Fei Ding

489 citations
21 papers · 398 · h-index 10

Impact in

Papers in

Fei Ding

19 papers receiving 395 citations

Peers

Fei Ding
Comparison fields: 5 of 58
  • Cellular and Molecular Neuroscience 144
  • Cancer Research 64
  • Developmental Neuroscience 10
  • Neurology 12
  • Biological Psychiatry 2
Replace Gil Ast with:
Gil Ast Israel
Xiaoying S. Zhong United States
Sofia Madsen Sweden
Mayuresh Anant Sarangdhar India
Xiangwei Yang China
Daniel Lüscher Switzerland
Aurélien Bayot France
Baole Zhang China
Cihangir Yandım Türkiye
Cho Rong Park South Korea
Fei Ding relative to Gil Ast Israel Gil Ast's profile →
Citations per field
00.5×2×3×4×
Gil Ast · 1×
Citations per year

Countries citing papers authored by Fei Ding

Since Specialization
Citations

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

Fields of papers citing papers by Fei Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012100
2 201183
3 200949
4 201337
5 201918
6 201717
7 201915
8 201811
9 202111
10 202211
11 200810
12 20147
13 20227
14 20216
15 20125
16 20083
17 20183
18
MiR-422a in gastric cancer cells directly targets CDC40 and modulates cell proliferation.
20203
19 20242
20 20250

About Fei Ding

Fei Ding is a scholar working on Cancer Research, Cellular and Molecular Neuroscience, Reproductive Medicine, Rheumatology and Neurology, having authored 21 papers that have together received 398 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (3 papers), Reproductive Biology and Fertility (2 papers), Nerve injury and regeneration (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Receptor Mechanisms and Signaling (1 paper), Analytical Methods in Pharmaceuticals (1 paper), Plant Molecular Biology Research (1 paper) and Lymphadenopathy Diagnosis and Analysis (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (144 citations), Cancer Research (64 citations), Developmental Neuroscience (10 citations), Neurology (12 citations) and Biological Psychiatry (2 citations). Fei Ding has collaborated with scholars based in China, Denmark and United States. Frequent co-authors include Bin Yu, Yongjun Wang, Xiao-song Gu, Songlin Zhou, Guohui Ding, Dingding Shen, Xiaoyan Tang, Leilei Gong, Defang Gan and Yang Zhao. Their work appears in journals such as Biochemical and Biophysical Research Communications, PLoS ONE, Reproduction, BMC Pulmonary Medicine and Biomedical Chromatography.

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.

Explore authors with similar magnitude of impact