Susan Tom
Impact in
- Genetics top 5%
- Mesenchymal stem cell research
- Virus-based gene therapy research
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- Lysosomal Storage Disorders Research
Papers in
-
- CRISPR and Genetic Engineering 5
- Glycosylation and Glycoproteins Research 2
- DNA Repair Mechanisms 1
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- Lysosomal Storage Disorders Research 5
- Co-authors
- Jay K. Kolls (1 shared paper)Guoshun Wang (1 shared paper)Daniel J. Weiss (1 shared paper)Jeffrey L. Spees (1 shared paper)Nicholas A. Lanson (1 shared paper)Vincent G. Valentine (1 shared paper)Richard G. Painter (1 shared paper)Donna Bertucci (1 shared paper)
- Journals
- Molecular Therapy (5 papers)Molecular Genetics and Metabolism (4 papers)Bioorganic & Medicinal Chemistry (1 paper)Blood (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United States
In The Last Decade
Susan Tom
14 papers receiving 457 citations
Peers
Comparison fields: 5 of 56
- Genetics 151
- Physiology 80
- Genetics 89
- Molecular Biology 207
- Business and International Management 6
Countries citing papers authored by Susan Tom
This map shows the geographic impact of Susan 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 Susan Tom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susan Tom more than expected).
Fields of papers citing papers by Susan Tom
This network shows the impact of papers produced by Susan 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 Susan Tom. The network helps show where Susan Tom may publish in the future.
Co-authors
The 25 scholars most cited alongside Susan 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 | 2004 | 221 | |
| 2 | 2018 | 91 | |
| 3 | 2018 | 65 | |
| 4 | 2014 | 36 | |
| 5 | 2010 | 31 | |
| 6 | 2013 | 8 | |
| 7 | 2015 | 3 | |
| 8 | 2015 | 2 | |
| 9 | 2005 | 2 | |
| 10 | 2016 | 1 | |
| 11 | 2016 | 1 | |
| 12 | 2017 | 1 | |
| 13 | 2018 | 1 | |
| 14 | 2016 | 1 |
About Susan Tom
Susan Tom is a scholar working on Molecular Biology, Physiology, Genetics, Genetics and Oncology, having authored 14 papers that have together received 464 indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (5 papers), CRISPR and Genetic Engineering (5 papers), Virus-based gene therapy research (3 papers), Glycosylation and Glycoproteins Research (2 papers), Neurogenetic and Muscular Disorders Research (2 papers), Acute Myeloid Leukemia Research (1 paper), Trypanosoma species research and implications (1 paper) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Genetics (151 citations), Physiology (80 citations), Genetics (89 citations), Molecular Biology (207 citations) and Business and International Management (6 citations). Susan Tom has collaborated with scholars based in United States. Frequent co-authors include Jay K. Kolls, Guoshun Wang, Daniel J. Weiss, Jeffrey L. Spees, Nicholas A. Lanson, Vincent G. Valentine, Richard G. Painter, Donna Bertucci, Alexandra Peister and Darwin J. Prockop. Their work appears in journals such as Molecular Therapy, Molecular Genetics and Metabolism, Bioorganic & Medicinal Chemistry, Blood and Proceedings of the National Academy of Sciences.
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.