Jacob Kames
Impact in
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- SARS-CoV-2 and COVID-19 Research
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- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Genomics and Phylogenetic Studies
- RNA Research and Splicing
- CRISPR and Genetic Engineering
Papers in
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- RNA and protein synthesis mechanisms 4
- vaccines and immunoinformatics approaches 2
- RNA modifications and cancer 2
- CRISPR and Genetic Engineering 1
- Viral Infectious Diseases and Gene Expression in Insects 1
- RNA Research and Splicing 1
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- SARS-CoV-2 and COVID-19 Research 2
- Co-authors
- Chava Kimchi‐Sarfaty (10 shared papers)Aikaterini Alexaki (7 shared papers)David D. Holcomb (8 shared papers)Nobuko Hamasaki‐Katagiri (7 shared papers)Anton A. Komar (6 shared papers)Haim Bar (6 shared papers)John C. Athey (4 shared papers)Luis V. Santana‐Quintero (3 shared papers)
- Journals
- Blood Advances (2 papers)Journal of Molecular Biology (2 papers)PLoS Computational Biology (1 paper)The American Journal of Human Genetics (1 paper)Frontiers in Oncology (1 paper)
- Partner nations
- United StatesSpain
In The Last Decade
Jacob Kames
11 papers receiving 231 citations
Peers
Comparison fields: 5 of 51
- Infectious Diseases 62
- Molecular Biology 155
- Animal Science and Zoology 16
- Endocrinology 6
- Cardiology and Cardiovascular Medicine 21
Countries citing papers authored by Jacob Kames
This map shows the geographic impact of Jacob Kames'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 Jacob Kames with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacob Kames more than expected).
Fields of papers citing papers by Jacob Kames
This network shows the impact of papers produced by Jacob Kames. 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 Jacob Kames. The network helps show where Jacob Kames may publish in the future.
Co-authors
The 25 scholars most cited alongside Jacob Kames, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 102 | |
| 2 | 2020 | 41 | |
| 3 | 2020 | 30 | |
| 4 | 2021 | 15 | |
| 5 | 2021 | 13 | |
| 6 | 2022 | 9 | |
| 7 | 2019 | 8 | |
| 8 | 2021 | 6 | |
| 9 | 2021 | 5 | |
| 10 | 2023 | 4 | |
| 11 | 2022 | 2 |
About Jacob Kames
Jacob Kames is a scholar working on Molecular Biology, Infectious Diseases, Hematology, Genetics and Pulmonary and Respiratory Medicine, having authored 11 papers that have together received 235 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (4 papers), Genomics and Rare Diseases (2 papers), vaccines and immunoinformatics approaches (2 papers), RNA modifications and cancer (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), CRISPR and Genetic Engineering (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper) and RNA Research and Splicing (1 paper). The work is most often cited by research in Infectious Diseases (62 citations), Molecular Biology (155 citations), Animal Science and Zoology (16 citations), Endocrinology (6 citations) and Cardiology and Cardiovascular Medicine (21 citations). Jacob Kames has collaborated with scholars based in United States and Spain. Frequent co-authors include Chava Kimchi‐Sarfaty, Aikaterini Alexaki, David D. Holcomb, Nobuko Hamasaki‐Katagiri, Anton A. Komar, Haim Bar, John C. Athey, Luis V. Santana‐Quintero, Ekaterina Osipova and Vahan Simonyan. Their work appears in journals such as Blood Advances, Journal of Molecular Biology, PLoS Computational Biology, The American Journal of Human Genetics and Frontiers in Oncology.
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.