Leiming Wang

1.2k citations
62 papers · 733 · h-index 15

Impact in

  • Genetics top 5%
    • Glioma Diagnosis and Treatment
  • Neurology top 10%
    • Neuroblastoma Research and Treatments

Papers in

    • Glioma Diagnosis and Treatment 24
    • Neuroblastoma Research and Treatments 6
    • Neurofibromatosis and Schwannoma Cases 5
    • Vascular Malformations Diagnosis and Treatment 3

Leiming Wang

55 papers receiving 727 citations

Peers

Leiming Wang
Comparison fields: 5 of 89
  • Genetics 318
  • Neurology 152
  • Structural Biology 11
  • Radiology, Nuclear Medicine and Imaging 141
  • Cellular and Molecular Neuroscience 100
Replace Daniel Delev with:
Daniel Delev Germany
Hani Malone United States
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Julia Onken Germany
Nicholas G. Avgeropoulos United States
Daniel G. du Plessis United Kingdom
Chitra Sarkar India
Dominique Figarella‐Branger France
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Citations per field
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Citations per year

Countries citing papers authored by Leiming Wang

Since Specialization
Citations

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

Fields of papers citing papers by Leiming Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201890
2 202171
3 202061
4 201355
5 201434
6 202430
7 202023
8 201723
9 201821
10 202320
11 201217
12 201117
13 202416
14 200915
15 202114
16 201013
17 202312
18 201912
19 201712
20 201512

About Leiming Wang

Leiming Wang is a scholar working on Genetics, Neurology, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 62 papers that have together received 733 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (24 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Neuroblastoma Research and Treatments (6 papers), Meningioma and schwannoma management (5 papers), Neurofibromatosis and Schwannoma Cases (5 papers), Chromatin Remodeling and Cancer (4 papers), Vascular Malformations Diagnosis and Treatment (3 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Genetics (318 citations), Neurology (152 citations), Structural Biology (11 citations), Radiology, Nuclear Medicine and Imaging (141 citations) and Cellular and Molecular Neuroscience (100 citations). Leiming Wang has collaborated with scholars based in China, United States and France. Frequent co-authors include Yukui Wei, Dehong Lu, Lianghong Teng, Ye Cheng, Yueshan Piao, Lin Q, Li Chen, Shuangshuang Song, Jie Lu and Ming Zhang. Their work appears in journals such as Brain Pathology, Frontiers in Oncology, European Radiology, Scientific Reports and World Neurosurgery.

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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