Jun Fu

455 citations
23 papers · 305 · h-index 9

Impact in

Papers in

Jun Fu

22 papers receiving 303 citations

Peers

Jun Fu
Comparison fields: 5 of 65
  • Cellular and Molecular Neuroscience 78
  • Neurology 34
  • Cancer Research 54
  • Genetics 35
  • Neurology 47
Replace Juliana M. Coelho‐Aguiar with:
Juliana M. Coelho‐Aguiar Brazil
Huixian Hong United States
Alexandre Savard Canada
Cathrin J. Czupalla Germany
Yohan Kim United States
Trevor J. McFarland United States
Aymeric Ravel‐Chapuis Canada
Meritxell B. Cutrona Italy
Yangyang Zheng China
Jun Fu relative to Juliana M. Coelho‐Aguiar Brazil Juliana M. Coelho‐Aguiar's profile →
Citations per field
00.5×1.5×2.5×
Juliana M. Coelho‐Aguiar · 1×
Citations per year

Countries citing papers authored by Jun Fu

Since Specialization
Citations

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

Fields of papers citing papers by Jun Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022114
2 201636
3
Cerebrospinal fluid biomarkers for brain tumor detection: clinical roles and current progress.
202032
4 202126
5 201715
6 201714
7 201912
8 201011
9 201811
10 20197
11 20194
12
Negative pressure sealing drainage technology combined with adequate irrigation for oral and maxillofacial space infection can improve serum inflammatory factor levels.
20234
13 20184
14 20193
15
Classification for Some Sterile Lines and Their Restorers of Hybrid Rice with SSR Markers
20062
16
On growth character of young trees of Populus cathayana of different provenances
20042
17 20222
18 20202
19
The relationship between net photosynthetic rate and transpiration rate of several kiwifruit strains, and environmental factors
19981
20 20201

About Jun Fu

Jun Fu is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Neurology, Plant Science and Neurology, having authored 23 papers that have together received 305 indexed citations. Recurring topics across this work include Hereditary Neurological Disorders (8 papers), Genetic Neurodegenerative Diseases (7 papers), Neurological diseases and metabolism (3 papers), Muscle Physiology and Disorders (3 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Amyotrophic Lateral Sclerosis Research (2 papers), Cardiomyopathy and Myosin Studies (2 papers) and Peripheral Neuropathies and Disorders (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (78 citations), Neurology (34 citations), Cancer Research (54 citations), Genetics (35 citations) and Neurology (47 citations). Jun Fu has collaborated with scholars based in China and United States. Frequent co-authors include Yun Yuan, Hong Wang, Zhenyu Xu, Xia Wu, Ming Dong, Liang Zhao, Liangliang Cao, Mingming Ma, Jia Song and Zhaoxia Wang. Their work appears in journals such as Neuromuscular Disorders, Neuropathology, Acta Neuropathologica Communications, Neurological Research and Frontiers in Genetics.

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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