Lina An

412 total citations
19 papers, 227 citations indexed

About

Lina An is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Psychiatry and Mental health. According to data from OpenAlex, Lina An has authored 19 papers receiving a total of 227 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cardiology and Cardiovascular Medicine, 4 papers in Molecular Biology and 4 papers in Psychiatry and Mental health. Recurrent topics in Lina An's work include Dementia and Cognitive Impairment Research (4 papers), Neurological Disease Mechanisms and Treatments (2 papers) and Anesthesia and Neurotoxicity Research (2 papers). Lina An is often cited by papers focused on Dementia and Cognitive Impairment Research (4 papers), Neurological Disease Mechanisms and Treatments (2 papers) and Anesthesia and Neurotoxicity Research (2 papers). Lina An collaborates with scholars based in China. Lina An's co-authors include Wenzhi Guo, Weidong Mi, Yan Zeng, Hong Zhang, Shujun Han, Sheng Hu, Bo Zhang, Yulian Wu, Liang Wu and Fang Wu and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and International Journal of Environmental Research and Public Health.

In The Last Decade

Lina An

18 papers receiving 224 citations

Peers

Lina An
Comparison fields: 5 of 80
  • Psychiatry and Mental health 63
  • Developmental Neuroscience 38
  • Critical Care and Intensive Care Medicine 36
  • Neurology 35
  • Cardiology and Cardiovascular Medicine 28
Replace Feng‐Ping Lu with:
Feng‐Ping Lu Taiwan
Francesco Bonetti Italy
Ruben Schwartz United States
Roger Clarnette Australia
David Nathanson Sweden
Xia Feng China
Chia-Jui Tsai Taiwan
Abbas Salehiomran Iran
Eleonora Balzani Italy
Anthony Espinet Australia
Feng‐Ping Lu Taiwan View profile →
Citations per field, relative to Lina An
Lina An · 1×
Citations per year, relative to Lina An
Lina An · 1×

Countries citing papers authored by Lina An

Since Specialization
Citations

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

Fields of papers citing papers by Lina An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lina An

This figure shows the co-authorship network connecting the top 25 collaborators of Lina An. A scholar is included among the top collaborators of Lina An 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 Lina An. Lina An is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
# Work Indexed citations
1 0
2 1
3 3
4 10
5 17
6 5
7 2
8 5
9 20
10 8
11 8
12 1
13 4
14 42
15 3
16 26
17 17
18 48
19 7

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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