Ying Jing

9.6k citations
164 papers · 5.2k · h-index 42

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Oncology top 2%
    • Cancer Immunotherapy and Biomarkers

Papers in

    • RNA modifications and cancer 9
    • Advanced biosensing and bioanalysis techniques 7
    • RNA Research and Splicing 5
    • Cancer-related molecular mechanisms research 11
    • MicroRNA in disease regulation 8

Ying Jing

163 papers receiving 5.2k citations

Peers

Ying Jing
Comparison fields: 5 of 157
  • Cancer Research 654
  • Oncology 915
  • Immunology 642
  • Obstetrics and Gynecology 208
  • Molecular Biology 2.0k
Replace Dean Y. Li with:
Dean Y. Li United States
Attila Kovács Hungary
Martin Schreiber Austria
Manfred Boehm United States
Wolfram Jochum Switzerland
Wei Kong China
Frank J. Giordano United States
Yanli Zhang China
Jack P.M. Cleutjens Netherlands
Jutta Schaper Germany
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Citations per field
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Dean Y. Li · 1×
Citations per year

Countries citing papers authored by Ying Jing

Since Specialization
Citations

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

Fields of papers citing papers by Ying Jing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 164 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004351
2 2007201
3 2020173
4 2020134
5 2009111
6 2018108
7 2014103
8 2006102
9 200694
10 201391
11 202091
12 202286
13 201486
14 200186
15 201582
16 202181
17 201080
18 201479
19 202279
20 202377

About Ying Jing

Ying Jing is a scholar working on Molecular Biology, Cancer Research, Biomedical Engineering, Oncology and Surgery, having authored 164 papers that have together received 5.2k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (11 papers), RNA modifications and cancer (9 papers), MicroRNA in disease regulation (8 papers), Characterization and Applications of Magnetic Nanoparticles (8 papers), Magnetic properties of thin films (7 papers), Advanced biosensing and bioanalysis techniques (7 papers), Nanoparticle-Based Drug Delivery (6 papers) and RNA Research and Splicing (5 papers). The work is most often cited by research in Cancer Research (654 citations), Oncology (915 citations), Immunology (642 citations), Obstetrics and Gynecology (208 citations) and Molecular Biology (2.0k citations). Ying Jing has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Jian‐Ping Wang, Leng Han, Guanglei Zhuang, Lixia Diao, Pengfei Ma, Youqiong Ye, Yuanpeng Li, Andrew A. Protter, Irene Kerr and Gordon B. Mills. Their work appears in journals such as Protein & Cell, Nature Communications, Scientific Reports, Journal of Applied Physics and Biochemical and Biophysical Research Communications.

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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