Jiahui Su

22 papers receiving 495 citations

Peers

Jiahui Su
Comparison fields: 5 of 79
  • Endocrinology, Diabetes and Metabolism 195
  • Cardiology and Cardiovascular Medicine 218
  • Aging 9
  • Cognitive Neuroscience 93
  • Biological Psychiatry 11
Replace Beatriz Merino with:
Beatriz Merino Spain
I. Williams United Kingdom
Bernd Fruehwald‐Schultes Germany
Michiko Ono‐Kishino Japan
Joana F. Sacramento Portugal
Xu Hou China
Aline M. Hilzendeger United States
Luciana Vergnani Italy
A Pernet United Kingdom
Michael Gejl Denmark
Jiahui Su relative to Beatriz Merino Spain Beatriz Merino's profile →
Citations per field
00.5×2.9×
Beatriz Merino · 1×
Citations per year

Countries citing papers authored by Jiahui Su

Since Specialization
Citations

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

Fields of papers citing papers by Jiahui Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201692
2 201669
3 200754
4 201939
5 202036
6 202136
7 201830
8 202021
9 202117
10 202117
11 201817
12 202116
13 201712
14 201812
15 20219
16 20228
17 20225
18 20222
19 20072
20 20221

About Jiahui Su

Jiahui Su is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 25 papers that have together received 497 indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (7 papers), Hormonal Regulation and Hypertension (6 papers), Functional Brain Connectivity Studies (5 papers), Dementia and Cognitive Impairment Research (4 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (3 papers), Parathyroid Disorders and Treatments (2 papers) and Advanced MRI Techniques and Applications (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (195 citations), Cardiology and Cardiovascular Medicine (218 citations), Aging (9 citations), Cognitive Neuroscience (93 citations) and Biological Psychiatry (11 citations). Jiahui Su has collaborated with scholars based in China, United States and France. Frequent co-authors include Tianxin Yang, Aihua Lu, Fei Wang, Xiaohan Lu, Kexin Peng, Shu-Feng Zhou, Kevin Yang, Chuanming Xu, Gaoxiong Duan and Lihua Zhao. Their work appears in journals such as American Journal of Physiology-Renal Physiology, Frontiers in Aging Neuroscience, Molecular Psychiatry, Information Sciences and British Journal of Pharmacology.

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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