Hong Ran

657 citations
34 papers · 491 · h-index 13

Impact in

  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Neurological Disease Mechanisms and Treatments
  • Physiology top 10%
    • Adenosine and Purinergic Signaling

Papers in

Hong Ran

32 papers receiving 484 citations

Peers

Hong Ran
Comparison fields: 5 of 66
  • Neurology 104
  • Physiology 29
  • Cardiology and Cardiovascular Medicine 106
  • Critical Care and Intensive Care Medicine 18
  • Developmental Neuroscience 13
Replace Jinghui Li with:
Jinghui Li China
Clara Correa‐Paz Spain
Ananya Chakraborty United States
Jianyuan Jiang China
Atsushi Mizuma Japan
Xingjian Zhang China
Joseph A. Palatinus United States
Junming Ye China
C Hanusch Germany
Hong Ran relative to Jinghui Li China Jinghui Li's profile →
Citations per field
00.5×
Jinghui Li · 1×
Citations per year

Countries citing papers authored by Hong Ran

Since Specialization
Citations

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

Fields of papers citing papers by Hong Ran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021120
2 202361
3 201856
4 201924
5 201221
6 201421
7 201219
8 201719
9 202015
10 202214
11 201514
12 202012
13 201812
14 202010
15 201610
16 20199
17 20208
18 20207
19 20197
20 20205

About Hong Ran

Hong Ran is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Neurology, Physiology and Molecular Biology, having authored 34 papers that have together received 491 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Pulmonary Hypertension Research and Treatments (5 papers), Adenosine and Purinergic Signaling (4 papers), Neurological Disease Mechanisms and Treatments (4 papers), Cardiac Valve Diseases and Treatments (3 papers), Ultrasound and Hyperthermia Applications (2 papers) and Barrier Structure and Function Studies (2 papers). The work is most often cited by research in Neurology (104 citations), Physiology (29 citations), Cardiology and Cardiovascular Medicine (106 citations), Critical Care and Intensive Care Medicine (18 citations) and Developmental Neuroscience (13 citations). Hong Ran has collaborated with scholars based in China, Austria and Germany. Frequent co-authors include Jialu Huang, Zhenhua Zhou, Matthias Schneider, Jie Wang, Pingyang Zhang, Thomas Binder, Georg Goliasch, Iréne Lang, Julia Mascherbauer and Linke Zhou. Their work appears in journals such as International journal of cardiac imaging, PLoS ONE, Journal of Thoracic Imaging, Scientific Reports 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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