Jake Lin

983 total citations
31 papers, 576 citations indexed

About

Jake Lin is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Jake Lin has authored 31 papers receiving a total of 576 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 8 papers in Genetics and 4 papers in Immunology. Recurrent topics in Jake Lin's work include Genetic Associations and Epidemiology (5 papers), Bioinformatics and Genomic Networks (5 papers) and Genomics and Phylogenetic Studies (4 papers). Jake Lin is often cited by papers focused on Genetic Associations and Epidemiology (5 papers), Bioinformatics and Genomic Networks (5 papers) and Genomics and Phylogenetic Studies (4 papers). Jake Lin collaborates with scholars based in Finland, United States and Luxembourg. Jake Lin's co-authors include Heikki Hyöty, Lenka Kramná, Matti Nykter, Ondřej Cinek, Sami Oikarinen, Patrick May, Reija Autio, Thomas Sauter, Philipp Berninger and Lasse Sinkkonen and has published in prestigious journals such as Nucleic Acids Research, Blood and Nature Methods.

In The Last Decade

Jake Lin

31 papers receiving 571 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jake Lin Finland 12 268 116 94 69 62 31 576
Debabrata Majumdar United Kingdom 12 257 1.0× 123 1.1× 79 0.8× 29 0.4× 104 1.7× 40 549
Juanjuan Qiu China 16 389 1.5× 67 0.6× 58 0.6× 32 0.5× 73 1.2× 35 667
Xiang Tan China 19 402 1.5× 100 0.9× 71 0.8× 92 1.3× 143 2.3× 57 880
Annalisa Bosi Italy 14 337 1.3× 67 0.6× 39 0.4× 112 1.6× 51 0.8× 28 797
Nam Soo Joo United States 21 419 1.6× 48 0.4× 43 0.5× 44 0.6× 83 1.3× 36 1.4k
Justin Tan United States 13 518 1.9× 91 0.8× 160 1.7× 11 0.2× 30 0.5× 19 770
David Tooth United Kingdom 13 310 1.2× 26 0.2× 48 0.5× 50 0.7× 34 0.5× 26 591
Chung‐Hsing Wang Taiwan 16 341 1.3× 156 1.3× 49 0.5× 8 0.1× 70 1.1× 56 837
Rong Yang China 14 421 1.6× 21 0.2× 90 1.0× 28 0.4× 38 0.6× 35 665

Countries citing papers authored by Jake Lin

Since Specialization
Citations

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

Fields of papers citing papers by Jake Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jake Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Jake Lin. A scholar is included among the top collaborators of Jake 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 Jake Lin. Jake 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
1.
Monnoye, Magali, Catherine Philippe, Sabbir Ahmed, et al.. (2025). Mouse strain-specific responses along the gut-brain axis upon fecal microbiota transplantation from children with autism. Gut Microbes. 17(1). 2447822–2447822. 2 indexed citations
2.
Giri, Anil K., Jake Lin, Konstantinos Kyriakidis, G. Tripathi, & Henrikki Almusa. (2025). Exome-wide association study reveals 7 functional variants associated with ex-vivo drug response in acute myeloid leukemia patients. BMC Medical Genomics. 18(1). 64–64. 1 indexed citations
3.
Iris, François, Christine Ladd‐Acosta, Christophe Roos, et al.. (2024). Exploring autism spectrum disorder and co-occurring trait associations to elucidate multivariate genetic mechanisms and insights. BMC Psychiatry. 24(1). 934–934. 4 indexed citations
5.
Lin, Jake, Nina Mars, Yu Fu, et al.. (2023). Integration of Biomarker Polygenic Risk Score Improves Prediction of Coronary Heart Disease. JACC Basic to Translational Science. 8(12). 1489–1499. 7 indexed citations
6.
Mak, Jonathan K. L., Laura Kananen, Chenxi Qin, et al.. (2023). Unraveling the metabolic underpinnings of frailty using multicohort observational and Mendelian randomization analyses. Aging Cell. 22(8). e13868–e13868. 15 indexed citations
7.
Ripatti, Pietari, Joel Rämö, Nina Mars, et al.. (2020). Polygenic Hyperlipidemias and Coronary Artery Disease Risk. UTUPub (University of Turku). 55 indexed citations
8.
Pölönen, Petri, Juha Mehtonen, Jake Lin, et al.. (2019). Hemap: An Interactive Online Resource for Characterizing Molecular Phenotypes across Hematologic Malignancies. Cancer Research. 79(10). 2466–2479. 19 indexed citations
10.
Lin, Jake, et al.. (2018). Bioinformatics Assembling and Assessment of Novel Coxsackievirus B1 Genome. Methods in molecular biology. 1838. 261–272. 1 indexed citations
11.
Kramná, Lenka, Pavel Dřevı́nek, Jake Lin, Michal Kulich, & Ondřej Cinek. (2017). Changes in the lung bacteriome in relation to antipseudomonal therapy in children with cystic fibrosis. Folia Microbiologica. 63(2). 237–248. 5 indexed citations
12.
Trefois, Christophe, Paul Antony, René Hussong, et al.. (2014). Systems genomics evaluation of the SH-SY5Y neuroblastoma cell line as a model for Parkinson’s disease. BMC Genomics. 15(1). 1154–1154. 120 indexed citations
13.
Sinkkonen, Lasse, et al.. (2014). ChIP-seq profiling of the active chromatin marker H3K4me3 and PPARγ, CEBPα and LXR target genes in human SGBS adipocytes. Genomics Data. 2. 230–236. 3 indexed citations
14.
Ruusuvuori, Pekka, Jake Lin, Zhi-Hao Tan, et al.. (2014). Quantitative Analysis of Colony Morphology in Yeast. BioTechniques. 56(1). 18–27. 18 indexed citations
15.
Sinkkonen, Lasse, et al.. (2013). Integrated analysis of transcript-level regulation of metabolism reveals disease-relevant nodes of the human metabolic network. Nucleic Acids Research. 42(3). 1474–1496. 38 indexed citations
16.
Ludlow, Catherine L., Gareth A. Cromie, Eric W. Jeffery, et al.. (2013). High-throughput tetrad analysis. Nature Methods. 10(7). 671–675. 18 indexed citations
17.
Bressler, Ryan, Jake Lin, Richard Kreisberg, et al.. (2012). Fastbreak: a tool for analysis and visualization of structural variations in genomic data. PubMed. 2012(1). 15–15. 4 indexed citations
18.
Knijnenburg, Theo, Jake Lin, Hector Rovira, John Boyle, & Ilya Shmulevich. (2011). EPEPT: A web service for enhanced P-value estimation in permutation tests. BMC Bioinformatics. 12(1). 411–411. 5 indexed citations
19.
Killcoyne, Sarah, Jake Lin, Bruz Marzolf, et al.. (2010). SEQADAPT: an adaptable system for the tracking, storage and analysis of high throughput sequencing experiments. BMC Bioinformatics. 11(1). 377–377. 3 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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