Jingbin Yan

1.0k citations
62 papers · 805 · h-index 15

Impact in

Papers in

    • CRISPR and Genetic Engineering 9
    • Pluripotent Stem Cells Research 5
    • Epigenetics and DNA Methylation 4
    • Animal Genetics and Reproduction 10
    • Virus-based gene therapy research 7

Jingbin Yan

61 papers receiving 785 citations

Peers

Jingbin Yan
Comparison fields: 5 of 115
  • Cancer Research 108
  • Genetics 168
  • Molecular Biology 397
  • Medical Laboratory Technology 8
  • Genetics 49
Replace Kari Bente Foss Haug with:
Kari Bente Foss Haug Norway
Joseph T. Newsome United States
Guoqing Chen China
Shuai Chen China
Lenaldo Branco Rocha Brazil
Pasquale Bandiera Italy
Hadi Bayat Iran
Soumya Pati India
Daping Yang China
Jingbin Yan relative to Kari Bente Foss Haug Norway Kari Bente Foss Haug's profile →
Citations per field
00.5×3.4×
Kari Bente Foss Haug · 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 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200760
2 202157
3 201557
4 200745
5 201042
6 201841
7 200638
8 200729
9 200628
10 200627
11 201427
12 201626
13 200821
14 201421
15 201717
16 202314
17
[Molecular cloning and analysis of bovine prolactin full-long genomic as well as cDNA sequences].
200214
18 201213
19 201112
20 201712

About Jingbin Yan

Jingbin Yan is a scholar working on Molecular Biology, Genetics, Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health and Electrical and Electronic Engineering, having authored 62 papers that have together received 805 indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (10 papers), CRISPR and Genetic Engineering (9 papers), Virus-based gene therapy research (7 papers), Cancer-related molecular mechanisms research (5 papers), Pluripotent Stem Cells Research (5 papers), Epigenetics and DNA Methylation (4 papers), Prenatal Screening and Diagnostics (4 papers) and Metabolism and Genetic Disorders (4 papers). The work is most often cited by research in Cancer Research (108 citations), Genetics (168 citations), Molecular Biology (397 citations), Medical Laboratory Technology (8 citations) and Genetics (49 citations). Jingbin Yan has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Jiajun Qiu, Zhaorui Ren, Yi‐Tao Zeng, Fanyi Zeng, Shu‐Zhen Huang, Shuzhen Huang, Li Yang, Qinghua Tian, Miao Xu and Zhizhong Li. Their work appears in journals such as Biotechnology Letters, Journal of Molecular Diagnostics, Stem Cell Research, International Journal of Industrial Ergonomics and European Journal of Pediatrics.

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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