Liangfeng Wei

674 citations
64 papers · 467 indexed · h-index 12
Topics
Pituitary Gland Disorders and Treatments (30 papers)Meningioma and schwannoma management (19 papers)Traumatic Brain Injury and Neurovascular Disturbances (19 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsBrain Research
Partner nations
ChinaNorway

In The Last Decade

Liangfeng Wei

58 papers receiving 461 citations

Peers

Liangfeng Wei
Comparison fields: 5 of 77
  • Endocrinology, Diabetes and Metabolism 221
  • Surgery 160
  • Epidemiology 152
  • Neurology 131
  • Genetics 94
Replace Ryojo Akagami with:
Ryojo Akagami Canada
Patrick M. Foy United Kingdom
H. Wassmann Germany
Alessandra Brofferio United States
Katalin Keresztes Hungary
Igor Veshchev Israel
N Sarkies United Kingdom
Anke W. van der Eerden Netherlands
Guo-Hua Sun China
P. A. G�mez Spain
Liangfeng Wei relative to Ryojo Akagami Canada Ryojo Akagami's profile →
Citations per field
00.5×1.5×1.9×
Ryojo Akagami · 1×
Citations per year

Countries citing papers authored by Liangfeng Wei

Since Specialization
Citations

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

Fields of papers citing papers by Liangfeng Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liangfeng Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Liangfeng Wei. A scholar is included among the top collaborators of Liangfeng Wei based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Liangfeng Wei. Liangfeng Wei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 4
3 0
4 1
5 1
6 1
7 0
8 9
9 8
10 5
11 7
12 8
13 11
14
Relationship between pituitary adenoma texture and collagen content revealed by comparative study of MRI and pathology analysis.
31
15 11
16 32
17 32
18
Application of virtual reality techniques in preoperative surgical planning for intracranial anterior circulation aneurysms
0
19 6
20 1

About Liangfeng Wei

Liangfeng Wei is a scholar working on Neurology, Endocrinology, Diabetes and Metabolism and Genetics, having authored 64 papers that have together received 467 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (30 papers), Meningioma and schwannoma management (19 papers) and Traumatic Brain Injury and Neurovascular Disturbances (19 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (221 citations), Genetics (94 citations) and Neurology (131 citations). Liangfeng Wei has collaborated with scholars based in China and Norway. Frequent co-authors include Shousen Wang, Deyong Xiao, Lin Zhao, Shousen Wang, Jianzhong Li, Jun Tian, Hongjie Chen, Renzhi Wang, Yi Fang and Shangming Zhang. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Brain 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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