Kai Guan

81 papers receiving 2.1k citations

Kai Guan's Hit Papers

The deadly coronaviruses: The 2003 SARS pandemic and the 2020 novel coronavirus epidemic in China 2020 · 736 citations
7360+2+4Years since publication200400600

Peers

Kai Guan
Comparison fields: 5 of 162
  • Modeling and Simulation 142
  • Immunology and Allergy 180
  • Infectious Diseases 462
  • Immunology 391
  • Hepatology 105
Replace George Sourvinos with:
George Sourvinos Greece
Moon‐Woo Seong South Korea
Jing Wu China
Vincenzo Esposito Italy
William J. Muller United States
Yonat Shemer‐Avni Israel
Li‐Mei Chen United States
Yang Pan China
Ying Luo China
Cavan Reilly United States
Kai Guan relative to George Sourvinos Greece George Sourvinos's profile →
Citations per field
00.5×4.7×
George Sourvinos · 1×
Citations per year

Countries citing papers authored by Kai Guan

Since Specialization
Citations

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

Fields of papers citing papers by Kai Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The deadly coronaviruses: The 2003 SARS pandemic and the 2020 novel coronavirus epidemic in China
Hit paper breakdown →
2020736
2 2010196
3 200398
4 201390
5 201580
6 200775
7 201474
8 201351
9 201840
10 202138
11 201538
12 201232
13 200927
14 201327
15 201626
16 202024
17 201623
18 201823
19 202022
20
Advances in the clinical and mechanism research of pollen induced seasonal allergic asthma.
201921

About Kai Guan

Kai Guan is a scholar working on Immunology and Allergy, Physiology, Dermatology, Pharmacology and Surgery, having authored 97 papers that have together received 2.1k indexed citations. Recurring topics across this work include Allergic Rhinitis and Sensitization (40 papers), Asthma and respiratory diseases (26 papers), Food Allergy and Anaphylaxis Research (18 papers), Dermatology and Skin Diseases (15 papers), Spine and Intervertebral Disc Pathology (11 papers), interferon and immune responses (8 papers), Pediatric health and respiratory diseases (7 papers) and Musculoskeletal pain and rehabilitation (7 papers). The work is most often cited by research in Modeling and Simulation (142 citations), Immunology and Allergy (180 citations), Infectious Diseases (462 citations), Immunology (391 citations) and Hepatology (105 citations). Kai Guan has collaborated with scholars based in China, United States and Saint Kitts and Nevis. Frequent co-authors include Christopher Chang, Runsheng Wang, Guogang Xu, Fujun Peng, Taijiao Jiang, Yongshi Yang, Jinlyu Sun, Congwen Wei, Zirui Zheng and Lisha Li. Their work appears in journals such as World Allergy Organization Journal, Clinical and Translational Allergy, The Journal of Immunology, Journal of Allergy and Clinical Immunology and Frontiers in Immunology.

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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