Jin Pan

583 citations
14 papers · 386 · h-index 11

Impact in

  • Genetics top 10%
    • Genetic diversity and population structure
    • Genetic and phenotypic traits in livestock
    • Genetic Mapping and Diversity in Plants and Animals
    • Forest ecology and management

Papers in

    • Genetic and phenotypic traits in livestock 6
    • Genetic diversity and population structure 5
    • Genetic Mapping and Diversity in Plants and Animals 2
    • Genomics and Phylogenetic Studies 4
    • RNA and protein synthesis mechanisms 1

Jin Pan

14 papers receiving 381 citations

Peers

Jin Pan
Comparison fields: 5 of 41
  • Genetics 222
  • Nature and Landscape Conservation 84
  • Ecological Modeling 23
  • Plant Science 146
  • Horticulture 3
Replace Betty Pelgas with:
Betty Pelgas Canada
U. Uzay Sezen United States
Pekka Vakkari Finland
Valérie Léger France
Ana I. de-Lucas Spain
María Jesús García-Pereira Spain
Tania Quesada United States
Paul Tilyard Australia
Jérémy Derory France
Satoshi Kikuchi Japan
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Citations per field
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Citations per year

Countries citing papers authored by Jin Pan

Since Specialization
Citations

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

Fields of papers citing papers by Jin Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 201873
2 200746
3 200741
4 202037
5 201832
6 200431
7 201430
8 202028
9 200921
10 201914
11 202112
12 20119
13 20087
14 20135

About Jin Pan

Jin Pan is a scholar working on Genetics, Molecular Biology, Plant Science, Nature and Landscape Conservation and Ecology, Evolution, Behavior and Systematics, having authored 14 papers that have together received 386 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (6 papers), Chromosomal and Genetic Variations (5 papers), Genetic diversity and population structure (5 papers), Genomics and Phylogenetic Studies (4 papers), Forest ecology and management (2 papers), Plant Disease Resistance and Genetics (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Genetics (222 citations), Nature and Landscape Conservation (84 citations), Ecological Modeling (23 citations), Plant Science (146 citations) and Horticulture (3 citations). Jin Pan has collaborated with scholars based in China, Sweden and Australia. Frequent co-authors include Daming Zhang, Tao Sang, Harry X. Wu, Zhiqiang Chen, John Baison, Jian‐Feng Mao, Xiaoru Wang, Wei Zhao, Johan Westin and María Rosario García‐Gil. Their work appears in journals such as Journal of Systematics and Evolution, BMC Genomics, Frontiers in Plant Science, Evolutionary Applications and BMC Evolutionary Biology.

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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