Xiaohui Ren

2.4k citations
101 papers · 1.6k · h-index 23

Impact in

  • Genetics top 1%
    • Glioma Diagnosis and Treatment
    • Mesenchymal stem cell research
  • Neurology top 5%
    • Neurofibromatosis and Schwannoma Cases

Papers in

    • Glioma Diagnosis and Treatment 46
    • Meningioma and schwannoma management 32

Xiaohui Ren

91 papers receiving 1.6k citations

Peers

Xiaohui Ren
Comparison fields: 5 of 121
  • Genetics 788
  • Neurology 267
  • Cancer Research 203
  • Epidemiology 356
  • Radiology, Nuclear Medicine and Imaging 202
Replace Mikael L. Rinne with:
Mikael L. Rinne United States
Steffen Albrecht Canada
Concha López‐Ginés Spain
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Takahiro Sakuma Japan
Rose Lai United States
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Citations per field
00.5×3.4×
Mikael L. Rinne · 1×
Citations per year

Countries citing papers authored by Xiaohui Ren

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohui Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011260
2 202388
3 201458
4 201153
5 201450
6 202049
7 201148
8 201943
9 201342
10 201438
11 201238
12 201936
13 202133
14 201329
15 201028
16 201527
17 201326
18 201626
19 202225
20 201125

About Xiaohui Ren

Xiaohui Ren is a scholar working on Genetics, Epidemiology, Neurology, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 101 papers that have together received 1.6k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (46 papers), Meningioma and schwannoma management (32 papers), Brain Metastases and Treatment (10 papers), Pituitary Gland Disorders and Treatments (10 papers), Neurofibromatosis and Schwannoma Cases (8 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Vascular Malformations Diagnosis and Treatment (6 papers) and MicroRNA in disease regulation (5 papers). The work is most often cited by research in Genetics (788 citations), Neurology (267 citations), Cancer Research (203 citations), Epidemiology (356 citations) and Radiology, Nuclear Medicine and Imaging (202 citations). Xiaohui Ren has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Song Lin, Haihui Jiang, Wenzhao Li, Fengping Dong, Yufang Shi, Yi Zhang, Xiaohong Chen, Guangwen Ren, Yong Cui and Zhongli Jiang. Their work appears in journals such as Journal of Neuro-Oncology, Journal of neurosurgery, Frontiers in Oncology, World Neurosurgery and European Radiology.

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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