Shuo Ding

499 citations
29 papers · 364 · h-index 12

Impact in

Papers in

    • Photosynthetic Processes and Mechanisms 6
    • Mitochondrial Function and Pathology 4
    • RNA and protein synthesis mechanisms 3
    • CRISPR and Genetic Engineering 2

Shuo Ding

22 papers receiving 359 citations

Peers

Shuo Ding
Comparison fields: 5 of 74
  • Cancer Research 61
  • Energy Engineering and Power Technology 11
  • Molecular Biology 213
  • Otorhinolaryngology 11
  • Plant Science 72
Replace Mengqi Chang with:
Mengqi Chang China
Hamed Ebrahimnejad Iran
Mengran Jin China
Marília H. Cordeiro Portugal
Shiuhyang Kuo United States
Serina M. Mazzoni United States
Meysam Ganjibakhsh Iran
Qiyuan Wang China
Donghong Lin China
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Citations per field
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Citations per year

Countries citing papers authored by Shuo Ding

Since Specialization
Citations

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

Fields of papers citing papers by Shuo Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201763
2 201653
3 201740
4 201929
5 202322
6
NLR, PLR, LMR and MWR as diagnostic and prognostic markers for laryngeal carcinoma
202222
7 202020
8 201719
9
Significance of MMP11 and P14(ARF) expressions in clinical outcomes of patients with laryngeal cancer.
201518
10 201917
11 202311
12 201111
13 202011
14 202410
15 20245
16 20184
17
Anti-CD200 attenuates concanavalin A induced hepatitis via modulating the imbalance of CD4+ T lymphocyte differentiation in mice.
20183
18 20222
19 20171
20 20251

About Shuo Ding

Shuo Ding is a scholar working on Molecular Biology, Cancer Research, Surgery, Otorhinolaryngology and Oncology, having authored 29 papers that have together received 364 indexed citations. Recurring topics across this work include Photosynthetic Processes and Mechanisms (6 papers), Mitochondrial Function and Pathology (4 papers), Head and Neck Cancer Studies (4 papers), Thermodynamic and Exergetic Analyses of Power and Cooling Systems (4 papers), RNA and protein synthesis mechanisms (3 papers), Hybrid Renewable Energy Systems (3 papers), CRISPR and Genetic Engineering (2 papers) and Voice and Speech Disorders (2 papers). The work is most often cited by research in Cancer Research (61 citations), Energy Engineering and Power Technology (11 citations), Molecular Biology (213 citations), Otorhinolaryngology (11 citations) and Plant Science (72 citations). Shuo Ding has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Bao‐Cai Tan, Yan‐Zhuo Yang, Chunhui Xu, Feng Sun, Hongchun Wang, Yong Wang, Qi Zhong, Chao Fu, Xinyuan Liu and Jiangjiang Wang. Their work appears in journals such as Energy Conversion and Management, Annals of Translational Medicine, Frontiers in Nutrition, Frontiers in Pharmacology and PLANT PHYSIOLOGY.

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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