Jennifer A. Tom
Impact in
- Genetics top 10%
- Genetic Associations and Epidemiology
- Genomics and Rare Diseases
Papers in
- Genetics 5
- Genetic Associations and Epidemiology 4
- Genomics and Rare Diseases 2
- Co-authors
- Roberto Giovannini (1 shared paper)Igor L. Medintz (2 shared papers)Lorenzo Berti (2 shared papers)Jens H. Vogel (1 shared paper)Huong Giang Nguyen (1 shared paper)Richard A. Mathies (2 shared papers)Jens Reeder (4 shared papers)Timothy W. Behrens (3 shared papers)
- Journals
- Nature Communications (2 papers)F1000Research (2 papers)eNeuro (1 paper)Gene (1 paper)The American Journal of Human Genetics (1 paper)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Jennifer A. Tom
20 papers receiving 1.2k citations
Jennifer A. Tom's Hit Papers
Peers
Comparison fields: 5 of 117
- Genetics 289
- Immunology 138
- Radiology, Nuclear Medicine and Imaging 124
- Molecular Biology 389
- Pulmonary and Respiratory Medicine 151
Countries citing papers authored by Jennifer A. Tom
This map shows the geographic impact of Jennifer A. Tom'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 Jennifer A. Tom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer A. Tom more than expected).
Fields of papers citing papers by Jennifer A. Tom
This network shows the impact of papers produced by Jennifer A. Tom. 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 Jennifer A. Tom. The network helps show where Jennifer A. Tom may publish in the future.
Co-authors
The 25 scholars most cited alongside Jennifer A. Tom, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The GenomeAsia 100K Project enables genetic discoveries across Asia Hit paper breakdown → | 2019 | 311 |
| 2 | 2003 | 206 | |
| 3 | 2018 | 149 | |
| 4 | 2018 | 80 | |
| 5 | 2012 | 79 | |
| 6 | 2015 | 63 | |
| 7 | 2021 | 42 | |
| 8 | 2018 | 40 | |
| 9 | 2017 | 36 | |
| 10 | 2001 | 33 | |
| 11 | 2021 | 29 | |
| 12 | 2024 | 28 | |
| 13 | 2023 | 22 | |
| 14 | 2001 | 20 | |
| 15 | 2022 | 14 | |
| 16 | 2019 | 11 | |
| 17 | 2020 | 8 | |
| 18 | 2018 | 7 | |
| 19 | 2019 | 6 | |
| 20 | 2018 | 4 |
About Jennifer A. Tom
Jennifer A. Tom is a scholar working on Genetics, Immunology, Molecular Biology, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 21 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (4 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Genomics and Rare Diseases (2 papers), Bioinformatics and Genomic Networks (2 papers), Microfluidic and Capillary Electrophoresis Applications (2 papers), Gut microbiota and health (2 papers) and COVID-19 Clinical Research Studies (1 paper). The work is most often cited by research in Genetics (289 citations), Immunology (138 citations), Radiology, Nuclear Medicine and Imaging (124 citations), Molecular Biology (389 citations) and Pulmonary and Respiratory Medicine (151 citations). Jennifer A. Tom has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Roberto Giovannini, Igor L. Medintz, Lorenzo Berti, Jens H. Vogel, Huong Giang Nguyen, Richard A. Mathies, Jens Reeder, Timothy W. Behrens, Charles A. Emrich and James R. Scherer. Their work appears in journals such as Nature Communications, F1000Research, eNeuro, Gene and The American Journal of Human Genetics.
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.