Long Do
Impact in
- Environmental Engineering top 10%
- Microbial Fuel Cells and Bioremediation
- Rheumatology top 10%
- Osteoarthritis Treatment and Mechanisms
Papers in
-
- Genomics and Phylogenetic Studies 2
- Surgery 2
- Knee injuries and reconstruction techniques 1
- Co-authors
- Thomas E. Hanson (1 shared paper)Miriam Land (1 shared paper)Dale A. Pelletier (1 shared paper)Jane Gibson (1 shared paper)Janet L. Gibson (1 shared paper)Cedric E. Bobst (1 shared paper)Patrick Chain (1 shared paper)Caroline S. Harwood (1 shared paper)
- Journals
- Osteoarthritis and Cartilage (2 papers)Journal of Clinical Oncology (1 paper)Journal of Digital Imaging (1 paper)Cancers (1 paper)Neuron (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Long Do
11 papers receiving 851 citations
Long Do's Hit Papers
Peers
Comparison fields: 5 of 108
- Environmental Engineering 142
- Rheumatology 119
- Pollution 98
- Renewable Energy, Sustainability and the Environment 118
- Ecology 175
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 | 604 |
| 2 | 2017 | 177 | |
| 3 | 2017 | 44 | |
| 4 | 2022 | 19 | |
| 5 | 2023 | 8 | |
| 6 | 2010 | 5 | |
| 7 | 2021 | 5 | |
| 8 | 2019 | 3 | |
| 9 | 2019 | 3 | |
| 10 | 2007 | 2 | |
| 11 | 2019 | 1 | |
| 12 | 2010 | 1 |
About Long Do
Long Do is a scholar working on Molecular Biology, Surgery, Cellular and Molecular Neuroscience, Rheumatology and Genetics, having authored 12 papers that have together received 872 indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (2 papers), Genomics and Phylogenetic Studies (2 papers), Neuroscience and Neural Engineering (1 paper), Cancer Genomics and Diagnostics (1 paper), Knee injuries and reconstruction techniques (1 paper), Microtubule and mitosis dynamics (1 paper), Neurobiology and Insect Physiology Research (1 paper) and Microbial Community Ecology and Physiology (1 paper). The work is most often cited by research in Environmental Engineering (142 citations), Rheumatology (119 citations), Pollution (98 citations), Renewable Energy, Sustainability and the Environment (118 citations) and Ecology (175 citations). Long Do has collaborated with scholars based in United States and Canada. Frequent co-authors include Thomas E. Hanson, Miriam Land, Dale A. Pelletier, Jane Gibson, Janet L. Gibson, Cedric E. Bobst, Patrick Chain, Caroline S. Harwood, J. Thomas Beatty and Frank W. Larimer. Their work appears in journals such as Osteoarthritis and Cartilage, Journal of Clinical Oncology, Journal of Digital Imaging, Cancers and Neuron.
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.