Liu Runqing

539 citations
4 papers · 296 indexed · 1 hit paper · h-index 2
Topics
Pneumocystis jirovecii pneumonia detection and treatment (2 papers)Tuberculosis Research and Epidemiology (2 papers)COVID-19 epidemiological studies (1 paper)
Journals
JAMA Network OpenFrontiers in MedicineSSRN Electronic Journal
Partner nations
ChinaCanada

In The Last Decade

Liu Runqing

4 papers receiving 289 citations

Hit Papers

Global Percentage of Asymptomatic SARS-CoV-2 Infections A...2021202620222024202150100150200250

Peers

Liu Runqing
Comparison fields: 5 of 82
  • Infectious Diseases 190
  • Modeling and Simulation 92
  • Epidemiology 44
  • Neurology 43
  • Clinical Psychology 37
Replace Sojung Yoon with:
Sojung Yoon South Korea
Amirata Fakhfouri Iran
Ali Nizar Latif Qatar
Hengameh Mojdeganlou Iran
Thomas J. Duszynski United States
Pia Behrens Germany
P Tiarks-Jungk Germany
Nolan N. Pokpongkiat United States
Camino Trobajo‐Sanmartín Spain
Deepa Vasireddy United States
Liu Runqing relative to Sojung Yoon South Korea Sojung Yoon's profile →
Citations per field
00.5×
Sojung Yoon · 1×
Citations per year

Countries citing papers authored by Liu Runqing

Since Specialization
Citations

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

Fields of papers citing papers by Liu Runqing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liu Runqing

This figure shows the co-authorship network connecting the top 25 collaborators of Liu Runqing. A scholar is included among the top collaborators of Liu Runqing 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 Liu Runqing. Liu Runqing is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

4 of 4 papers shown
#WorkIndexed citations
1 1
2 18
3
Global Percentage of Asymptomatic SARS-CoV-2 Infections Among the Tested Population and Individuals With Confirmed COVID-19 Diagnosisbreakdown →
276
4 1

About Liu Runqing

Liu Runqing is a scholar working on Modeling and Simulation, Infectious Diseases and Obstetrics and Gynecology, having authored 4 papers that have together received 296 indexed citations. Recurring topics across this work include Pneumocystis jirovecii pneumonia detection and treatment (2 papers), Tuberculosis Research and Epidemiology (2 papers) and COVID-19 epidemiological studies (1 paper). The work is most often cited by research in Modeling and Simulation (92 citations), Infectious Diseases (190 citations) and Neurology (43 citations). Liu Runqing has collaborated with scholars based in China and Canada. Frequent co-authors include Qiao Liu, Jue Liu, Min Liu, Liangyu Kang, Wenzhan Jing, Yu Wu, Qiuyue Ma and Wenxin Yan. Their work appears in journals such as JAMA Network Open, Frontiers in Medicine and SSRN Electronic 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

Rankless by CCL
2026