Guangdi Chen

2.2k citations
84 papers · 1.7k · h-index 28

Impact in

Papers in

    • Melanoma and MAPK Pathways 6
    • RNA modifications and cancer 4
    • Electromagnetic Fields and Biological Effects 20

Guangdi Chen

78 papers receiving 1.7k citations

Peers

Guangdi Chen
Comparison fields: 5 of 147
  • Biophysics 278
  • Health, Toxicology and Mutagenesis 293
  • Cancer Research 250
  • Physiology 42
  • Molecular Biology 594
Replace Sonia Saad with:
Sonia Saad Australia
Elisabetta Aldieri Italy
Ingrid Nordenson Sweden
Yoon Hee Cho United States
Wen‐Yi Yang China
Yong Zhu United States
Mei Wang China
Huanhuan Wang China
Hyun Joo Lee South Korea
Peng Duan China
Guangdi Chen relative to Sonia Saad Australia Sonia Saad's profile →
Citations per field
00.5×6.3×
Sonia Saad · 1×
Citations per year

Countries citing papers authored by Guangdi Chen

Since Specialization
Citations

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

Fields of papers citing papers by Guangdi Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201982
2 201071
3 201564
4 201258
5 201256
6 201353
7 201852
8 201252
9 200652
10 201850
11 201447
12 200643
13 201642
14 201042
15 201541
16 201640
17 201237
18 201134
19 202033
20 201730

About Guangdi Chen

Guangdi Chen is a scholar working on Molecular Biology, Biophysics, Health, Toxicology and Mutagenesis, Physiology and Cancer Research, having authored 84 papers that have together received 1.7k indexed citations. Recurring topics across this work include Electromagnetic Fields and Biological Effects (20 papers), Heavy Metal Exposure and Toxicity (12 papers), Melanoma and MAPK Pathways (6 papers), Air Quality and Health Impacts (6 papers), Effects and risks of endocrine disrupting chemicals (5 papers), Trace Elements in Health (5 papers), Cutaneous Melanoma Detection and Management (4 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Biophysics (278 citations), Health, Toxicology and Mutagenesis (293 citations), Cancer Research (250 citations), Physiology (42 citations) and Molecular Biology (594 citations). Guangdi Chen has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Zhengping Xu, Liling Su, Magdalena Martinka, Jìng Guo, Yabin Cheng, Rongpan Bai, Xinyuan Zhao, Qiong Luo, Jinghao Sheng and Haojie Dong. Their work appears in journals such as Ecotoxicology and Environmental Safety, PLoS ONE, The Science of The Total Environment, Environmental Pollution and Bioelectromagnetics.

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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