Pinan Liu

1.1k total citations
65 papers, 738 citations indexed

About

Pinan Liu is a scholar working on Epidemiology, Neurology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Pinan Liu has authored 65 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Epidemiology, 26 papers in Neurology and 15 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Pinan Liu's work include Meningioma and schwannoma management (28 papers), Neurofibromatosis and Schwannoma Cases (23 papers) and Pituitary Gland Disorders and Treatments (15 papers). Pinan Liu is often cited by papers focused on Meningioma and schwannoma management (28 papers), Neurofibromatosis and Schwannoma Cases (23 papers) and Pituitary Gland Disorders and Treatments (15 papers). Pinan Liu collaborates with scholars based in China, United States and Romania. Pinan Liu's co-authors include Xingchao Wang, Zhenmin Wang, Zhijun Yang, Zhixian Gao, Jin Fan, Fu Zhao, Peng Li, Xiaosi Gu, Qiong Wu and Yanhong Wu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Pinan Liu

58 papers receiving 733 citations

Peers

Pinan Liu
Comparison fields: 5 of 86
  • Epidemiology 193
  • Cognitive Neuroscience 177
  • Neurology 153
  • Endocrinology, Diabetes and Metabolism 134
  • Surgery 130
Replace Alexander Ksendzovsky with:
Alexander Ksendzovsky United States
Alex D. Sweeney United States
Sophia Göricke Germany
Masashi Kinoshita Japan
Hiroshi Tokimura Japan
Dominic G. O’Donovan United Kingdom
Daniel Coluccia Switzerland
Tetsuhiko Asakura Japan
Chiara Pantaleoni Italy
Anthony J. Caputy United States
Alexander Ksendzovsky United States View profile →
Citations per field, relative to Pinan Liu
Pinan Liu · 1×
Citations per year, relative to Pinan Liu
Pinan Liu · 1×

Countries citing papers authored by Pinan Liu

Since Specialization
Citations

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

Fields of papers citing papers by Pinan Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pinan Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Pinan Liu. A scholar is included among the top collaborators of Pinan Liu 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 Pinan Liu. Pinan Liu 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
# Work Indexed citations
1 0
2 0
3 0
4 3
5 1
6 1
7 8
8 7
9 123
10 6
11 19
12 52
13 4
14 45
15 13
16 11
17 1
18 5
19 3
20 11

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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