Donghui Pan

5.0k citations
129 papers · 4.1k · 1 hit paper · h-index 34

Impact in

Papers in

Donghui Pan

127 papers receiving 4.1k citations

Donghui Pan's Hit Papers

Applications of multi‐omics analysis in human diseases 2023 · 266 citations
2660+1+2Years since publication50100150200250

Peers

Donghui Pan
Comparison fields: 5 of 148
  • Biological Psychiatry 215
  • Process Chemistry and Technology 248
  • Behavioral Neuroscience 153
  • Biomaterials 437
  • Biomedical Engineering 1.1k
Replace Fan He with:
Fan He China
Yan Fu China
Dongin Kim United States
Yubin Huang China
Hossein Ghanbari Iran
Koichiro Hayashi Japan
Yuting Song China
Chunyang Yu China
Yangyang He China
Yi Liu China
Donghui Pan relative to Fan He China Fan He's profile →
Citations per field
00.5×6.3×
Fan He · 1×
Citations per year

Countries citing papers authored by Donghui Pan

Since Specialization
Citations

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

Fields of papers citing papers by Donghui Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 129 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018326
2 2020282
3
Applications of multi‐omics analysis in human diseases
Hit paper breakdown →
2023266
4 2021185
5 2019161
6 2013143
7 2022140
8 2018109
9 2016106
10 202092
11 201892
12 201588
13 201985
14 202077
15 201875
16 202173
17 201372
18 201569
19 201862
20 201961

About Donghui Pan

Donghui Pan is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Oncology, Materials Chemistry and Molecular Biology, having authored 129 papers that have together received 4.1k indexed citations. Recurring topics across this work include Catalysis for Biomass Conversion (18 papers), Radiopharmaceutical Chemistry and Applications (18 papers), Nanoplatforms for cancer theranostics (10 papers), Peptidase Inhibition and Analysis (9 papers), Nanoparticle-Based Drug Delivery (8 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Carbon dioxide utilization in catalysis (7 papers) and Supercapacitor Materials and Fabrication (7 papers). The work is most often cited by research in Biological Psychiatry (215 citations), Process Chemistry and Technology (248 citations), Behavioral Neuroscience (153 citations), Biomaterials (437 citations) and Biomedical Engineering (1.1k citations). Donghui Pan has collaborated with scholars based in China, Fiji and United States. Frequent co-authors include Min Yang, Junjie Yan, Guomin Xiao, Xinyu Wang, Yuanfeng Wu, Yuping Xu, Runlin Yang, Lizhen Wang, Xianghai Song and Lijing Gao. Their work appears in journals such as Journal of Radioanalytical and Nuclear Chemistry, Applied Catalysis A General, Contrast Media & Molecular Imaging, European Journal of Nuclear Medicine and Molecular Imaging and Nuclear Medicine and Biology.

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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