Fang Ding

2.6k citations
87 papers · 1.9k · h-index 24

Impact in

Papers in

    • S100 Proteins and Annexins 9
    • Cancer-related gene regulation 9
    • RNA modifications and cancer 7
    • Phytoplasmas and Hemiptera pathogens 17
    • Plant Pathogenic Bacteria Studies 11
    • Plant Virus Research Studies 9

Fang Ding

76 papers receiving 1.9k citations

Peers

Fang Ding
Comparison fields: 5 of 128
  • Horticulture 132
  • Cancer Research 442
  • Molecular Biology 1.3k
  • Insect Science 189
  • Plant Science 567
Replace Thomas Miller with:
Thomas Miller United States
Michael Aregger United States
Ke Xie China
P.J. Diergaarde Netherlands
Károly Fátyol Hungary
Xiang Ji China
Chikako Mitsuoka Japan
Patrizia Galeffi Italy
Víctor Llaca United States
Fang Ding relative to Thomas Miller United States Thomas Miller's profile →
Citations per field
00.5×7.8×
Thomas Miller · 1×
Citations per year

Countries citing papers authored by Fang Ding

Since Specialization
Citations

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

Fields of papers citing papers by Fang Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010258
2 2020139
3 2012108
4 200494
5 201884
6 201870
7 201263
8 201762
9 201351
10 200751
11 201848
12 201545
13 200945
14 201644
15 202244
16 202143
17 201536
18 201433
19 202132
20 200530

About Fang Ding

Fang Ding is a scholar working on Molecular Biology, Plant Science, Cancer Research, Immunology and Insect Science, having authored 87 papers that have together received 1.9k indexed citations. Recurring topics across this work include Phytoplasmas and Hemiptera pathogens (17 papers), Plant Pathogenic Bacteria Studies (11 papers), Plant Virus Research Studies (9 papers), S100 Proteins and Annexins (9 papers), Cancer-related gene regulation (9 papers), RNA modifications and cancer (7 papers), Cocoa and Sweet Potato Agronomy (6 papers) and Insect symbiosis and bacterial influences (5 papers). The work is most often cited by research in Horticulture (132 citations), Cancer Research (442 citations), Molecular Biology (1.3k citations), Insect Science (189 citations) and Plant Science (567 citations). Fang Ding has collaborated with scholars based in China, United States and Ireland. Frequent co-authors include Zhihua Liu, Aiping Luo, Hongyan Chen, Yanyan Tian, Yiran Cai, Qin Su, Honghong Zhou, Yongshuo Liu, Shuangxia Jin and Rui Zhu. Their work appears in journals such as Journal of Biological Chemistry, Plant Biotechnology Journal, Scientific Reports, PLoS ONE and Molecular Cancer Research.

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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