Te‐Wen Lo
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
-
- Innovation and Socioeconomic Development
Papers in
-
- CRISPR and Genetic Engineering 6
- Genetics, Bioinformatics, and Biomedical Research 2
- Aging 6
- Genetics, Aging, and Longevity in Model Organisms 6
- Co-authors
- Barbara J Meyer (3 shared papers)Edward J. Ralston (3 shared papers)Catherine S. Pickle (2 shared papers)Deborah Thurtle-Schmidt (2 shared papers)Lei Zhang (1 shared paper)Bryan Zeitler (1 shared paper)Rainier Amora (1 shared paper)Jeffrey C. Miller (1 shared paper)
- Journals
- Developmental Biology (3 papers)Genetics (2 papers)eLife (2 papers)Translational Psychiatry (1 paper)Science (1 paper)
- Partner nations
- United States
In The Last Decade
Te‐Wen Lo
12 papers receiving 915 citations
Te‐Wen Lo's Hit Papers
Peers
Comparison fields: 5 of 80
- Aging 247
- Business and International Management 58
- Molecular Biology 786
- Genetics 209
- Insect Science 53
Countries citing papers authored by Te‐Wen Lo
This map shows the geographic impact of Te‐Wen 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 Te‐Wen Lo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Te‐Wen Lo more than expected).
Fields of papers citing papers by Te‐Wen Lo
This network shows the impact of papers produced by Te‐Wen 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 Te‐Wen Lo. The network helps show where Te‐Wen Lo may publish in the future.
Co-authors
The 25 scholars most cited alongside Te‐Wen 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 | Targeted Genome Editing Across Species Using ZFNs and TALENs Hit paper breakdown → | 2011 | 541 |
| 2 | 2013 | 155 | |
| 3 | 2018 | 77 | |
| 4 | 2003 | 58 | |
| 5 | 2013 | 31 | |
| 6 | 2008 | 22 | |
| 7 | 2019 | 15 | |
| 8 | 2018 | 14 | |
| 9 | 2021 | 11 | |
| 10 | 2010 | 8 | |
| 11 | 2023 | 6 | |
| 12 | 2018 | 1 | |
| 13 | 2024 | 0 |
About Te‐Wen Lo
Te‐Wen Lo is a scholar working on Molecular Biology, Aging, Public Health, Environmental and Occupational Health, Endocrine and Autonomic Systems and Genetics, having authored 13 papers that have together received 939 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (6 papers), CRISPR and Genetic Engineering (6 papers), Reproductive Biology and Fertility (4 papers), Circadian rhythm and melatonin (3 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), Tardigrade Biology and Ecology (1 paper), Cancer Genomics and Diagnostics (1 paper) and Biocrusts and Microbial Ecology (1 paper). The work is most often cited by research in Aging (247 citations), Business and International Management (58 citations), Molecular Biology (786 citations), Genetics (209 citations) and Insect Science (53 citations). Te‐Wen Lo has collaborated with scholars based in United States. Frequent co-authors include Barbara J Meyer, Edward J. Ralston, Catherine S. Pickle, Deborah Thurtle-Schmidt, Lei Zhang, Bryan Zeitler, Rainier Amora, Jeffrey C. Miller, Andrew J. Wood and Fyodor D. Urnov. Their work appears in journals such as Developmental Biology, Genetics, eLife, Translational Psychiatry and Science.
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.