Dabo Pan

765 citations
46 papers · 655 · h-index 16

Impact in

Papers in

    • Natural product bioactivities and synthesis 6
    • Protein Structure and Dynamics 4
    • Pharmacological Effects of Natural Compounds 6
    • Ginger and Zingiberaceae research 5

Dabo Pan

45 papers receiving 648 citations

Peers

Dabo Pan
Comparison fields: 5 of 90
  • Hepatology 75
  • Pharmacology 71
  • Computational Theory and Mathematics 92
  • Molecular Biology 382
  • Infectious Diseases 86
Replace Dinesh Manvar with:
Dinesh Manvar United States
Abdelhakim Ahmed‐Belkacem France
Xiu-Lian Ju China
Marco Tutone Italy
Ge Fu China
Anthi Petrou Greece
Juan J. Martínez‐Irujo Spain
Soon Kil Ahn South Korea
Sheng Tang China
Limei Gao China
Dabo Pan relative to Dinesh Manvar United States Dinesh Manvar's profile →
Citations per field
00.5×2.7×
Dinesh Manvar · 1×
Citations per year

Countries citing papers authored by Dabo Pan

Since Specialization
Citations

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

Fields of papers citing papers by Dabo Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201181
2 201841
3 201940
4 201640
5 201232
6 201824
7 201524
8 202023
9 202022
10 202120
11 202020
12 201020
13 201619
14 201918
15 201817
16 201216
17 201414
18 202214
19 201212
20 201112

About Dabo Pan

Dabo Pan is a scholar working on Molecular Biology, Pharmacology, Plant Science, Organic Chemistry and Pharmacology, having authored 46 papers that have together received 655 indexed citations. Recurring topics across this work include Natural product bioactivities and synthesis (6 papers), Phytochemistry and Biological Activities (6 papers), Pharmacological Effects of Natural Compounds (6 papers), Computational Drug Discovery Methods (5 papers), Hepatitis C virus research (5 papers), Ginger and Zingiberaceae research (5 papers), Protein Structure and Dynamics (4 papers) and Hepatitis B Virus Studies (3 papers). The work is most often cited by research in Hepatology (75 citations), Pharmacology (71 citations), Computational Theory and Mathematics (92 citations), Molecular Biology (382 citations) and Infectious Diseases (86 citations). Dabo Pan has collaborated with scholars based in China, Macao and Thailand. Frequent co-authors include Xiaojun Yao, Huanxiang Liu, Weiwei Xue, Yang Yu, Yuzhen Niu, Ying Yang, Haibo Li, Xin‐Sheng Yao, Dahong Yao and Zhendan He. Their work appears in journals such as Bioorganic Chemistry, Journal of Molecular Modeling, Chemometrics and Intelligent Laboratory Systems, PLoS ONE and Food & Function.

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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