Guanglong He

64 papers receiving 2.2k citations

Peers

Guanglong He
Comparison fields: 5 of 133
  • Biophysics 560
  • Rehabilitation 126
  • Physiology 413
  • Radiology, Nuclear Medicine and Imaging 323
  • Pathology and Forensic Medicine 249
Replace Benjamin Yang with:
Benjamin Yang United States
Frank Fischer Germany
Liming Yang China
Abdu I. Alayash United States
Francesca Silvagno Italy
Paul W. Buehler United States
Yasuo Shinohara Japan
Luís Monteiro Rodrigues Portugal
Yabin Wang China
Sang‐Hee Lee South Korea
Guanglong He relative to Benjamin Yang United States Benjamin Yang's profile →
Citations per field
00.5×5.7×
Benjamin Yang · 1×
Citations per year

Countries citing papers authored by Guanglong He

Since Specialization
Citations

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

Fields of papers citing papers by Guanglong He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999309
2 2011171
3 2005106
4 2008100
5 200580
6 200156
7 201654
8 200753
9 200251
10 200650
11 200550
12 200550
13 200248
14 200747
15 201142
16 200342
17 200241
18 200640
19 200440
20 200736

About Guanglong He

Guanglong He is a scholar working on Biophysics, Physiology, Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 66 papers that have together received 2.3k indexed citations. Recurring topics across this work include Electron Spin Resonance Studies (28 papers), Cardiac Ischemia and Reperfusion (12 papers), Advanced MRI Techniques and Applications (10 papers), Nitric Oxide and Endothelin Effects (7 papers), Lanthanide and Transition Metal Complexes (6 papers), Adipose Tissue and Metabolism (6 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers) and Cardiac Arrest and Resuscitation (5 papers). The work is most often cited by research in Biophysics (560 citations), Rehabilitation (126 citations), Physiology (413 citations), Radiology, Nuclear Medicine and Imaging (323 citations) and Pathology and Forensic Medicine (249 citations). Guanglong He has collaborated with scholars based in United States, China and Denmark. Frequent co-authors include Jay L. Zweíer, Periannan Kuppusamy, Alexandre Samouilov, Michael Chzhan, Yuanmu Deng, Ravi Shankar, Yeong-Renn Chen, Haihong Li, Bjørn Richelsen and Aina S. Lihn. Their work appears in journals such as Journal of Magnetic Resonance, Magnetic Resonance in Medicine, American Journal of Physiology-Heart and Circulatory Physiology, PLoS ONE and Journal of Cellular and Molecular 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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