Guirong Ding

1.4k citations
72 papers · 1.1k · h-index 21

Impact in

  • Biophysics top 0.5%
    • Electromagnetic Fields and Biological Effects
  • Neurology top 5%
    • Transcranial Magnetic Stimulation Studies

Papers in

Guirong Ding

68 papers receiving 1.1k citations

Peers

Guirong Ding
Comparison fields: 5 of 115
  • Biophysics 406
  • Neurology 146
  • Physiology 48
  • Developmental Neuroscience 37
  • Biotechnology 72
Replace Carlo Aldinucci with:
Carlo Aldinucci Italy
Shuiming Wang China
Guozhen Guo China
Roberto Iorio Italy
Silvia Paradisi Italy
Yonghui Lu China
Akiyuki Takahashi Japan
Ilse Van den Wyngaert Belgium
Harumichi Seguchi Japan
Nesrin Seyhan Türkiye
Guirong Ding relative to Carlo Aldinucci Italy Carlo Aldinucci's profile →
Citations per field
00.5×3.2×
Carlo Aldinucci · 1×
Citations per year

Countries citing papers authored by Guirong Ding

Since Specialization
Citations

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

Fields of papers citing papers by Guirong Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011123
2 202046
3 200545
4 201040
5 201737
6 200936
7 200834
8 201033
9 201533
10 201032
11 201031
12 201629
13 201829
14 200028
15 200128
16 200926
17 201525
18 200424
19 201124
20 200323

About Guirong Ding

Guirong Ding is a scholar working on Biophysics, Molecular Biology, Neurology, Physiology and Biotechnology, having authored 72 papers that have together received 1.1k indexed citations. Recurring topics across this work include Electromagnetic Fields and Biological Effects (35 papers), Microbial Inactivation Methods (10 papers), Sperm and Testicular Function (7 papers), Reproductive Biology and Fertility (7 papers), Effects of Radiation Exposure (6 papers), Cell death mechanisms and regulation (6 papers), Spaceflight effects on biology (6 papers) and Barrier Structure and Function Studies (6 papers). The work is most often cited by research in Biophysics (406 citations), Neurology (146 citations), Physiology (48 citations), Developmental Neuroscience (37 citations) and Biotechnology (72 citations). Guirong Ding has collaborated with scholars based in China, Japan and Romania. Frequent co-authors include Guozhen Guo, Junji Miyakoshi, Xiaowu Wang, Kangchu Li, Yongchun Zhou, Guozhen Guo, Yan Zhou, Keying Zhang, Guangzhou An and Hideki Hirose. Their work appears in journals such as Toxicology, Bioelectromagnetics, International Journal of Environmental Research and Public Health, International Journal of Radiation Biology and BMC 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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