Shengkai Pan

11.2k citations
15 papers · 269 · h-index 8

Impact in

    • Species Distribution and Climate Change
    • Genetic diversity and population structure
    • High Altitude and Hypoxia
    • Genetic and phenotypic traits in livestock

Papers in

    • Avian ecology and behavior 3
    • Physiological and biochemical adaptations 3
    • Genetic diversity and population structure 3
    • High Altitude and Hypoxia 2

Shengkai Pan

14 papers receiving 267 citations

Peers

Shengkai Pan
Comparison fields: 5 of 68
  • Ecological Modeling 28
  • Genetics 126
  • Developmental Biology 8
  • Ecology 92
  • Ecology, Evolution, Behavior and Systematics 45
Replace Sergio F. Nigenda‐Morales with:
Sergio F. Nigenda‐Morales Mexico
Alva I. Strand United States
Guangji Chen China
C. Grace Sprehn United States
Madeleine Carruthers United Kingdom
Brendan J. Pinto United States
Bohao Fang China
Xiangjiang Zhan United Kingdom
Stefano Donegà United States
Ricardo Augusto Brassaloti Brazil
Shengkai Pan relative to Sergio F. Nigenda‐Morales Mexico Sergio F. Nigenda‐Morales's profile →
Citations per field
00.5×10.5×
Sergio F. Nigenda‐Morales · 1×
Citations per year

Countries citing papers authored by Shengkai Pan

Since Specialization
Citations

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

Fields of papers citing papers by Shengkai Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 201369
2 202162
3 201738
4 201922
5 201520
6 202218
7 202011
8 20218
9 20186
10 20145
11 20224
12 20252
13 20242
14 20212
15 20260

About Shengkai Pan

Shengkai Pan is a scholar working on Ecology, Genetics, Ecology, Evolution, Behavior and Systematics, Molecular Biology and Ecological Modeling, having authored 15 papers that have together received 269 indexed citations. Recurring topics across this work include Avian ecology and behavior (3 papers), Physiological and biochemical adaptations (3 papers), Genetic diversity and population structure (3 papers), High Altitude and Hypoxia (2 papers), Species Distribution and Climate Change (2 papers), Bat Biology and Ecology Studies (2 papers), Animal Behavior and Reproduction (1 paper) and RNA Research and Splicing (1 paper). The work is most often cited by research in Ecological Modeling (28 citations), Genetics (126 citations), Developmental Biology (8 citations), Ecology (92 citations) and Ecology, Evolution, Behavior and Systematics (45 citations). Shengkai Pan has collaborated with scholars based in China, United Kingdom and Russia. Frequent co-authors include Xiangjiang Zhan, Zhenzhen Lin, Hu Li, Michael W. Bruford, Zhaobao Wang, Caiyun Gou, Jinyang Zhao, Yuanyuan Hui, Rongjun He and Shan‐Shan Dong. Their work appears in journals such as Nature Communications, Molecular Biology and Evolution, Genome biology, Nature and Avian 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.

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