Dan Pu

487 citations
31 papers · 340 indexed · h-index 12

Impact in

Papers in

    • Systemic Lupus Erythematosus Research 4
    • Rheumatoid Arthritis Research and Therapies 2
    • Surgical site infection prevention 2

Dan Pu

26 papers receiving 334 citations

Peers

Dan Pu
Comparison fields: 5 of 80
  • Rheumatology 108
  • Biological Psychiatry 12
  • Behavioral Neuroscience 12
  • Immunology 67
  • Pathology and Forensic Medicine 56
Replace Yun‐Hong Cheon with:
Yun‐Hong Cheon South Korea
Lorena Álvarez‐Rodríguez Spain
Ioannis Morianos Greece
Mamori Tani Japan
Giorgio Caratti Germany
Wared Nour‐Eldine Lebanon
Wenguang Xie China
Amanda Mok United States
Nada Tomanović Serbia
Chiara Rizzo Italy
Dan Pu relative to Yun‐Hong Cheon South Korea Yun‐Hong Cheon's profile →
Citations per field
00.5×1.5×2.4×
Yun‐Hong Cheon · 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 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201749
2 202148
3 201726
4 201725
5 201522
6 201819
7 201017
8 202316
9 202116
10 201014
11 201512
12 202212
13 202210
14 20218
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 20244

About Dan Pu

Dan Pu is a scholar working on Rheumatology, Surgery, Molecular Biology, Epidemiology and Immunology, having authored 31 papers that have together received 340 indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (4 papers), Cytokine Signaling Pathways and Interactions (2 papers), Surgical site infection prevention (2 papers), T-cell and B-cell Immunology (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Atherosclerosis and Cardiovascular Diseases (2 papers), Rheumatoid Arthritis Research and Therapies (2 papers) and Wound Healing and Treatments (2 papers). The work is most often cited by research in Rheumatology (108 citations), Biological Psychiatry (12 citations), Behavioral Neuroscience (12 citations), Immunology (67 citations) and Pathology and Forensic Medicine (56 citations). Dan Pu has collaborated with scholars based in China, Australia and France. Frequent co-authors include Lan He, Xiaohong Lv, Yanhua Wang, Ping Fan, Jun Zhu, Yu Xie, Qi An, Jing Zhang, Xiaohong Lü and Nan Hu. Their work appears in journals such as Clinical Rheumatology, Clinical and Experimental Rheumatology, Scientific Reports, Biological Research and Asian Spine Journal.

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.

Explore authors with similar magnitude of impact