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

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Inferring the molecular and phenotypic impact of amino acid variants with MutPred2

2020 426 citations Vikas Pejaver, Jorge Urresti et al. Nature Communications profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Guan Ning Lin China	17	944	433	133	127	116	66	1.5k
Alex Rolfe United States	11	1.1k 1.1×	536 1.2×	113 0.8×	190 1.5×	97 0.8×	18	1.8k
Arief Gusnanto United Kingdom	15	664 0.7×	504 1.2×	70 0.5×	120 0.9×	204 1.8×	41	1.4k
Mark F. Rogers United Kingdom	18	1.0k 1.1×	534 1.2×	123 0.9×	80 0.6×	229 2.0×	33	1.5k
Alistair T. Pagnamenta United Kingdom	24	1.2k 1.3×	537 1.2×	84 0.6×	81 0.6×	169 1.5×	49	1.9k
Cliona Molony United States	17	1.3k 1.4×	863 2.0×	85 0.6×	90 0.7×	167 1.4×	28	2.2k
Georg Fuellen Germany	24	1.1k 1.2×	188 0.4×	58 0.4×	118 0.9×	152 1.3×	137	1.9k
James A. Kadin United States	24	2.0k 2.1×	710 1.6×	95 0.7×	153 1.2×	196 1.7×	38	2.7k
Stephen C.J. Parker United States	21	1.2k 1.2×	410 0.9×	100 0.8×	232 1.8×	144 1.2×	49	1.9k
Wenan Chen United States	17	882 0.9×	733 1.7×	59 0.4×	263 2.1×	205 1.8×	55	1.8k

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

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20 of 20 papers shown

Liu, Zhe, et al.. (2025). Epigenetic Impacts of Non‐Coding Mutations Deciphered Through Pre‐Trained DNA Language Model at Single‐Cell Resolution. Advanced Science. 12(11). e2413571–e2413571.

Liu, Zhe, et al.. (2025). Predicting the regulatory impacts of noncoding variants on gene expression through epigenomic integration across tissues and single-cell landscapes. Nature Computational Science. 5(10). 927–939. 1 indexed citations

Liu, Zhe, et al.. (2025). Leveraging deep neural network and language models for predicting long-term hospitalization risk in schizophrenia. Schizophrenia. 11(1). 35–35.

Chen, Yi-Shan, et al.. (2024). How does chronic endometritis influence pregnancy outcomes in endometriosis associated infertility? A retrospective cohort study. Reproductive Health. 21(1). 162–162. 2 indexed citations

Su, Hang, Weichen Song, Tianzhen Chen, et al.. (2024). Peripheral molecular and brain structural profile implicated stress activation and hyperoxidation in methamphetamine use disorder. Psychiatry and Clinical Neurosciences. 79(2). 60–68.

Cheng, Ying, et al.. (2024). Interaction between RNF4 and SART3 is associated with the risk of schizophrenia. Heliyon. 10(12). e32743–e32743. 2 indexed citations

Liu, Zhe, et al.. (2023). Emden: A novel method integrating graph and transformer representations for predicting the effect of mutations on clinical drug response. Computers in Biology and Medicine. 167. 107678–107678. 2 indexed citations

Lin, Guan Ning, Weichen Song, Weidi Wang, et al.. (2022). De novo mutations identified by whole-genome sequencing implicate chromatin modifications in obsessive-compulsive disorder. Science Advances. 8(2). eabi6180–eabi6180. 12 indexed citations

Song, Weichen, Kai Yuan, Zhe Liu, et al.. (2022). Locus-level antagonistic selection shaped the polygenic architecture of human complex diseases. Human Genetics. 141(12). 1935–1947. 1 indexed citations

10.

Song, Weichen, Weidi Wang, Shunying Yu, & Guan Ning Lin. (2021). Dissection of the Genetic Association between Anorexia Nervosa and Obsessive–Compulsive Disorder at the Network and Cellular Levels. Genes. 12(4). 491–491. 8 indexed citations

11.

Song, Weichen, Weidi Wang, Zhe Liu, et al.. (2021). A Comprehensive Evaluation of Cross-Omics Blood-Based Biomarkers for Neuropsychiatric Disorders. Journal of Personalized Medicine. 11(12). 1247–1247. 4 indexed citations

12.

Song, Weichen, Weidi Wang, Wei Qian, et al.. (2021). A selection pressure landscape for 870 human polygenic traits. Nature Human Behaviour. 5(12). 1731–1743. 11 indexed citations

13.

Liu, Zhe, et al.. (2021). TMPSS: A Deep Learning-Based Predictor for Secondary Structure and Topology Structure Prediction of Alpha-Helical Transmembrane Proteins. Frontiers in Bioengineering and Biotechnology. 8. 629937–629937. 20 indexed citations

14.

Qian, Weijun, Liming Gui, Zhongzhong Ji, et al.. (2020). Blockade of β-Catenin–Induced CCL28 Suppresses Gastric Cancer Progression via Inhibition of Treg Cell Infiltration. Cancer Research. 80(10). 2004–2016. 84 indexed citations

15.

Pejaver, Vikas, Jorge Urresti, Jose Lugo-Martinez, et al.. (2020). Inferring the molecular and phenotypic impact of amino acid variants with MutPred2. Nature Communications. 11(1). 5918–5918. 426 indexed citations breakdown →

16.

Su, Yousong, Lu Yang, Zezhi Li, et al.. (2020). The interaction of ASAH1 and NGF gene involving in neurotrophin signaling pathway contributes to schizophrenia susceptibility and psychopathology. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 104. 110015–110015. 18 indexed citations

17.

Han, Wei, et al.. (2019). Comparative analysis of cellular expression pattern of schizophrenia risk genes in human versus mouse cortex. Cell & Bioscience. 9(1). 89–89. 6 indexed citations

18.

Lin, Guan Ning, Weidi Wang, Wei Qian, et al.. (2019). PsyMuKB: An Integrative De Novo Variant Knowledge Base for Developmental Disorders. Genomics Proteomics & Bioinformatics. 17(4). 453–464. 9 indexed citations

19.

Lin, Guan Ning. (2011). Feature Selection for Transient Stability Assessment Based on ACO and k-NN. Guangdong Electric Power. 1 indexed citations

20.

Joshi, Trupti, Chao Zhang, Guan Ning Lin, Zhao Song, & Dong Xu. (2008). GeneFAS: GeneFAS: A Tool for the Prediction of Gene function Using Multiple Sources of Data. Methods in molecular biology. 439. 369–386. 2 indexed citations

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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