Qingjun Jiang

749 citations
43 papers · 567 · h-index 12

Impact in

Papers in

Qingjun Jiang

37 papers receiving 555 citations

Peers

Qingjun Jiang
Comparison fields: 5 of 89
  • Health, Toxicology and Mutagenesis 127
  • Critical Care and Intensive Care Medicine 38
  • Physiology 180
  • Cardiology and Cardiovascular Medicine 96
  • Cognitive Neuroscience 78
Replace Elisa Maria Fiorelli with:
Elisa Maria Fiorelli Italy
Keyne Charlot France
Elisa Perger Italy
Grant Justin Landers Australia
Takeshi Nakamura Japan
J. A. Raymakers Netherlands
Christian F. Bulcao United States
John Luke Pryor United States
Taiki Miyazawa Japan
Lotte G.M. Cremers Netherlands
Qingjun Jiang relative to Elisa Maria Fiorelli Italy Elisa Maria Fiorelli's profile →
Citations per field
00.5×2×4×6.1×
Elisa Maria Fiorelli · 1×
Citations per year

Countries citing papers authored by Qingjun Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Qingjun Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201371
2 201461
3 201459
4 201252
5 201343
6 201433
7 201331
8 201325
9 201623
10 201121
11 201913
12 201812
13 202512
14 201411
15 201510
16 20159
17 20178
18 20228
19 20177
20 20127

About Qingjun Jiang

Qingjun Jiang is a scholar working on Cognitive Neuroscience, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Physiology and Experimental and Cognitive Psychology, having authored 43 papers that have together received 567 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (6 papers), Thermoregulation and physiological responses (4 papers), Cerebrovascular and Carotid Artery Diseases (4 papers), Neural dynamics and brain function (3 papers), Heart Rate Variability and Autonomic Control (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Cancer-related molecular mechanisms research (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (127 citations), Critical Care and Intensive Care Medicine (38 citations), Physiology (180 citations), Cardiology and Cardiovascular Medicine (96 citations) and Cognitive Neuroscience (78 citations). Qingjun Jiang has collaborated with scholars based in China, United States and Austria. Frequent co-authors include Gang Sun, Min Li, Shaowen Qian, Lun Zhao, Kai Liu, Xiao Yang, Bo Li, Zhen Yang, Zhenyu Zhou and Bo Li. Their work appears in journals such as International Journal of Hyperthermia, Frontiers in Aging Neuroscience, Behavioural Brain Research, World Neurosurgery and Disease Markers.

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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