect and Arachnid Ecology and Behavior 20
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 5

Yufeng Pan

41 papers receiving 1.3k citations

Peers

Yufeng Pan
Comparison fields: 5 of 82
  • Cellular and Molecular Neuroscience 950
  • Aging 64
  • Ecology, Evolution, Behavior and Systematics 501
  • Insect Science 266
  • Genetics 593
Replace Suewei Lin with:
Suewei Lin Taiwan
Devanand S. Manoli United States
Pierre-Yves Plaçais France
Reza Azanchi United States
Quan Yuan United States
Thomas O. Auer Switzerland
Jai Y. Yu United States
Karla R. Kaun United States
Haojiang Luan United States
László Tirián Austria
Yufeng Pan relative to Suewei Lin Taiwan Suewei Lin's profile →
Citations per field
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Citations per year

Countries citing papers authored by Yufeng Pan

Since Specialization
Citations

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

Fields of papers citing papers by Yufeng Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yufeng Pan, 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 Yufeng Pan Line = papers co-authored together Yufeng Pan 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 2009148
2 2014133
3 2012102
4 200893
5 202086
6 202184
7 201878
8 201176
9 201773
10 201470
11 201954
12 200927
13 201827
14 201827
15 201923
16 202120
17 202219
18 202219
19 202117
20 202116

About Yufeng Pan

Yufeng Pan is a scholar working on Cellular and Molecular Neuroscience, Genetics, Ecology, Evolution, Behavior and Systematics, Molecular Biology and Plant Science, having authored 44 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (30 papers), Insect and Arachnid Ecology and Behavior (20 papers), Animal Behavior and Reproduction (18 papers), Plant Molecular Biology Research (5 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (5 papers), Invertebrate Immune Response Mechanisms (3 papers), Circadian rhythm and melatonin (3 papers) and Neuroscience and Neural Engineering (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (950 citations), Aging (64 citations), Ecology, Evolution, Behavior and Systematics (501 citations), Insect Science (266 citations) and Genetics (593 citations). Yufeng Pan has collaborated with scholars based in China, Bangladesh and United States. Frequent co-authors include Bruce S. Baker, Geoffrey W Meissner, Carmen C. Robinett, Zhefeng Gong, Chao Guo, Li Liu, Haiyun Gong, Chuan Zhou, Yanqiong Zhou and Jie Chen. Their work appears in journals such as Neuroscience Bulletin, Proceedings of the National Academy of Sciences, Nature Communications, Learning & Memory and eLife.

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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