Dan Guo

489 citations
32 papers · 365 · h-index 11

Impact in

Papers in

    • RNA modifications and cancer 5
    • RNA Research and Splicing 4
    • CRISPR and Genetic Engineering 2
    • DNA Repair Mechanisms 2
    • Cancer-related Molecular Pathways 3

Dan Guo

29 papers receiving 358 citations

Peers

Dan Guo
Comparison fields: 5 of 100
  • Complementary and alternative medicine 27
  • Cancer Research 45
  • Molecular Biology 157
  • Complementary and Manual Therapy 4
  • Hematology 20
Replace Jiayi Zhu with:
Jiayi Zhu China
Jiawei Lu China
Xuzhi Ruan China
Ya Tian China
Biao Song China
Qiuyun Guo China
Lisa Fredriksson Netherlands
Shuhua Xie China
Xinxin Liu China
Hana Novotná Czechia
Dan Guo relative to Jiayi Zhu China Jiayi Zhu's profile →
Citations per field
00.5×1.6×
Jiayi Zhu · 1×
Citations per year

Countries citing papers authored by Dan Guo

Since Specialization
Citations

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

Fields of papers citing papers by Dan Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201345
2 202238
3 201133
4 201232
5 201429
6 201823
7 202019
8 202118
9 201818
10 201914
11 201812
12 20229
13 20229
14 20228
15 20147
16 20237
17 20207
18 20236
19 20175
20 20244

About Dan Guo

Dan Guo is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Physiology and Cancer Research, having authored 32 papers that have together received 365 indexed citations. Recurring topics across this work include RNA modifications and cancer (5 papers), RNA Research and Splicing (4 papers), Cancer-related Molecular Pathways (3 papers), Iron Metabolism and Disorders (2 papers), CRISPR and Genetic Engineering (2 papers), Erythrocyte Function and Pathophysiology (2 papers), Immune Cell Function and Interaction (2 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Complementary and alternative medicine (27 citations), Cancer Research (45 citations), Molecular Biology (157 citations), Complementary and Manual Therapy (4 citations) and Hematology (20 citations). Dan Guo has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jinyu Liu, Kaiping Wang, Yu Zhang, Hongbo Fang, Yongliang Zhao, Vera Huang, Long‐Cheng Li, Xuemei Lu, Adayabalam S. Balajee and Jing Liu. Their work appears in journals such as ACS Synthetic Biology, Analytical and Bioanalytical Chemistry, World Neurosurgery, Journal of Clinical Medicine and Journal of Allergy and Clinical Immunology.

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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