Xiaoru Long

455 citations
21 papers · 292 · h-index 9

Impact in

Papers in

    • Respiratory viral infections research 9
    • Tuberculosis Research and Epidemiology 2
    • Viral gastroenteritis research and epidemiology 2
    • SARS-CoV-2 detection and testing 1

Xiaoru Long

21 papers receiving 291 citations

Peers

Xiaoru Long
Comparison fields: 5 of 58
  • Geriatrics and Gerontology 37
  • Epidemiology 145
  • Infectious Diseases 56
  • Immunology 49
  • Pulmonary and Respiratory Medicine 57
Replace Shunhang Wen with:
Shunhang Wen China
Boyu Li China
Hílton Antônio Mata dos Santos Brazil
Sangbrita Chattoraj United States
Tatsuo Kubota Japan
Kate Regan United Kingdom
Chenjie Huang China
Mariana Gatto Brazil
Huixiong Deng China
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Citations per field
00.5×4.6×
Shunhang Wen · 1×
Citations per year

Countries citing papers authored by Xiaoru Long

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoru Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201462
2 201547
3 201440
4 201523
5 201621
6 201817
7 201715
8 202010
9 20209
10 20228
11 20197
12 20236
13 20246
14 20245
15
Effect of interferon-gamma on antigen-induced eosinophil infiltration into the mouse airway.
19963
16 20213
17 20203
18 20222
19 20162
20 20202

About Xiaoru Long

Xiaoru Long is a scholar working on Epidemiology, Infectious Diseases, Immunology, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 21 papers that have together received 292 indexed citations. Recurring topics across this work include Respiratory viral infections research (9 papers), Neonatal Respiratory Health Research (3 papers), Tuberculosis Research and Epidemiology (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Asthma and respiratory diseases (2 papers), Immune Cell Function and Interaction (2 papers), Phenothiazines and Benzothiazines Synthesis and Activities (1 paper) and SARS-CoV-2 detection and testing (1 paper). The work is most often cited by research in Geriatrics and Gerontology (37 citations), Epidemiology (145 citations), Infectious Diseases (56 citations), Immunology (49 citations) and Pulmonary and Respiratory Medicine (57 citations). Xiaoru Long has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Enmei Liu, Ren Luo, Xiaohong Xie, Na Zang, Jun Xie, Yu Deng, Simin Li, Lijia Wang, Xiaodong Zhao and Yu Deng. Their work appears in journals such as International Immunopharmacology, Frontiers in Immunology, Respiratory Research, Frontiers in Pediatrics and Journal of Virology.

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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