Thomas Lo
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Microbiology top 5%
- Antimicrobial Peptides and Activities
Papers in
-
- Mitochondrial Function and Pathology 3
- DNA Repair Mechanisms 2
- CRISPR and Genetic Engineering 2
- Biochemical and Structural Characterization 1
- RNA and protein synthesis mechanisms 1
- Fungal and yeast genetics research 1
- Aging 4
- Genetics, Aging, and Longevity in Model Organisms 4
- Co-authors
- Tom L. Blundell (3 shared papers)Luca Pellegrini (3 shared papers)Ashok R. Venkitaraman (2 shared papers)David W. Walker (4 shared papers)Sepehr Bahadorani (4 shared papers)Mi-Young Lee (1 shared paper)Shubha Anand (1 shared paper)David S. Yu (1 shared paper)
- Journals
- Aging Cell (2 papers)Cell Metabolism (1 paper)Nature (1 paper)Current Biology (1 paper)DNA repair (1 paper)
- Partner nations
- United StatesUnited KingdomSouth Sudan
In The Last Decade
Thomas Lo
8 papers receiving 1.5k citations
Thomas Lo's Hit Papers
Peers
Comparison fields: 5 of 95
- Aging 401
- Microbiology 141
- Molecular Biology 1.1k
- Endocrine and Autonomic Systems 62
- Physiology 207
Countries citing papers authored by Thomas Lo
This map shows the geographic impact of Thomas Lo'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 Thomas Lo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Lo more than expected).
Fields of papers citing papers by Thomas Lo
This network shows the impact of papers produced by Thomas Lo. 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 Thomas Lo. The network helps show where Thomas Lo may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Lo, 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 | Insights into DNA recombination from the structure of a RAD51–BRCA2 complex Hit paper breakdown → | 2002 | 540 |
| 2 | 2011 | 337 | |
| 3 | 2009 | 320 | |
| 4 | 1998 | 175 | |
| 5 | 2003 | 95 | |
| 6 | 2010 | 55 | |
| 7 | 2009 | 18 | |
| 8 | 2002 | 11 |
About Thomas Lo
Thomas Lo is a scholar working on Molecular Biology, Aging, Cellular and Molecular Neuroscience, Physiology and Genetics, having authored 8 papers that have together received 1.6k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (4 papers), Mitochondrial Function and Pathology (3 papers), DNA Repair Mechanisms (2 papers), CRISPR and Genetic Engineering (2 papers), Invertebrate Immune Response Mechanisms (1 paper), Biochemical and Structural Characterization (1 paper), RNA and protein synthesis mechanisms (1 paper) and Fungal and yeast genetics research (1 paper). The work is most often cited by research in Aging (401 citations), Microbiology (141 citations), Molecular Biology (1.1k citations), Endocrine and Autonomic Systems (62 citations) and Physiology (207 citations). Thomas Lo has collaborated with scholars based in United States, United Kingdom and South Sudan. Frequent co-authors include Tom L. Blundell, Luca Pellegrini, Ashok R. Venkitaraman, David W. Walker, Sepehr Bahadorani, Mi-Young Lee, Shubha Anand, David S. Yu, Jaehyoung Cho and Jae H. Hur. Their work appears in journals such as Aging Cell, Cell Metabolism, Nature, Current Biology and DNA repair.
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.