Jing Ding

1.1k citations
37 papers · 883 · h-index 15

Impact in

Papers in

    • Metabolism, Diabetes, and Cancer 3
    • Circular RNAs in diseases 2
    • Natural product bioactivities and synthesis 2
    • Cancer-related molecular mechanisms research 5
    • MicroRNA in disease regulation 4

Jing Ding

37 papers receiving 870 citations

Peers

Jing Ding
Comparison fields: 5 of 92
  • Cancer Research 270
  • Applied Microbiology and Biotechnology 17
  • Molecular Biology 544
  • Geriatrics and Gerontology 14
  • Biomaterials 51
Replace Valentina Pileczki with:
Valentina Pileczki Romania
Longyu Jin China
Qiang Tong China
Wei‐Hao Sun China
Nathalie Bousquet-Gagnon Canada
Xiangxuan Zhao China
Ángeles Carlos‐Reyes Mexico
Mina Alimohammadi Iran
Jing Ding relative to Valentina Pileczki Romania Valentina Pileczki's profile →
Citations per field
00.5×2.8×
Valentina Pileczki · 1×
Citations per year

Countries citing papers authored by Jing Ding

Since Specialization
Citations

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

Fields of papers citing papers by Jing Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019182
2 201299
3 201980
4 201358
5 202251
6 201645
7 201437
8 201533
9 202031
10 201331
11 201923
12 201920
13 201820
14 201319
15 201616
16 201914
17 202112
18 201912
19 202212
20 201511

About Jing Ding

Jing Ding is a scholar working on Molecular Biology, Cancer Research, Oncology, Pathology and Forensic Medicine and Endocrinology, Diabetes and Metabolism, having authored 37 papers that have together received 883 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (5 papers), MicroRNA in disease regulation (4 papers), Metabolism, Diabetes, and Cancer (3 papers), interferon and immune responses (3 papers), Colorectal Cancer Treatments and Studies (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Circular RNAs in diseases (2 papers) and Natural product bioactivities and synthesis (2 papers). The work is most often cited by research in Cancer Research (270 citations), Applied Microbiology and Biotechnology (17 citations), Molecular Biology (544 citations), Geriatrics and Gerontology (14 citations) and Biomaterials (51 citations). Jing Ding has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Huae Xu, Wei‐Hao Sun, Hao Zhang, Xiaolin Li, Jiyan Liu, Yang Du, Zhibo Hou, Xinzheng Dai, Kai Zhang and Jiyan Liu. Their work appears in journals such as Frontiers in Endocrinology, Bioscience Reports, Protein Expression and Purification, European Journal of Cancer Prevention and The Oncologist.

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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