Jinwang Ding

645 citations
23 papers · 475 · h-index 10

Impact in

Papers in

Jinwang Ding

22 papers receiving 467 citations

Peers

Jinwang Ding
Comparison fields: 5 of 63
  • Drug Discovery 2
  • Cancer Research 82
  • Endocrinology, Diabetes and Metabolism 97
  • Molecular Biology 228
  • Health Informatics 4
Replace Yingchun Song with:
Yingchun Song China
You Peng China
Xueqing Li China
Heqing Yi China
Je-Ryong Kim South Korea
Wenlong Wang China
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Citations per field
00.5×2×3.3×
Yingchun Song · 1×
Citations per year

Countries citing papers authored by Jinwang Ding

Since Specialization
Citations

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

Fields of papers citing papers by Jinwang Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020143
2 2021101
3 201459
4 202233
5 201823
6
Silencing of ENO1 inhibits the proliferation, migration and invasion of human breast cancer cells.
202121
7 202015
8 201714
9 202313
10 201811
11 20226
12 20236
13 20185
14 20225
15
[Research progress of the lymph node dissection posterior to fight recurrent laryngeal nerve of papillary thyroid carcinoma].
20154
16 20184
17 20204
18 20242
19 20242
20 20252

About Jinwang Ding

Jinwang Ding is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research, Radiology, Nuclear Medicine and Imaging, Otorhinolaryngology and Surgery, having authored 23 papers that have together received 475 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (11 papers), Thyroid and Parathyroid Surgery (3 papers), Cancer, Hypoxia, and Metabolism (1 paper), Advanced Proteomics Techniques and Applications (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper), RNA Research and Splicing (1 paper), Parathyroid Disorders and Treatments (1 paper) and Microbial Natural Products and Biosynthesis (1 paper). The work is most often cited by research in Drug Discovery (2 citations), Cancer Research (82 citations), Endocrinology, Diabetes and Metabolism (97 citations), Molecular Biology (228 citations) and Health Informatics (4 citations). Jinwang Ding has collaborated with scholars based in China and United States. Frequent co-authors include Yan Lü, Mengqian Yu, Jisong Zhang, Bingjian Lü, Pengyuan Liu, Dingcun Luo, You Peng, Qing Hua Zhou, Lian Liu and Pengyuan Liu. Their work appears in journals such as Frontiers in Oncology, Cancer Management and Research, Frontiers in Microbiology, Oncotarget and Molecules.

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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