Junjing Wu

452 citations
28 papers · 307 · h-index 11

Impact in

    • Animal Virus Infections Studies
    • Meat and Animal Product Quality
    • Animal Nutrition and Physiology
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

    • RNA Interference and Gene Delivery 2
    • Genetic and phenotypic traits in livestock 5
    • Genetic Mapping and Diversity in Plants and Animals 5

Junjing Wu

24 papers receiving 303 citations

Peers

Junjing Wu
Comparison fields: 5 of 63
  • Animal Science and Zoology 97
  • Cancer Research 73
  • Nephrology 24
  • Genetics 86
  • Aging 3
Replace Kaifeng Guan with:
Kaifeng Guan China
Xiaoping Li China
Pengli Xu China
Qinglan Yang China
Yunliang Jiang China
Hongwei Xiao China
Mio Kikuchi Japan
Frank J. Müller Germany
Bhuwan Khatri United States
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Citations per field
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Kaifeng Guan · 1×
Citations per year

Countries citing papers authored by Junjing Wu

Since Specialization
Citations

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

Fields of papers citing papers by Junjing Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202153
2 201437
3 202232
4 201130
5 202120
6 201420
7 202318
8 202115
9 202114
10 201912
11 201311
12 20199
13 20146
14 20235
15 20235
16 20245
17 20243
18 20163
19 20242
20 20242

About Junjing Wu

Junjing Wu is a scholar working on Molecular Biology, Genetics, Animal Science and Zoology, Cancer Research and Immunology, having authored 28 papers that have together received 307 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (5 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers), Animal Virus Infections Studies (4 papers), interferon and immune responses (3 papers), Meat and Animal Product Quality (3 papers), Cancer-related molecular mechanisms research (3 papers), Sperm and Testicular Function (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Animal Science and Zoology (97 citations), Cancer Research (73 citations), Nephrology (24 citations), Genetics (86 citations) and Aging (3 citations). Junjing Wu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Shuqi Mei, Xianwen Peng, Mu Qiao, Jiawei Zhou, Zhong Xu, Yu Zhang, Huayu Wu, Shujun Zhang, Ao Zhou and Guisheng Liu. Their work appears in journals such as International Journal of Molecular Sciences, BMC Genomics, Animal Genetics, Molecular Cell and Gene.

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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