Dan Qin

2.3k citations
97 papers · 1.6k · h-index 22

Impact in

Papers in

    • RNA modifications and cancer 4
    • RNA and protein synthesis mechanisms 4
    • Inflammasome and immune disorders 4
    • Microbial Natural Products and Biosynthesis 12
    • Fungal Biology and Applications 10
    • Alkaloids: synthesis and pharmacology 4

Dan Qin

90 papers receiving 1.6k citations

Peers

Dan Qin
Comparison fields: 5 of 152
  • Environmental Chemistry 134
  • Pharmacology 197
  • Cancer Research 144
  • Clinical Biochemistry 64
  • Internal Medicine 33
Replace Yun Zhang with:
Yun Zhang China
Hongjie Chen China
Jun‐ichi Koizumi Japan
Lu Zhao China
Yunxia Li China
Xin Liu China
Lin Miao China
Zhiliang Xu China
Chunsheng Liu China
Dan Qin relative to Yun Zhang China Yun Zhang's profile →
Citations per field
00.5×8.3×
Yun Zhang · 1×
Citations per year

Countries citing papers authored by Dan Qin

Since Specialization
Citations

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

Fields of papers citing papers by Dan Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013219
2 202179
3 201879
4 201867
5 202265
6 201764
7 202250
8 201448
9 201947
10 202036
11 201934
12 201330
13 201929
14 201829
15 201427
16 202026
17 202026
18 201925
19 202125
20 201823

About Dan Qin

Dan Qin is a scholar working on Molecular Biology, Pharmacology, Plant Science, Surgery and Physiology, having authored 97 papers that have together received 1.6k indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (12 papers), Fungal Biology and Applications (10 papers), Liver physiology and pathology (4 papers), RNA modifications and cancer (4 papers), RNA and protein synthesis mechanisms (4 papers), Inflammasome and immune disorders (4 papers), Alkaloids: synthesis and pharmacology (4 papers) and Sparse and Compressive Sensing Techniques (4 papers). The work is most often cited by research in Environmental Chemistry (134 citations), Pharmacology (197 citations), Cancer Research (144 citations), Clinical Biochemistry (64 citations) and Internal Medicine (33 citations). Dan Qin has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Fengping Wang, Jun Meng, Jinyan Dong, Ying He, Xiang Xiao, Jun Xu, Ziru Lian, Jiangtao Wang, Di Zhao and Hongchuan Song. Their work appears in journals such as Marine Pollution Bulletin, Cell Death Discovery, Phytochemistry, Environmental Science and Pollution Research and Molecular Therapy — Nucleic Acids.

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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