Jennifer Tom
Impact in
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- Microfluidic and Capillary Electrophoresis Applications
- Microfluidic and Bio-sensing Technologies
- Innovative Microfluidic and Catalytic Techniques Innovation
- Biosensors and Analytical Detection
Papers in
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- RNA Interference and Gene Delivery 1
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- Cancer Genomics and Diagnostics 3
- Co-authors
- Lorenzo Berti (3 shared papers)Richard A. Mathies (3 shared papers)Igor L. Medintz (3 shared papers)James R. Scherer (2 shared papers)Huong Giang Nguyen (1 shared paper)Jens H. Vogel (1 shared paper)Roberto Giovannini (1 shared paper)Lawrence R. Shiow (1 shared paper)
- Journals
- Journal of Clinical Oncology (2 papers)eNeuro (1 paper)Clinical Cancer Research (1 paper)Clinical Chemistry (1 paper)Genes and Immunity (1 paper)
- Partner nations
- United StatesNew ZealandNetherlands
In The Last Decade
Jennifer Tom
15 papers receiving 357 citations
Peers
Comparison fields: 5 of 88
- Neurology 21
- Biomedical Engineering 109
- Aging 4
- Molecular Biology 153
- Immunology 33
Countries citing papers authored by Jennifer Tom
This map shows the geographic impact of Jennifer 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 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 Tom more than expected).
Fields of papers citing papers by Jennifer Tom
This network shows the impact of papers produced by Jennifer 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 Tom. The network helps show where Jennifer Tom may publish in the future.
Co-authors
The 25 scholars most cited alongside Jennifer 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
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 75 | |
| 2 | 2012 | 72 | |
| 3 | 2015 | 57 | |
| 4 | 2018 | 35 | |
| 5 | 2021 | 34 | |
| 6 | 2017 | 29 | |
| 7 | 2001 | 28 | |
| 8 | 2001 | 17 | |
| 9 | 2023 | 4 | |
| 10 | 2018 | 3 | |
| 11 | 2023 | 2 | |
| 12 | 2018 | 2 | |
| 13 | 2024 | 1 | |
| 14 | 2021 | 1 | |
| 15 | 2020 | 1 | |
| 16 | 2019 | 0 |
About Jennifer Tom
Jennifer Tom is a scholar working on Molecular Biology, Cancer Research, Biomedical Engineering, Pathology and Forensic Medicine and Cognitive Neuroscience, having authored 16 papers that have together received 361 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (3 papers), Microfluidic and Capillary Electrophoresis Applications (3 papers), Colorectal Cancer Treatments and Studies (2 papers), Genetic factors in colorectal cancer (2 papers), Genetic Associations and Epidemiology (2 papers), Microfluidic and Bio-sensing Technologies (1 paper), Neuroscience and Neuropharmacology Research (1 paper) and RNA Interference and Gene Delivery (1 paper). The work is most often cited by research in Neurology (21 citations), Biomedical Engineering (109 citations), Aging (4 citations), Molecular Biology (153 citations) and Immunology (33 citations). Jennifer Tom has collaborated with scholars based in United States, New Zealand and Netherlands. Frequent co-authors include Lorenzo Berti, Richard A. Mathies, Igor L. Medintz, James R. Scherer, Huong Giang Nguyen, Jens H. Vogel, Roberto Giovannini, Lawrence R. Shiow, Wendy W. Wong and George F. Sensabaugh. Their work appears in journals such as Journal of Clinical Oncology, eNeuro, Clinical Cancer Research, Clinical Chemistry and Genes and Immunity.
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.