Beichen Ding

815 citations
40 papers · 536 · h-index 15

Impact in

Papers in

Beichen Ding

40 papers receiving 531 citations

Peers

Beichen Ding
Comparison fields: 5 of 94
  • Cancer Research 147
  • Pulmonary and Respiratory Medicine 166
  • Molecular Biology 280
  • Immunology 80
  • Aquatic Science 25
Replace Martina Jänicke with:
Martina Jänicke Germany
Chenkui Miao China
Sharon Natasha Cox Italy
S. Lawrence Bailey United States
Ilona Urbárová Norway
Jason J. Gokey United States
Mariko Kikuchi Japan
Hongying Huang United States
Patricia Ash United Kingdom
Beichen Ding relative to Martina Jänicke Germany Martina Jänicke's profile →
Citations per field
00.5×2.7×
Martina Jänicke · 1×
Citations per year

Countries citing papers authored by Beichen Ding

Since Specialization
Citations

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

Fields of papers citing papers by Beichen Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201859
2 201953
3 202031
4 202426
5 201726
6 202425
7 202425
8 201923
9 202422
10 202021
11 201921
12 202420
13 202118
14 201917
15 201916
16 201914
17 202412
18 202212
19 202212
20 202010

About Beichen Ding

Beichen Ding is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Surgery and Aquatic Science, having authored 40 papers that have together received 536 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (7 papers), Ferroptosis and cancer prognosis (7 papers), Renal and related cancers (6 papers), Marine Bivalve and Aquaculture Studies (6 papers), Echinoderm biology and ecology (5 papers), Renal cell carcinoma treatment (5 papers), Prostate Cancer Treatment and Research (4 papers) and Bladder and Urothelial Cancer Treatments (4 papers). The work is most often cited by research in Cancer Research (147 citations), Pulmonary and Respiratory Medicine (166 citations), Molecular Biology (280 citations), Immunology (80 citations) and Aquatic Science (25 citations). Beichen Ding has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Guoliang Sun, Yaxuan Wang, Libin Yan, Zhangqun Ye, Yucong Zhang, Ming-Hua Ren, Lijuan Zhang, Jianmei Wang, Bo Ji and Jiawen Zhang. Their work appears in journals such as Comparative Biochemistry and Physiology Part D Genomics and Proteomics, Frontiers in Immunology, Journal of Cellular and Molecular Medicine, Journal of X-Ray Science and Technology and Journal of Cancer.

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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