Jake Lin
Impact in
- Gastroenterology top 5%
- Celiac Disease Research and Management
Papers in
-
- Bioinformatics and Genomic Networks 3
- Microbial Metabolic Engineering and Bioproduction 3
- Fungal and yeast genetics research 2
- Gut microbiota and health 2
- Genetics 7
- Genetic Associations and Epidemiology 3
- Diabetes and associated disorders 2
- Co-authors
- Heikki Hyöty (6 shared papers)Matti Nykter (8 shared papers)Lenka Kramná (4 shared papers)Ondřej Cinek (4 shared papers)Sami Oikarinen (5 shared papers)Thomas Sauter (4 shared papers)Patrick May (4 shared papers)Reija Autio (5 shared papers)
- Journals
- BMC Genomics (3 papers)Nucleic Acids Research (2 papers)BMC Bioinformatics (2 papers)JACC Basic to Translational Science (1 paper)Nature Methods (1 paper)
- Partner nations
- FinlandUnited StatesLuxembourg
In The Last Decade
Jake Lin
31 papers receiving 602 citations
Peers
Comparison fields: 5 of 113
- Gastroenterology 76
- Geriatrics and Gerontology 16
- Molecular Biology 257
- Genetics 98
- Infectious Diseases 48
Countries citing papers authored by Jake Lin
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
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.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 124 | |
| 2 | 2019 | 93 | |
| 3 | 2018 | 60 | |
| 4 | 2020 | 56 | |
| 5 | 2016 | 46 | |
| 6 | 2013 | 39 | |
| 7 | 2017 | 21 | |
| 8 | 2013 | 19 | |
| 9 | 2019 | 19 | |
| 10 | 2023 | 18 | |
| 11 | 2014 | 18 | |
| 12 | 2019 | 15 | |
| 13 | 2020 | 11 | |
| 14 | 2023 | 8 | |
| 15 | 2020 | 8 | |
| 16 | 2025 | 7 | |
| 17 | 2005 | 7 | |
| 18 | 2017 | 6 | |
| 19 | 2011 | 5 | |
| 20 | 2012 | 4 |
About Jake Lin
Jake Lin is a scholar working on Molecular Biology, Genetics, Cardiology and Cardiovascular Medicine, Hematology and Immunology, having authored 31 papers that have together received 608 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (3 papers), Bioinformatics and Genomic Networks (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Genetic Associations and Epidemiology (3 papers), Diabetes and associated disorders (2 papers), Fungal and yeast genetics research (2 papers), Gut microbiota and health (2 papers) and Clostridium difficile and Clostridium perfringens research (2 papers). The work is most often cited by research in Gastroenterology (76 citations), Geriatrics and Gerontology (16 citations), Molecular Biology (257 citations), Genetics (98 citations) and Infectious Diseases (48 citations). Jake Lin has collaborated with scholars based in Finland, United States and Luxembourg. Frequent co-authors include Heikki Hyöty, Matti Nykter, Lenka Kramná, Ondřej Cinek, Sami Oikarinen, Thomas Sauter, Patrick May, Reija Autio, Lasse Sinkkonen and Philipp Berninger. Their work appears in journals such as BMC Genomics, Nucleic Acids Research, BMC Bioinformatics, JACC Basic to Translational Science and Nature Methods.
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.