Boni Ding

547 citations
25 papers · 329 · h-index 9

Impact in

Papers in

Boni Ding

24 papers receiving 325 citations

Peers

Boni Ding
Comparison fields: 5 of 57
  • Oncology 115
  • Biological Psychiatry 7
  • Cancer Research 41
  • Molecular Biology 150
  • Immunology 39
Replace Die Yu with:
Die Yu China
Pooya Farhangnia Iran
Shruthi Sriramkumar United States
Neda Yaghoubi Iran
Tulasigeri M. Totiger United States
Wei Hong China
Shu Jin China
Yuqing Li United States
Susanne Bentz Switzerland
Natalia Sauer Poland
Boni Ding relative to Die Yu China Die Yu's profile →
Citations per field
00.5×2.9×
Die Yu · 1×
Citations per year

Countries citing papers authored by Boni Ding

Since Specialization
Citations

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

Fields of papers citing papers by Boni Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202185
2 201952
3
Prognostic significance of CXCL12, CXCR4, and CXCR7 in patients with breast cancer.
201544
4 202037
5 201326
6 202115
7 202412
8 20219
9 20179
10 20168
11 20205
12 20205
13 20214
14 20153
15 20243
16 20152
17 20192
18 20142
19
Value of lipolytic solution injection in axillary lymph node dissection for breast cancer
20131
20 20221

About Boni Ding

Boni Ding is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Surgery, Molecular Biology and Genetics, having authored 25 papers that have together received 329 indexed citations. Recurring topics across this work include Chemokine receptors and signaling (4 papers), Cancer, Stress, Anesthesia, and Immune Response (2 papers), Metastasis and carcinoma case studies (2 papers), Ferroptosis and cancer prognosis (1 paper), Glycosylation and Glycoproteins Research (1 paper), Bone and Dental Protein Studies (1 paper), Inflammatory mediators and NSAID effects (1 paper) and Cancer-related cognitive impairment studies (1 paper). The work is most often cited by research in Oncology (115 citations), Biological Psychiatry (7 citations), Cancer Research (41 citations), Molecular Biology (150 citations) and Immunology (39 citations). Boni Ding has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Liyuan Qian, Wei Wu, Xuedong Chen, Jianbin Tong, Juan Zhang, Ni Gong, Xiaorong Li, Wen Ouyang, Yuan Le and Kai Liu. Their work appears in journals such as Mammalian Genome, Diagnostic Pathology, Frontiers in Oncology, The Breast and Environmental Pollution.

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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