Jingbin Yan

1.3k citations
56 papers · 735 · h-index 15

Impact in

Papers in

    • CRISPR and Genetic Engineering 7
    • RNA modifications and cancer 4
    • Animal Genetics and Reproduction 10
    • Virus-based gene therapy research 7
    • Genetics and Neurodevelopmental Disorders 4

Jingbin Yan

55 papers receiving 715 citations

Peers

Jingbin Yan
Comparison fields: 5 of 115
  • Cancer Research 114
  • Genetics 187
  • Medical Laboratory Technology 10
  • Molecular Biology 426
  • Genetics 58
Replace Yusuf Özkul with:
Yusuf Özkul Türkiye
Muhammad Ajmal Pakistan
Xi Xiang China
Ke‐ita Tatsumi Japan
Emmanouil Athanasakis Italy
Laura Esposito United Kingdom
Patricia S. Walker United States
Shurjo K. Sen United States
Shaoling Yu China
Jingbin Yan relative to Yusuf Özkul Türkiye Yusuf Özkul's profile →
Citations per field
00.5×
Yusuf Özkul · 1×
Citations per year

Countries citing papers authored by Jingbin Yan

Since Specialization
Citations

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

Fields of papers citing papers by Jingbin Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200760
2 201557
3 202153
4 200745
5 201042
6 200638
7 200729
8 200628
9 201427
10 200627
11 201626
12 200821
13 201421
14 201717
15
[Molecular cloning and analysis of bovine prolactin full-long genomic as well as cDNA sequences].
200214
16 201213
17 201412
18 201112
19 201711
20 202111

About Jingbin Yan

Jingbin Yan is a scholar working on Molecular Biology, Genetics, Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health and Genetics, having authored 56 papers that have together received 735 indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (10 papers), Virus-based gene therapy research (7 papers), CRISPR and Genetic Engineering (7 papers), Cancer-related molecular mechanisms research (6 papers), Metabolism and Genetic Disorders (5 papers), Prenatal Screening and Diagnostics (5 papers), RNA modifications and cancer (4 papers) and Genetics and Neurodevelopmental Disorders (4 papers). The work is most often cited by research in Cancer Research (114 citations), Genetics (187 citations), Medical Laboratory Technology (10 citations), Molecular Biology (426 citations) and Genetics (58 citations). Jingbin Yan has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Jiajun Qiu, Zhaorui Ren, Yi‐Tao Zeng, Fanyi Zeng, Shu‐Zhen Huang, Shuzhen Huang, Miao Xu, Zhizhong Li, Fanyi Zeng and Can Xiong. Their work appears in journals such as Biotechnology Letters, International Journal of Industrial Ergonomics, Journal of Molecular Diagnostics, Human Gene Therapy and Molecules and Cells.

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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