Te‐Wen Lo

1.2k citations
13 papers · 874 · h-index 9

Impact in

Papers in

    • CRISPR and Genetic Engineering 6
    • Genetics, Bioinformatics, and Biomedical Research 2
    • Advanced biosensing and bioanalysis techniques 1
    • Genetics, Aging, and Longevity in Model Organisms 6

Te‐Wen Lo

12 papers receiving 857 citations

Peers

Te‐Wen Lo
Comparison fields: 5 of 78
  • Aging 245
  • Business and International Management 48
  • Molecular Biology 745
  • Genetics 199
  • Insect Science 51
Replace Zhanxiang Wang with:
Zhanxiang Wang China
Becky Xu Hua Fu United States
Yonatan B. Tzur Israel
Zhongsheng Yu China
Zhihao Yang China
Danielle C. Hamm United States
Jin Sun China
Rainier Amora United States
Xingjie Ren United States
Decai Mao China
Te‐Wen Lo relative to Zhanxiang Wang China Zhanxiang Wang's profile →
Citations per field
00.5×1.5×2.3×
Zhanxiang Wang · 1×
Citations per year

Countries citing papers authored by Te‐Wen Lo

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Te‐Wen Lo Line = papers co-authored together Te‐Wen Lo links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2011499
2 2013149
3 201865
4 200357
5 201330
6 200821
7 201915
8 201813
9 202111
10 20108
11 20235
12 20181
13 20240

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 874 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (6 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers), Reproductive Biology and Fertility (4 papers), Circadian rhythm and melatonin (3 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Innovation and Socioeconomic Development (1 paper) and Cholinesterase and Neurodegenerative Diseases (1 paper). The work is most often cited by research in Aging (245 citations), Business and International Management (48 citations), Molecular Biology (745 citations), Genetics (199 citations) and Insect Science (51 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, Jeffrey C. Miller, Rainier Amora, Andrew Lee, Edward J. Rebar, Elo Leung and Philip D. Gregory. Their work appears in journals such as Developmental Biology, Genetics, eLife, Science and Translational Psychiatry.

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.

Explore authors with similar magnitude of impact