Dan Pu

509 citations
32 papers · 368 · h-index 13

Impact in

Papers in

    • Surgical Sutures and Adhesives 2
    • Surgical site infection prevention 2
    • Inflammatory Myopathies and Dermatomyositis 2
    • Bone fractures and treatments 2

Dan Pu

29 papers receiving 361 citations

Peers

Dan Pu
Comparison fields: 5 of 72
  • Rheumatology 89
  • Biological Psychiatry 9
  • Behavioral Neuroscience 9
  • Pathology and Forensic Medicine 43
  • Immunology 48
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Dan Pu relative to Mamori Tani Japan Mamori Tani's profile →
Citations per field
00.5×4.5×
Mamori Tani · 1×
Citations per year

Countries citing papers authored by Dan Pu

Since Specialization
Citations

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

Fields of papers citing papers by Dan Pu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dan Pu, 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 Pu Line = papers co-authored together Dan Pu 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 202152
2 201751
3 201729
4 201726
5 201522
6 201820
7 202119
8 201018
9 202317
10 201016
11 202213
12 201512
13 202212
14 20219
15 20217
16
[Construction of recombinant eukaryotic expression plasmid containing 1.3-fold-overlength genome of HBV and its expression in HepG2 cells].
20037
17 20226
18 20226
19 20225
20
[Construction, expression and antigenic study of bivalent vaccine candidate with 26,000 OMP and heat short protein A of human Helicobacter pylori].
20034

About Dan Pu

Dan Pu is a scholar working on Surgery, Epidemiology, Rheumatology, Molecular Biology and Pathology and Forensic Medicine, having authored 32 papers that have together received 368 indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (3 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Wound Healing and Treatments (2 papers), Surgical Sutures and Adhesives (2 papers), Inflammatory Myopathies and Dermatomyositis (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Bone fractures and treatments (2 papers) and Surgical site infection prevention (2 papers). The work is most often cited by research in Rheumatology (89 citations), Biological Psychiatry (9 citations), Behavioral Neuroscience (9 citations), Pathology and Forensic Medicine (43 citations) and Immunology (48 citations). Dan Pu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Lan He, Xiaohong Lv, Yanhua Wang, Ping Fan, Yu Xie, Qi An, Jun Zhu, Jing Zhang, Nan Hu and Xiaohong Lü. Their work appears in journals such as Clinical Rheumatology, Frontiers in Genetics, Frontiers in Pharmacology, Diabetes Research and Clinical Practice and Biochemical and Biophysical Research Communications.

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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