Danfeng Shi

51 papers receiving 1.2k citations

Hit Papers

Molecular dynamics simulations and novel drug discovery 2017 · 357 citations
3572017202620202023100200300

Peers

Danfeng Shi
Comparison fields: 5 of 104
  • Computational Theory and Mathematics 220
  • Toxicology 46
  • Molecular Biology 761
  • Pharmacology 79
  • Biochemistry 56
Replace Yong-Seok Heo with:
Yong-Seok Heo South Korea
Kemal Yelekçi Türkiye
Temitope Isaac Adelusi Nigeria
George Lambrinidis Greece
Angelo Pugliese United States
Sisheng Ouyang China
Carmen Di Giovanni Italy
Giulio Poli Italy
Nam Sook Kang South Korea
Makoto Muroi Japan
Danfeng Shi relative to Yong-Seok Heo South Korea Yong-Seok Heo's profile →
Citations per field
00.5×1.5×1.9×
Yong-Seok Heo · 1×
Citations per year

Countries citing papers authored by Danfeng Shi

Since Specialization
Citations

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

Fields of papers citing papers by Danfeng Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20234
3 20235
4 20228
5 20224
6 202120
7 20217
8 20214
9 202112
10 202062
11 201910
12 20192
13 201941
14 201910
15 201914
16 201722
17 201524
18 201422
19 201434
20
A study on the culture medium antigens of Cystcercus cellulosae for detecting antibodies of cysticercosis by means of ABC-ELISA.
19971

About Danfeng Shi

Danfeng Shi is a scholar working on Toxicology, Biological Psychiatry, Pharmacology, Molecular Biology and Geriatrics and Gerontology, having authored 51 papers that have together received 1.2k indexed citations. Recurring topics across this work include Redox biology and oxidative stress (6 papers), Receptor Mechanisms and Signaling (6 papers), Protein Structure and Dynamics (5 papers), Natural product bioactivities and synthesis (5 papers), Biochemical and Molecular Research (4 papers), Pharmacological Effects of Natural Compounds (4 papers), Phytochemistry and Biological Activities (4 papers) and Bioactive Compounds and Antitumor Agents (3 papers). The work is most often cited by research in Computational Theory and Mathematics (220 citations), Toxicology (46 citations), Molecular Biology (761 citations), Pharmacology (79 citations) and Biochemistry (56 citations). Danfeng Shi has collaborated with scholars based in China, Macao and Japan. Frequent co-authors include Xiaojun Yao, Huanxiang Liu, Shuangyan Zhou, Xue‐Wei Liu, Hongli Liu, Qifeng Bai, Jianguo Fang, Junmin Zhang, Zhitong Bing and Xin‐Sheng Yao. Their work appears in journals such as Fitoterapia, Scientific Reports, Proteins Structure Function and Bioinformatics, Biomedical Chromatography and Journal of Medicinal Chemistry.

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

Rankless by CCL
2026