Jennifer Tom

1.7k citations
16 papers · 358 · h-index 8

Impact in

    • Microfluidic and Capillary Electrophoresis Applications
    • Microfluidic and Bio-sensing Technologies
    • Innovative Microfluidic and Catalytic Techniques Innovation
    • Biosensors and Analytical Detection

Papers in

Jennifer Tom

15 papers receiving 354 citations

Peers

Jennifer Tom
Comparison fields: 5 of 93
  • Neurology 21
  • Biomedical Engineering 110
  • Molecular Biology 162
  • Aging 4
  • Immunology 42
Replace Régine Gérard with:
Régine Gérard Switzerland
Robert S. Dotson United States
Samuel G. Novo United States
Jukka Reivinen Finland
Olga A. Morozova United States
Eric T. Wong United States
Egor Zindy United Kingdom
Anthony Flamier Canada
Arthur A. Nery Brazil
Megan Riker United States
Jennifer Tom relative to Régine Gérard Switzerland Régine Gérard's profile →
Citations per field
00.5×1.5×2.3×
Régine Gérard · 1×
Citations per year

Countries citing papers authored by Jennifer Tom

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

16 of 16 papers shown
#Work
1 200175
2 201272
3 201557
4 201834
5 202133
6 201728
7 200128
8 200117
9 20234
10 20183
11 20182
12 20232
13 20201
14 20241
15 20211
16 20190

About Jennifer Tom

Jennifer Tom is a scholar working on Molecular Biology, Cancer Research, Biomedical Engineering, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 16 papers that have together received 358 indexed citations. Recurring topics across this work include Microfluidic and Capillary Electrophoresis Applications (3 papers), Cancer Genomics and Diagnostics (3 papers), Colorectal Cancer Treatments and Studies (2 papers), Genetic factors in colorectal cancer (2 papers), Asthma and respiratory diseases (2 papers), Molecular Biology Techniques and Applications (2 papers), Genetic Associations and Epidemiology (2 papers) and Genomics and Rare Diseases (2 papers). The work is most often cited by research in Neurology (21 citations), Biomedical Engineering (110 citations), Molecular Biology (162 citations), Aging (4 citations) and Immunology (42 citations). Jennifer Tom has collaborated with scholars based in United States, Netherlands and New Zealand. Frequent co-authors include Richard A. Mathies, Lorenzo Berti, Igor L. Medintz, James R. Scherer, Huong Giang Nguyen, Roberto Giovannini, Jens H. Vogel, Lawrence R. Shiow, George F. Sensabaugh and Jens Reeder. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, Biotechnology and Bioengineering, Gene and Clinical Cancer Research.

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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