Jun Hu

3.6k citations
128 papers · 2.7k indexed · 1 hit paper · h-index 24
Topics
Functional Brain Connectivity Studies (9 papers)Amyotrophic Lateral Sclerosis Research (8 papers)Advanced Neuroimaging Techniques and Applications (7 papers)

In The Last Decade

Jun Hu

113 papers receiving 2.6k citations

Hit Papers

Attributable Mortality of Nosocomial Candidemia, Revisited20032026201020182003250500750

Peers

Jun Hu
Comparison fields: 5 of 131
  • Infectious Diseases 838
  • Epidemiology 706
  • Molecular Biology 623
  • Nutrition and Dietetics 221
  • Pulmonary and Respiratory Medicine 212
Replace Yali Li with:
Yali Li China
Rui Zhou China
Jialin Liu China
R L Simmons United States
Daxiong Xiang China
Ying Hu China
Dan Ye China
Ravikumar Aalinkeel United States
Zhaoliang Su China
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Jun Hu relative to Yali Li China Yali Li's profile →
Citations per field
00.5×4.2×
Yali Li · 1×
Citations per year

Countries citing papers authored by Jun Hu

Since Specialization
Citations

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

Fields of papers citing papers by Jun Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Hu. A scholar is included among the top collaborators of Jun Hu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jun Hu. Jun Hu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 0
4 2
5 1
6 0
7 1
8 2
9 0
10 1
11 4
12 6
13 4
14 44
15 3
16 100
17 14
18
Chemical Constituents of Near Ripe Fruits of Evodia rutaecarpa var. bodinieri
2
19
Extracorporeal Shock Wave Promotes Postnatal Human Bone Marrow Stromal Cells Osteogenesis In vivo
2
20
[Study on the clinical misdiagnosis of hepatolenticular degeneration].
8

About Jun Hu

Jun Hu is a scholar working on Neurology, Neurology and Genetics, having authored 128 papers that have together received 2.7k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (9 papers), Amyotrophic Lateral Sclerosis Research (8 papers) and Advanced Neuroimaging Techniques and Applications (7 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (117 citations), Infectious Diseases (838 citations) and Epidemiology (706 citations). Jun Hu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Michael A. Pfaller, Daniel J. Diekema, Stephen H. Gillespie, Loreen A. Herwaldt, Ólafur Guðlaugsson, Kyungwon Lee, S. A. Messer, Hua Feng, Jiuquan Zhang and Dinglin Zhang. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and PLoS ONE.

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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