Leiming Wang

1.3k citations
62 papers · 779 · 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
    • Chromatin Remodeling and Cancer 4
    • Epigenetics and DNA Methylation 3

Leiming Wang

58 papers receiving 774 citations

Peers

Leiming Wang
Comparison fields: 5 of 87
  • Genetics 290
  • Neurology 111
  • Cellular and Molecular Neuroscience 94
  • Structural Biology 7
  • Radiology, Nuclear Medicine and Imaging 97
Replace Dominique Figarella‐Branger with:
Dominique Figarella‐Branger France
H. J. Reulen Germany
Daniela Pierscianek Germany
Aurelio Hernández‐Laín Spain
Jason Schroeder United States
Radim Jančálek Czechia
Julia Onken Germany
Daniel Delev Germany
Michiel Wagemakers Netherlands
Nicholas G. Avgeropoulos United States
Leiming Wang relative to Dominique Figarella‐Branger France Dominique Figarella‐Branger's profile →
Citations per field
00.5×10×12.5×
Dominique Figarella‐Branger · 1×
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 202174
3 202062
4 201357
5 202437
6 201435
7 202027
8 201725
9 202323
10 201822
11 202421
12 201217
13 201117
14 200916
15 202114
16 202114
17 202313
18 202113
19 201013
20 201512

About Leiming Wang

Leiming Wang is a scholar working on Genetics, Molecular Biology, Neurology, Radiology, Nuclear Medicine and Imaging and Endocrinology, Diabetes and Metabolism, having authored 62 papers that have together received 779 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (24 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Neurofibromatosis and Schwannoma Cases (4 papers), Neuroblastoma Research and Treatments (4 papers), Chromatin Remodeling and Cancer (4 papers), Epigenetics and DNA Methylation (3 papers), Thyroid Cancer Diagnosis and Treatment (3 papers) and Meningioma and schwannoma management (3 papers). The work is most often cited by research in Genetics (290 citations), Neurology (111 citations), Cellular and Molecular Neuroscience (94 citations), Structural Biology (7 citations) and Radiology, Nuclear Medicine and Imaging (97 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, Jie Lu, Shuangshuang Song and Ming Zhang. Their work appears in journals such as Brain Pathology, Frontiers in Oncology, European Radiology, Frontiers in Pharmacology and Optimal Control Applications and Methods.

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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