Guang Lin

1.5k total citations
33 papers, 1.1k citations indexed

About

Guang Lin is a scholar working on Molecular Biology, Artificial Intelligence and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Guang Lin has authored 33 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 7 papers in Artificial Intelligence and 6 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Guang Lin's work include Quantum Information and Cryptography (7 papers), Lysosomal Storage Disorders Research (5 papers) and Quantum optics and atomic interactions (5 papers). Guang Lin is often cited by papers focused on Quantum Information and Cryptography (7 papers), Lysosomal Storage Disorders Research (5 papers) and Quantum optics and atomic interactions (5 papers). Guang Lin collaborates with scholars based in United States, China and Taiwan. Guang Lin's co-authors include Hugo J. Bellen, Bon‐chu Chung, Dongxue Mao, Zhongyuan Zuo, Hwei‐Jan Hsu, Nicholas K. Tonks, Kuchuan Chen, Kai Li Tan, Paul C. Marcogliese and Pei-Tseng Lee and has published in prestigious journals such as Journal of Biological Chemistry, Genes & Development and Applied Physics Letters.

In The Last Decade

Guang Lin

33 papers receiving 1.1k citations

Peers

Guang Lin
Comparison fields: 5 of 98
  • Molecular Biology 585
  • Neurology 189
  • Cell Biology 188
  • Physiology 155
  • Cellular and Molecular Neuroscience 138
Replace Andrea Thor with:
Andrea Thor United States
Seiichiro Nishimura Japan
József Gál United States
Jakob M. Bader Germany
Alessandro Poli Italy
Philipp Weber Germany
Owen J. L. Rackham Singapore
Ruth Herbst Austria
Timothy E. Richardson United States
Andrea Thor United States View profile →
Citations per field, relative to Guang Lin
Guang Lin · 1×
Citations per year, relative to Guang Lin
Guang Lin · 1×

Countries citing papers authored by Guang Lin

Since Specialization
Citations

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

Fields of papers citing papers by Guang Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guang Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Guang Lin. A scholar is included among the top collaborators of Guang 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 Guang Lin. Guang 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 3
2 9
3 7
4 31
5 34
6 14
7 95
8 85
9 122
10 10
11 22
12 24
13
SPECIES DIVERSITY AND COMMUNITY STRUCTURE IN FOREST FRAGMENTS OF GUANGZHOU, SOUTH CHINA
12
14 11
15 44
16 30
17 62
18 48
19 12
20 40

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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