Lisa M. Ogawa
- Gender Studies top 10%
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- RNA modifications and cancer 7
- RNA and protein synthesis mechanisms 4
- DNA Repair Mechanisms 2
- Cancer-related gene regulation 2
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- HIV/AIDS Research and Interventions 3
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- Cannabis and Cannabinoid Research 2
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- Genetic diversity and population structure 2
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- Neurotransmitter Receptor Influence on Behavior 2
- Co-authors
- Susan J. BasergaKatherine I. Farley‐BarnesEric J. VallenderYulia V. SurovtsevaKathleen L. McCannJanie MerkelJeroan J. AllisonMarc A. Nivet
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Trends in Genetics (1 paper)Molecular Biology of the Cell (1 paper)
- Partner nations
- United StatesDenmarkGermany
In The Last Decade
Lisa M. Ogawa
18 papers receiving 535 citations
Peers
Comparison fields: 5 of 98
- Gender Studies 52
- Molecular Biology 349
- Emergency Medical Services 21
- Oncology 53
- Public Health, Environmental and Occupational Health 51
Countries citing papers authored by Lisa M. Ogawa
This map shows the geographic impact of Lisa M. Ogawa'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 Lisa M. Ogawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisa M. Ogawa more than expected).
Fields of papers citing papers by Lisa M. Ogawa
This network shows the impact of papers produced by Lisa M. Ogawa. 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 Lisa M. Ogawa. The network helps show where Lisa M. Ogawa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lisa M. Ogawa, 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 | 2023 | 5 | |
| 2 | 2022 | 5 | |
| 3 | 2021 | 21 | |
| 4 | 2019 | 8 | |
| 5 | 2019 | 127 | |
| 6 | 2019 | 44 | |
| 7 | 2018 | 80 | |
| 8 | 2017 | 68 | |
| 9 | 2017 | 9 | |
| 10 | 2016 | 16 | |
| 11 | 2015 | 74 | |
| 12 | 2015 | 3 | |
| 13 | 2014 | 17 | |
| 14 | 2014 | 20 | |
| 15 | 2014 | 22 | |
| 16 | 2013 | 4 | |
| 17 | 2009 | 9 | |
| 18 | 2008 | 7 |
About Lisa M. Ogawa
Lisa M. Ogawa is a scholar working on Hepatology, Ecological Modeling and Cellular and Molecular Neuroscience, having authored 18 papers that have together received 539 indexed citations. Recurring topics across this work include RNA modifications and cancer (7 papers), RNA and protein synthesis mechanisms (4 papers), HIV/AIDS Research and Interventions (3 papers), DNA Repair Mechanisms (2 papers), Cannabis and Cannabinoid Research (2 papers), Genetic diversity and population structure (2 papers), Neurotransmitter Receptor Influence on Behavior (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Gender Studies (52 citations), Molecular Biology (349 citations) and Emergency Medical Services (21 citations). Lisa M. Ogawa has collaborated with scholars based in United States, Denmark and Germany. Frequent co-authors include Susan J. Baserga, Katherine I. Farley‐Barnes, Eric J. Vallender, Yulia V. Surovtseva, Kathleen L. McCann, Janie Merkel, Jeroan J. Allison, Marc A. Nivet, Patrick Sung and Laura Castillo-Page. Their work appears in journals such as Proceedings of the National Academy of Sciences, Trends in Genetics and Molecular Biology of the Cell.
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.