Dan Xu

65 papers receiving 2.1k citations

Dan Xu's Hit Papers

Rheumatoid arthritis: pathological mechanisms and modern pharmacologic therapies 2018 · 1.3k citations
1.3k0+2+5Years since publication4008001.2k

Peers

Dan Xu
Comparison fields: 5 of 143
  • Rheumatology 572
  • Immunology 287
  • Biological Psychiatry 32
  • Hematology 134
  • Pharmacology 93
Replace Philip M. Brown with:
Philip M. Brown United States
Tomoko Sugiura Japan
Shaye Kivity Israel
Fabio Ayala Italy
Nicola Balato Italy
Maria Alessio Italy
Claudia Fabiani Italy
Miho Suzuki Japan
Leon Kircik United States
Candace S. Johnson United States
Dan Xu relative to Philip M. Brown United States Philip M. Brown's profile →
Citations per field
00.5×2.7×
Philip M. Brown · 1×
Citations per year

Countries citing papers authored by Dan Xu

Since Specialization
Citations

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

Fields of papers citing papers by Dan Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Rheumatoid arthritis: pathological mechanisms and modern pharmacologic therapies
Hit paper breakdown →
20181268
2 2010129
3 202190
4 201959
5 201947
6 202136
7 201233
8 202232
9 200931
10 202028
11 200627
12 201823
13 199823
14 201122
15 202419
16 202018
17 201717
18 202016
19 202115
20
Effects of single nucleotide polymorphisms 869 T/C and 915 G/C in the exon 1 locus of transforming growth factor-beta1 gene on chronic obstructive pulmonary disease susceptibility in Chinese.
201014

About Dan Xu

Dan Xu is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health, Physiology, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 73 papers that have together received 2.2k indexed citations. Recurring topics across this work include Trypanosoma species research and implications (4 papers), Diet and metabolism studies (4 papers), Muscle metabolism and nutrition (3 papers), COVID-19 and Mental Health (3 papers), Diabetes Treatment and Management (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Innovations in Medical Education (3 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). The work is most often cited by research in Rheumatology (572 citations), Immunology (287 citations), Biological Psychiatry (32 citations), Hematology (134 citations) and Pharmacology (93 citations). Dan Xu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Johannes C. Nossent, Nathan J. Pavlos, Jiake Xu, Qiang Guo, Yuxiang Wang, Rick L. Tarleton, Cecilia Pérez Brandán, Ángel M. Padilla, Yi-Man Teng and Kun‐Shan Wu. Their work appears in journals such as BMJ Open, PLoS neglected tropical diseases, Metabolism, Coronary Artery Disease and BMC Microbiology.

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