Fei Ding

480 citations
19 papers · 367 · h-index 10

Impact in

Papers in

    • Circular RNAs in diseases 4
    • RNA modifications and cancer 2
    • Plant tissue culture and regeneration 2
    • MicroRNA in disease regulation 7
    • Cancer-related molecular mechanisms research 4

Fei Ding

18 papers receiving 366 citations

Peers

Fei Ding
Comparison fields: 5 of 72
  • Developmental Neuroscience 48
  • Cellular and Molecular Neuroscience 144
  • Cancer Research 93
  • Biological Psychiatry 8
  • Horticulture 3
Replace Danielle E. Read with:
Danielle E. Read Ireland
Letizia Marvaldi Israel
Francesco Tomassoni‐Ardori United States
Tanisha Singh India
Yidi Wang United States
Soichiro Kishi Japan
Jacek Lenart Poland
Ava Nasrolahi Iran
Abhishek Jauhari India
Fei Ding relative to Danielle E. Read Ireland Danielle E. Read's profile →
Citations per field
00.5×1.5×
Danielle E. Read · 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

19 of 19 papers shown
#Work
1 201294
2 201180
3 200947
4 201335
5 201917
6 201715
7 201913
8 201811
9 202210
10 20089
11 20219
12 20216
13 20145
14 20125
15 20083
16 20183
17
MiR-422a in gastric cancer cells directly targets CDC40 and modulates cell proliferation.
20203
18 20242
19 20250

About Fei Ding

Fei Ding is a scholar working on Molecular Biology, Cancer Research, Plant Science, Cellular and Molecular Neuroscience and Pulmonary and Respiratory Medicine, having authored 19 papers that have together received 367 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (7 papers), Cancer-related molecular mechanisms research (4 papers), Circular RNAs in diseases (4 papers), Nerve injury and regeneration (2 papers), RNA modifications and cancer (2 papers), Reproductive Biology and Fertility (2 papers), Plant tissue culture and regeneration (2 papers) and Plant Molecular Biology Research (1 paper). The work is most often cited by research in Developmental Neuroscience (48 citations), Cellular and Molecular Neuroscience (144 citations), Cancer Research (93 citations), Biological Psychiatry (8 citations) and Horticulture (3 citations). Fei Ding has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Bin Yu, Songlin Zhou, Yongjun Wang, Xiaosong Gu, Guohui Ding, Dingding Shen, Leilei Gong, Xiaoyan Tang, Defang Gan and Yang Zhao. Their work appears in journals such as Biochemical and Biophysical Research Communications, PLoS ONE, Journal of Cellular Biochemistry, Endocrinology and Journal of Neuroscience.

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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