Lingyang Hua

876 citations
49 papers · 586 · h-index 15

Impact in

  • Neurology top 5%
    • Neurofibromatosis and Schwannoma Cases
  • Genetics top 10%
    • Glioma Diagnosis and Treatment

Papers in

    • Meningioma and schwannoma management 29
    • Neurofibromatosis and Schwannoma Cases 18
    • Vascular Malformations Diagnosis and Treatment 3

Lingyang Hua

44 papers receiving 580 citations

Peers

Lingyang Hua
Comparison fields: 5 of 59
  • Neurology 201
  • Genetics 119
  • Epidemiology 295
  • Cancer Research 90
  • Endocrinology, Diabetes and Metabolism 70
Replace Ashwini Sunkavalli with:
Ashwini Sunkavalli United States
Mareina Kudo Japan
Hisashi Takino Japan
Jan Sperveslage Germany
Fadime Dogan Netherlands
Itsuko Nakamichi Japan
Yang‐Seok Chae South Korea
Bobby P. C. Koeleman Netherlands
A. O. Vortmeyer United States
Christine Biondi Australia
Lingyang Hua relative to Ashwini Sunkavalli United States Ashwini Sunkavalli's profile →
Citations per field
00.5×4.4×
Ashwini Sunkavalli · 1×
Citations per year

Countries citing papers authored by Lingyang Hua

Since Specialization
Citations

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

Fields of papers citing papers by Lingyang Hua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201957
2 202155
3 201443
4 201838
5 201735
6 202234
7 201726
8 201722
9 201918
10 202317
11 201717
12 201916
13 202215
14 201814
15 202014
16 201614
17 201912
18 202012
19 202210
20 200510

About Lingyang Hua

Lingyang Hua is a scholar working on Epidemiology, Neurology, Surgery, Molecular Biology and Genetics, having authored 49 papers that have together received 586 indexed citations. Recurring topics across this work include Meningioma and schwannoma management (29 papers), Neurofibromatosis and Schwannoma Cases (18 papers), Glioma Diagnosis and Treatment (8 papers), Head and Neck Surgical Oncology (6 papers), Pituitary Gland Disorders and Treatments (5 papers), Brain Metastases and Treatment (4 papers), Bone Tumor Diagnosis and Treatments (4 papers) and Vascular Malformations Diagnosis and Treatment (3 papers). The work is most often cited by research in Neurology (201 citations), Genetics (119 citations), Epidemiology (295 citations), Cancer Research (90 citations) and Endocrinology, Diabetes and Metabolism (70 citations). Lingyang Hua has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Ye Gong, Qing Xie, Hiroaki Wakimoto, Hongda Zhu, Hailiang Tang, Daijun Wang, Jiaojiao Deng, Mi Tian, Shihai Luan and Haixia Cheng. Their work appears in journals such as Journal of Neuro-Oncology, World Neurosurgery, Frontiers in Oncology, Journal of neurosurgery and Acta Neuropathologica Communications.

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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