Weihong Ding

817 citations
27 papers · 629 · h-index 13

Impact in

    • Cancer, Lipids, and Metabolism
    • Peptidase Inhibition and Analysis
    • Inflammatory Biomarkers in Disease Prognosis

Papers in

Weihong Ding

26 papers receiving 623 citations

Peers

Weihong Ding
Comparison fields: 5 of 77
  • Cancer Research 146
  • Oncology 211
  • Biological Psychiatry 16
  • Pulmonary and Respiratory Medicine 201
  • Molecular Biology 266
Replace Dengxiong Li with:
Dengxiong Li China
Tianli Cheng China
Qianghua Zhou China
Jukka Morko Finland
Bosen You China
Stephanie Annett Ireland
Kuo-Pao Lai Taiwan
Kaijing Wang China
Shijun Tong China
Changqie Pan China
Weihong Ding relative to Dengxiong Li China Dengxiong Li's profile →
Citations per field
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Dengxiong Li · 1×
Citations per year

Countries citing papers authored by Weihong Ding

Since Specialization
Citations

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

Fields of papers citing papers by Weihong Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202073
2 201569
3 201368
4 202056
5 201345
6 202137
7 201233
8 201133
9 201133
10 201629
11 201523
12 201718
13 202314
14 202112
15 201412
16 201412
17 202011
18 201810
19 20219
20 20219

About Weihong Ding

Weihong Ding is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Oncology, Molecular Biology and Immunology, having authored 27 papers that have together received 629 indexed citations. Recurring topics across this work include Bladder and Urothelial Cancer Treatments (10 papers), Prostate Cancer Treatment and Research (8 papers), Urinary and Genital Oncology Studies (6 papers), Immune cells in cancer (4 papers), Cancer, Lipids, and Metabolism (3 papers), Cancer, Stress, Anesthesia, and Immune Response (3 papers), Cardiac Fibrosis and Remodeling (3 papers) and Peptidase Inhibition and Analysis (3 papers). The work is most often cited by research in Cancer Research (146 citations), Oncology (211 citations), Biological Psychiatry (16 citations), Pulmonary and Respiratory Medicine (201 citations) and Molecular Biology (266 citations). Weihong Ding has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Ke Xu, Guowei Xia, Chuanyu Sun, Yuancheng Gou, Qiang Ding, Yuan Gao, Shijun Tong, Qingfeng Hu, Shen Gao and Zhongqing Chen. Their work appears in journals such as British Journal of Pharmacology, Urologic Oncology Seminars and Original Investigations, Bioscience Reports, Molecular Pharmaceutics and iScience.

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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