Hui You

116 papers receiving 1.6k citations

Peers

Hui You
Comparison fields: 5 of 112
  • Neurology 179
  • Genetics 127
  • Biochemistry 60
  • Neurology 79
  • Radiology, Nuclear Medicine and Imaging 200
Replace Misa Nakamura with:
Misa Nakamura Japan
Sebastian J. Buss Germany
Jerome W. Breslin United States
Ilaria Canobbio Italy
Qiang Li China
Claudio Favre Italy
Cinzia Perrino Italy
Andrea Flex Italy
Kilian Rittig Germany
Larissa Prata United States
Hui You relative to Misa Nakamura Japan Misa Nakamura's profile →
Citations per field
00.5×
Misa Nakamura · 1×
Citations per year

Countries citing papers authored by Hui You

Since Specialization
Citations

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

Fields of papers citing papers by Hui You

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 126 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008112
2 201475
3 200862
4 201757
5 200657
6
RRR-alpha-tocopheryl succinate induction of prolonged activation of c-jun amino-terminal kinase and c-jun during induction of apoptosis in human MDA-MB-435 breast cancer cells.
199855
7 201143
8 201943
9 201742
10 201535
11 201234
12 201834
13 201331
14 201731
15 202030
16 202030
17 200929
18 201627
19 201226
20 202126

About Hui You

Hui You is a scholar working on Neurology, Molecular Biology, Pulmonary and Respiratory Medicine, Oncology and Rheumatology, having authored 126 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cerebrovascular and Carotid Artery Diseases (8 papers), Glioma Diagnosis and Treatment (7 papers), Global Cancer Incidence and Screening (6 papers), Intracerebral and Subarachnoid Hemorrhage Research (5 papers), Advanced MRI Techniques and Applications (4 papers), IgG4-Related and Inflammatory Diseases (4 papers), Cellular Mechanics and Interactions (4 papers) and Acute Ischemic Stroke Management (4 papers). The work is most often cited by research in Neurology (179 citations), Genetics (127 citations), Biochemistry (60 citations), Neurology (79 citations) and Radiology, Nuclear Medicine and Imaging (200 citations). Hui You has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Feng Feng, Stelios T. Andreadis, Deborah Baker, Stephen Morrell, Bo Hou, Suzanne G. Laychock, David Roder, Richard Walton, Stella Alimperti and Sandeep K. Agarwal. Their work appears in journals such as Cancer Epidemiology, Journal of Cell Science, Frontiers in Endocrinology, European Radiology 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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