Guan Ning Lin

5.3k total citations · 1 hit paper
66 papers, 1.5k citations indexed

About

Guan Ning Lin is a scholar working on Molecular Biology, Genetics and Epidemiology. According to data from OpenAlex, Guan Ning Lin has authored 66 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 23 papers in Genetics and 5 papers in Epidemiology. Recurrent topics in Guan Ning Lin's work include Bioinformatics and Genomic Networks (14 papers), Genetic Associations and Epidemiology (12 papers) and Machine Learning in Bioinformatics (8 papers). Guan Ning Lin is often cited by papers focused on Bioinformatics and Genomic Networks (14 papers), Genetic Associations and Epidemiology (12 papers) and Machine Learning in Bioinformatics (8 papers). Guan Ning Lin collaborates with scholars based in China, United States and United Kingdom. Guan Ning Lin's 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 and has published in prestigious journals such as Nature Communications, Neuron and Bioinformatics.

In The Last Decade

Guan Ning Lin

59 papers receiving 1.5k citations

Hit Papers

Inferring the molecular and phenotypic impact of amino ac... 2020 2026 2022 2024 2020 100 200 300 400

Peers

Guan Ning Lin
Comparison fields: 5 of 123
  • Molecular Biology 944
  • Genetics 433
  • Plant Science 133
  • Immunology 127
  • Cancer Research 116
Alex Rolfe United States
Arief Gusnanto United Kingdom
Mark F. Rogers United Kingdom
Alistair T. Pagnamenta United Kingdom
Cliona Molony United States
Georg Fuellen Germany
James A. Kadin United States
Stephen C.J. Parker United States
Wenan Chen United States
Alex Rolfe United States View profile →
Citations per field, relative to Guan Ning Lin
Guan Ning Lin · 1×
Citations per year, relative to Guan Ning Lin
Guan Ning Lin · 1×

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
# Work Indexed 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 MutPred2 breakdown →
426
16 18
17 6
18 9
19
Feature Selection for Transient Stability Assessment Based on ACO and k-NN
1
20 2

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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