Yanbing Ding

2.8k citations
104 papers · 1.9k indexed · h-index 24

Impact in

Papers in

    • Immune Cell Function and Interaction 12
    • T-cell and B-cell Immunology 10
    • Pancreatic and Hepatic Oncology Research 17

Yanbing Ding

100 papers receiving 1.9k citations

Peers

Yanbing Ding
Comparison fields: 5 of 115
  • Immunology 431
  • Cancer Research 278
  • Oncology 458
  • Surgery 587
  • Molecular Biology 812
Replace Hailong Chen with:
Hailong Chen China
Gyung Hyuck Ko South Korea
Weiming Xiao China
Kazuhiro Katada Japan
Ruiming Rong China
Guotao Lu China
Jun Shi China
Mengtao Zhou China
Rebecca Schuster United States
Jian Dong China
Yanbing Ding relative to Hailong Chen China Hailong Chen's profile →
Citations per field
00.5×1.5×1.9×
Hailong Chen · 1×
Citations per year

Countries citing papers authored by Yanbing Ding

Since Specialization
Citations

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

Fields of papers citing papers by Yanbing Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20251
4 20250
5 20244
6 202424
7 20241
8 202410
9 20234
10 20223
11 20224
12 202119
13 202011
14 20191
15 2018159
16 201813
17 201323
18 20126
19 201062
20 200960

About Yanbing Ding

Yanbing Ding is a scholar working on Immunology, Oncology, Surgery, Cancer Research and Gastroenterology, having authored 104 papers that have together received 1.9k indexed citations. Recurring topics across this work include Pancreatitis Pathology and Treatment (29 papers), Pancreatic and Hepatic Oncology Research (17 papers), Immune Cell Function and Interaction (12 papers), T-cell and B-cell Immunology (10 papers), Liver Disease Diagnosis and Treatment (9 papers), Helicobacter pylori-related gastroenterology studies (9 papers), Gastric Cancer Management and Outcomes (7 papers) and Cancer-related molecular mechanisms research (7 papers). The work is most often cited by research in Immunology (431 citations), Cancer Research (278 citations), Oncology (458 citations), Surgery (587 citations) and Molecular Biology (812 citations). Yanbing Ding has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Weiming Xiao, Guotao Lu, Weijuan Gong, Bin Deng, Keyan Wu, Qingtian Zhu, Jian Wu, Xinnong Liu, Tao Yin and Weiqin Li. Their work appears in journals such as Biochemical and Biophysical Research Communications, Bioorganic & Medicinal Chemistry Letters, BMC Gastroenterology, Biomedicine & Pharmacotherapy and Oxidative Medicine and Cellular Longevity.

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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