Tiehe Qin

1.2k total citations
31 papers, 401 citations indexed

About

Tiehe Qin is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Tiehe Qin has authored 31 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Epidemiology, 8 papers in Pulmonary and Respiratory Medicine and 7 papers in Critical Care and Intensive Care Medicine. Recurrent topics in Tiehe Qin's work include Sepsis Diagnosis and Treatment (11 papers), Respiratory Support and Mechanisms (7 papers) and Intensive Care Unit Cognitive Disorders (5 papers). Tiehe Qin is often cited by papers focused on Sepsis Diagnosis and Treatment (11 papers), Respiratory Support and Mechanisms (7 papers) and Intensive Care Unit Cognitive Disorders (5 papers). Tiehe Qin collaborates with scholars based in China and United States. Tiehe Qin's co-authors include Daozheng Huang, Xuebiao Wei, Shouhong Wang, Feier Song, Xingji Lian, Huan Ma, Huan Ma, Wei Chen, Zhonghua Wang and Huiqing Yuan and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Life Sciences and European Journal of Pharmacology.

In The Last Decade

Tiehe Qin

30 papers receiving 392 citations

Peers

Tiehe Qin
Comparison fields: 5 of 82
  • Infectious Diseases 124
  • Pulmonary and Respiratory Medicine 104
  • Critical Care and Intensive Care Medicine 87
  • Epidemiology 68
  • Neurology 61
Replace Renhua Sun with:
Renhua Sun China
Januar Wibawa Martha Indonesia
Д. Н. Проценко Russia
Corinna N. Lang Germany
Khaled Elhusseiny Egypt
Sanjeev Kumar India
Ali Khawaja Pakistan
Vrinda Trivedi United States
Diego Martínez‐Urbistondo Spain
Bülent Altınsoy Türkiye
Renhua Sun China View profile →
Citations per field, relative to Tiehe Qin
Tiehe Qin · 1×
Citations per year, relative to Tiehe Qin
Tiehe Qin · 1×

Countries citing papers authored by Tiehe Qin

Since Specialization
Citations

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

Fields of papers citing papers by Tiehe Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tiehe Qin

This figure shows the co-authorship network connecting the top 25 collaborators of Tiehe Qin. A scholar is included among the top collaborators of Tiehe Qin 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 Tiehe Qin. Tiehe Qin 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
# Work Indexed citations
1 2
2 2
3 1
4 12
5 10
6 28
7 27
8 2
9 13
10 1
11 9
12 61
13 37
14 7
15 21
16 29
17 14
18 11
19 9
20 29

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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