Xiaopeng Wang

466 citations
18 papers · 315 · h-index 10

Impact in

  • Genetics top 10%
    • Genetic Mapping and Diversity in Plants and Animals
    • Genetic and phenotypic traits in livestock
    • Cancer-related molecular mechanisms research

Papers in

    • Genetic Mapping and Diversity in Plants and Animals 13
    • Genetic and phenotypic traits in livestock 9
    • Forensic and Genetic Research 1
    • Yersinia bacterium, plague, ectoparasites research 1
    • Cancer-related molecular mechanisms research 8

Xiaopeng Wang

18 papers receiving 311 citations

Peers

Xiaopeng Wang
Comparison fields: 5 of 30
  • Genetics 261
  • Cancer Research 83
  • Animal Science and Zoology 50
  • Agronomy and Crop Science 41
  • Plant Science 125
Replace Andressa Oliveira de Lima with:
Andressa Oliveira de Lima Brazil
Elisa Marques Canada
B. Rejduch Poland
J. Hetzel Australia
D. Kolbehdari Canada
A. N. Rosa Brazil
Masoumeh Naserkheil South Korea
Bianca Ferreira Olivieri Brazil
Rabia Letaïef France
Diogo Anastácio Garcia Brazil
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Citations per field
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Andressa Oliveira de Lima · 1×
Citations per year

Countries citing papers authored by Xiaopeng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaopeng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 201074
2 201843
3 202032
4 201322
5 201120
6 201920
7 202018
8 201918
9 202218
10 202214
11 20187
12 20226
13 20225
14 20165
15 20174
16 20194
17 20233
18 20212

About Xiaopeng Wang

Xiaopeng Wang is a scholar working on Genetics, Cancer Research, Plant Science, Molecular Biology and Pharmacology, having authored 18 papers that have together received 315 indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (13 papers), Genetic and phenotypic traits in livestock (9 papers), Cancer-related molecular mechanisms research (8 papers), Genetics and Plant Breeding (3 papers), Plant nutrient uptake and metabolism (2 papers), Forensic and Genetic Research (1 paper), Wheat and Barley Genetics and Pathology (1 paper) and Yersinia bacterium, plague, ectoparasites research (1 paper). The work is most often cited by research in Genetics (261 citations), Cancer Research (83 citations), Animal Science and Zoology (50 citations), Agronomy and Crop Science (41 citations) and Plant Science (125 citations). Xiaopeng Wang has collaborated with scholars based in China. Frequent co-authors include Yanchen Tian, Zeli Wang, Meng Li, Jun Ren, Min Zhang, Guodong Zhang, Xiaohong Guo, Guodong Zhang, Guixin Li and Pan Xu. Their work appears in journals such as Frontiers in Genetics, Frontiers in Veterinary Science, Journal of Animal Science, Journal of Animal Breeding and Genetics and Theoretical and Applied Genetics.

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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