Panlin Wang

409 citations
24 papers · 266 · h-index 11

Impact in

Papers in

    • Genetic and phenotypic traits in livestock 9
    • Genetic Mapping and Diversity in Plants and Animals 4
    • Animal Nutrition and Physiology 9
    • Livestock and Poultry Management 5

Panlin Wang

22 papers receiving 262 citations

Peers

Panlin Wang
Comparison fields: 5 of 55
  • Animal Science and Zoology 136
  • Reproductive Medicine 54
  • Genetics 91
  • Aquatic Science 22
  • Insect Science 27
Replace Yunhe Zong with:
Yunhe Zong China
E. Gómez-Izquierdo Spain
A.H. Zakaria Syria
Yupin Phasuk Thailand
Zhongyi Duan China
M. Occidente Italy
Rasoul Vaez Torshizi Iran
Chunhuan Ren China
G. Vonghia Italy
Mateusz Buzała Poland
Panlin Wang relative to Yunhe Zong China Yunhe Zong's profile →
Citations per field
00.5×
Yunhe Zong · 1×
Citations per year

Countries citing papers authored by Panlin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Panlin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202034
2 202030
3 202024
4 202024
5 202021
6 202017
7 201916
8 202114
9 202214
10 202213
11 202012
12 20246
13 20236
14 20216
15 20226
16 20234
17 20214
18 20204
19 20224
20 20243

About Panlin Wang

Panlin Wang is a scholar working on Genetics, Animal Science and Zoology, Cancer Research, Molecular Biology and Endocrine and Autonomic Systems, having authored 24 papers that have together received 266 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (9 papers), Animal Nutrition and Physiology (9 papers), Cancer-related molecular mechanisms research (6 papers), Livestock and Poultry Management (5 papers), Circadian rhythm and melatonin (4 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers), Sperm and Testicular Function (3 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Animal Science and Zoology (136 citations), Reproductive Medicine (54 citations), Genetics (91 citations), Aquatic Science (22 citations) and Insect Science (27 citations). Panlin Wang has collaborated with scholars based in China, Nigeria and Ethiopia. Frequent co-authors include Yunlei Li, Yanyan Sun, Jilan Chen, Aixin Ni, Hui Ma, Lei Shi, Yunhe Zong, Yuanmei Wang, Jingwei Yuan and Linlin Jiang. Their work appears in journals such as Poultry Science, Frontiers in Genetics, Animal Bioscience, Genes and Theriogenology.

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.

Explore authors with similar magnitude of impact