Jun‐Hong Yan

2.7k citations
20 papers · 1.8k indexed · 1 hit paper · h-index 14
Topics
Chronic Obstructive Pulmonary Disease (COPD) Research (5 papers)Respiratory Support and Mechanisms (4 papers)SARS-CoV-2 and COVID-19 Research (3 papers)
Partner nations
ChinaUnited States

In The Last Decade

Jun‐Hong Yan

20 papers receiving 1.7k citations

Hit Papers

Clinical Characteristics of COVID-19 Patients With Digest...202020262022202420204008001.2k

Peers

Jun‐Hong Yan
Comparison fields: 5 of 117
  • Infectious Diseases 938
  • Neurology 487
  • Pulmonary and Respiratory Medicine 302
  • Oncology 245
  • Surgery 200
Replace Francisco Javier Martín‐Sánchez with:
Francisco Javier Martín‐Sánchez Spain
Mei Jiang China
Ernesto Crisafulli Italy
Jennifer L. Wiltz United States
Claire E. Hastie United Kingdom
Bogdan Timar Romania
Matthew Knight United Kingdom
K. J. Gorter Netherlands
Claudia Steurer‐Stey Switzerland
Preeti Malik United States
Jun‐Hong Yan relative to Francisco Javier Martín‐Sánchez Spain Francisco Javier Martín‐Sánchez's profile →
Citations per field
00.5×4.4×
Francisco Javier Martín‐Sánchez · 1×
Citations per year

Countries citing papers authored by Jun‐Hong Yan

Since Specialization
Citations

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

Fields of papers citing papers by Jun‐Hong Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun‐Hong Yan. 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 Jun‐Hong Yan. The network helps show where Jun‐Hong Yan may publish in the future.

Co-authorship network of co-authors of Jun‐Hong Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Jun‐Hong Yan. A scholar is included among the top collaborators of Jun‐Hong Yan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jun‐Hong Yan. Jun‐Hong Yan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 6
3 10
4 27
5
Clinical Characteristics of COVID-19 Patients With Digestive Symptoms in Hubei, China: A Descriptive, Cross-Sectional, Multicenter Studybreakdown →
1234
6 7
7 16
8 26
9 8
10 64
11 40
12 36
13 55
14 67
15 22
16 60
17 7
18 25
19 17
20 68

About Jun‐Hong Yan

Jun‐Hong Yan is a scholar working on Complementary and Manual Therapy, Critical Care and Intensive Care Medicine and Pulmonary and Respiratory Medicine, having authored 20 papers that have together received 1.8k indexed citations. Recurring topics across this work include Chronic Obstructive Pulmonary Disease (COPD) Research (5 papers), Respiratory Support and Mechanisms (4 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). The work is most often cited by research in Infectious Diseases (938 citations), Neurology (487 citations) and Critical Care and Intensive Care Medicine (114 citations). Jun‐Hong Yan has collaborated with scholars based in China and United States. Frequent co-authors include Lei Pan, Pibao Li, Yingzhen Du, Yuan Jin, Runsheng Wang, Qinyong Hu, Lei Tu, Chao Hu, Pengcheng Yang and Mi Mu. Their work appears in journals such as PLoS ONE, The American Journal of Gastroenterology and Medicine.

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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2026