Jing Hang

2.1k citations
40 papers · 1.4k · h-index 20

Impact in

    • RNA Research and Splicing
    • RNA modifications and cancer
    • RNA and protein synthesis mechanisms
    • Molecular Biology Techniques and Applications

Papers in

    • RNA Research and Splicing 6
    • RNA and protein synthesis mechanisms 4
    • Molecular Biology Techniques and Applications 3
    • RNA modifications and cancer 3
    • Forensic and Genetic Research 4
    • Genetic diversity and population structure 3

Jing Hang

39 papers receiving 1.4k citations

Peers

Jing Hang
Comparison fields: 5 of 106
  • Structural Biology 44
  • Molecular Biology 923
  • Developmental Neuroscience 30
  • Reproductive Medicine 58
  • Cancer Research 93
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Jing Hang relative to Jeremy Sanderson United Kingdom Jeremy Sanderson's profile →
Citations per field
00.5×
Jeremy Sanderson · 1×
Citations per year

Countries citing papers authored by Jing Hang

Since Specialization
Citations

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

Fields of papers citing papers by Jing Hang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015278
2 2017198
3 2015153
4 201377
5 201373
6 201772
7 201748
8 202345
9 202341
10 202038
11 202033
12 201533
13 201328
14 201028
15 202127
16
Association between 5-hydroxytryptamine transporter gene-linked polymorphic region and smoking behavior in Chinese males.
200924
17 202424
18 202023
19 202022
20 202119

About Jing Hang

Jing Hang is a scholar working on Molecular Biology, Genetics, Health, Toxicology and Mutagenesis, Rheumatology and Reproductive Medicine, having authored 40 papers that have together received 1.4k indexed citations. Recurring topics across this work include RNA Research and Splicing (6 papers), Forensic and Genetic Research (4 papers), RNA and protein synthesis mechanisms (4 papers), Genetic diversity and population structure (3 papers), Molecular Biology Techniques and Applications (3 papers), RNA modifications and cancer (3 papers), Indoor Air Quality and Microbial Exposure (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Structural Biology (44 citations), Molecular Biology (923 citations), Developmental Neuroscience (30 citations), Reproductive Medicine (58 citations) and Cancer Research (93 citations). Jing Hang has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Chuangye Yan, Yigong Shi, Ruixue Wan, Catherine C. L. Wong, Min Huang, Xiaofeng Zhang, Jianlin Lei, Lorenzo I. Finci, Jie Qiao and Ping Yin. Their work appears in journals such as Science, Electrophoresis, Occupational and Environmental Medicine, Scientific Reports and Fertility and Sterility.

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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