Long Do
Impact in
- Environmental Engineering top 10%
- Microbial Fuel Cells and Bioremediation
- Pollution top 10%
Papers in
-
- Genomics and Phylogenetic Studies 2
- Genetics, Bioinformatics, and Biomedical Research 1
- Machine Learning in Bioinformatics 1
- Surgery 3
- Knee injuries and reconstruction techniques 2
- Hip and Femur Fractures 1
- Co-authors
- Dale A. Pelletier (1 shared paper)Thomas E. Hanson (1 shared paper)Miriam Land (1 shared paper)Janet L. Gibson (1 shared paper)Andrew S. Lang (1 shared paper)Jane E. Lamerdin (1 shared paper)Patrick Chain (1 shared paper)J. Thomas Beatty (1 shared paper)
- Journals
- Osteoarthritis and Cartilage (2 papers)Cancers (1 paper)Journal of Clinical Oncology (1 paper)Journal of Digital Imaging (1 paper)Annals of the Rheumatic Diseases (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Long Do
10 papers receiving 839 citations
Long Do's Hit Papers
Peers
Comparison fields: 5 of 113
- Environmental Engineering 142
- Pollution 100
- Rheumatology 129
- Renewable Energy, Sustainability and the Environment 123
- Ecology 180
Countries citing papers authored by Long Do
This map shows the geographic impact of Long Do'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 Long Do with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Do more than expected).
Fields of papers citing papers by Long Do
This network shows the impact of papers produced by Long Do. 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 Long Do. The network helps show where Long Do may publish in the future.
Co-authors
The 25 scholars most cited alongside Long Do, 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 | Complete genome sequence of the metabolically versatile photosynthetic bacterium Rhodopseudomonas palustris Hit paper breakdown → | 2003 | 600 |
| 2 | 2017 | 176 | |
| 3 | 2017 | 43 | |
| 4 | 2022 | 18 | |
| 5 | 2023 | 7 | |
| 6 | 2010 | 5 | |
| 7 | 2021 | 4 | |
| 8 | 2019 | 3 | |
| 9 | 2019 | 3 | |
| 10 | 2007 | 2 | |
| 11 | 2019 | 1 |
About Long Do
Long Do is a scholar working on Molecular Biology, Surgery, Oncology, Rheumatology and Genetics, having authored 11 papers that have together received 862 indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (2 papers), Genomics and Phylogenetic Studies (2 papers), Knee injuries and reconstruction techniques (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Machine Learning in Bioinformatics (1 paper), Neurobiology and Insect Physiology Research (1 paper), Hip and Femur Fractures (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Environmental Engineering (142 citations), Pollution (100 citations), Rheumatology (129 citations), Renewable Energy, Sustainability and the Environment (123 citations) and Ecology (180 citations). Long Do has collaborated with scholars based in United States and Canada. Frequent co-authors include Dale A. Pelletier, Thomas E. Hanson, Miriam Land, Janet L. Gibson, Andrew S. Lang, Jane E. Lamerdin, Patrick Chain, J. Thomas Beatty, Caroline S. Harwood and Caroline Peres. Their work appears in journals such as Osteoarthritis and Cartilage, Cancers, Journal of Clinical Oncology, Journal of Digital Imaging and Annals of the Rheumatic Diseases.
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.