Jake Lin

991 citations
36 papers · 766 · h-index 15

Impact in

Papers in

    • Bioinformatics and Genomic Networks 6
    • Gut microbiota and health 5
    • Genomics and Phylogenetic Studies 4
    • Genetic Associations and Epidemiology 6
    • Diabetes and associated disorders 3

Jake Lin

34 papers receiving 751 citations

Peers

Jake Lin
Comparison fields: 5 of 92
  • Gastroenterology 70
  • Geriatrics and Gerontology 16
  • Genetics 124
  • Molecular Biology 247
  • Neurology 50
Replace Juha‐Pekka Pursiheimo with:
Juha‐Pekka Pursiheimo Finland
Caitlin N. Ryan United States
Claire F. Jessup Australia
Daina L. Ringus United States
Kylynda C. Bauer United States
Susanne Milatz Germany
Thomas E. Wallach United States
Francisco Barja Switzerland
Rong Yang China
Dan R. Halm United States
Jake Lin relative to Juha‐Pekka Pursiheimo Finland Juha‐Pekka Pursiheimo's profile →
Citations per field
00.5×2×4×6×8×
Juha‐Pekka Pursiheimo · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Jake Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jake Lin Line = papers co-authored together Jake Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014134
2 201995
3 201468
4 202068
5 201867
6 201651
7 201339
8 201924
9 201722
10 202322
11 201318
12 201918
13 202018
14 202317
15 201416
16 202011
17 202311
18 202510
19 20209
20 20116

About Jake Lin

Jake Lin is a scholar working on Molecular Biology, Genetics, Hematology, Geriatrics and Gerontology and Information Systems and Management, having authored 36 papers that have together received 766 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (6 papers), Genetic Associations and Epidemiology (6 papers), Gut microbiota and health (5 papers), Acute Myeloid Leukemia Research (4 papers), Genomics and Phylogenetic Studies (4 papers), Diabetes and associated disorders (3 papers), Frailty in Older Adults (2 papers) and Scientific Computing and Data Management (2 papers). The work is most often cited by research in Gastroenterology (70 citations), Geriatrics and Gerontology (16 citations), Genetics (124 citations), Molecular Biology (247 citations) and Neurology (50 citations). Jake Lin has collaborated with scholars based in Finland, United States and Luxembourg. Frequent co-authors include Heikki Hyöty, Matti Nykter, Merja Heinäniemi, Ondřej Cinek, Lenka Kramná, Sami Oikarinen, Reija Autio, Patrick May, Thomas Sauter and Philipp Berninger. Their work appears in journals such as BMC Genomics, BMC Bioinformatics, Nature Communications, Nucleic Acids Research and Blood.

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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