Guan Ning Lin

5.3k citations
66 papers · 1.5k indexed · 1 hit paper · h-index 17
Topics
Bioinformatics and Genomic Networks (14 papers)Genetic Associations and Epidemiology (12 papers)Machine Learning in Bioinformatics (8 papers)

In The Last Decade

Guan Ning Lin

59 papers receiving 1.5k citations

Hit Papers

Inferring the molecular and phenotypic impact of amino ac...20202026202220242020100200300400

Peers

Guan Ning Lin
Comparison fields: 5 of 123
  • Molecular Biology 944
  • Genetics 433
  • Plant Science 133
  • Immunology 127
  • Cancer Research 116
Replace Wenan Chen with:
Wenan Chen United States
S. Shavit Israel
Arief Gusnanto United Kingdom
Yu‐Wen Hwang United States
Terri L. Gilbert United States
Elena Zaslavsky United States
Shuang Liu China
Kristian Gray United Kingdom
Semin Lee South Korea
Alexandra Keenan United States
Guan Ning Lin relative to Wenan Chen United States Wenan Chen's profile →
Citations per field
00.5×1.5×2.3×
Wenan Chen · 1×
Citations per year

Countries citing papers authored by Guan Ning Lin

Since Specialization
Citations

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

Fields of papers citing papers by Guan Ning Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guan Ning Lin. 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 Guan Ning Lin. The network helps show where Guan Ning Lin may publish in the future.

Co-authorship network of co-authors of Guan Ning Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Guan Ning Lin. A scholar is included among the top collaborators of Guan Ning Lin 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 Guan Ning Lin. Guan Ning Lin 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 0
2 1
3 0
4 2
5 0
6 2
7 2
8 12
9 1
10 8
11 4
12 11
13 20
14 84
15
Inferring the molecular and phenotypic impact of amino acid variants with MutPred2breakdown →
426
16 18
17 6
18 9
19
Feature Selection for Transient Stability Assessment Based on ACO and k-NN
1
20 2

About Guan Ning Lin

Guan Ning Lin is a scholar working on Genetics, Biological Psychiatry and Health Informatics, having authored 66 papers that have together received 1.5k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (14 papers), Genetic Associations and Epidemiology (12 papers) and Machine Learning in Bioinformatics (8 papers). The work is most often cited by research in Genetics (433 citations), Molecular Biology (944 citations) and Biological Psychiatry (29 citations). Guan Ning Lin has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Lilia M. Iakoucheva, Jonathan Sebat, Weichen Song, Hyun‐Jun Nam, Vikas Pejaver, Predrag Radivojac, D.N. Cooper, Matthew Mort, Sean D. Mooney and Kymberleigh A. Pagel. Their work appears in journals such as Nature Communications, Neuron and Bioinformatics.

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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