Xiaoming Che

1.6k citations
41 papers · 1.3k · h-index 18

Impact in

  • Neurology top 2%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Neurological Disorders and Treatments
  • Genetics top 10%
    • Glioma Diagnosis and Treatment

Papers in

Xiaoming Che

40 papers receiving 1.3k citations

Peers

Xiaoming Che
Comparison fields: 5 of 77
  • Neurology 317
  • Genetics 130
  • Developmental Neuroscience 34
  • Epidemiology 265
  • Anatomy 15
Replace Motohiro Nomura with:
Motohiro Nomura Japan
Rong Xie China
Shangfeng Zhao China
Yaning Li China
Roberta P. Glick United States
Aysan Durukan Finland
Huaqiu Zhang China
Luokun Xie United States
Sae‐Won Lee South Korea
Xiaoming Che relative to Motohiro Nomura Japan Motohiro Nomura's profile →
Citations per field
00.5×2×3×4.3×
Motohiro Nomura · 1×
Citations per year

Countries citing papers authored by Xiaoming Che

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoming Che

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002228
2 2002207
3 2001183
4 200964
5 201060
6 201760
7 200950
8 201439
9 200932
10 201329
11 201324
12 201423
13
Papillary meningioma: clinical and histopathological observations.
201322
14 200921
15 201221
16 201120
17 201818
18 201818
19 201317
20 201315

About Xiaoming Che

Xiaoming Che is a scholar working on Epidemiology, Genetics, Neurology, Rheumatology and Neurology, having authored 41 papers that have together received 1.3k indexed citations. Recurring topics across this work include Meningioma and schwannoma management (14 papers), Glioma Diagnosis and Treatment (6 papers), Hedgehog Signaling Pathway Studies (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Head and Neck Surgical Oncology (2 papers), TGF-β signaling in diseases (2 papers), Neurofibromatosis and Schwannoma Cases (2 papers) and Vascular Malformations Diagnosis and Treatment (2 papers). The work is most often cited by research in Neurology (317 citations), Genetics (130 citations), Developmental Neuroscience (34 citations), Epidemiology (265 citations) and Anatomy (15 citations). Xiaoming Che has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Guo‐Yuan Yang, Susanne Klumpp, Barbara Ahlemeyer, Carsten Culmsee, Josef Krieglstein, Daming Cui, Wen Ye, Yuan Shan Zhu, Ke Wang and Yuan Zhu. Their work appears in journals such as World Neurosurgery, Acta Neurochirurgica, Clinical Neurology and Neurosurgery, Medicine and Neurological Research.

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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