Na Bo
Impact in
- Health Information Management top 10%
- Electronic Health Records Systems
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- Coagulation, Bradykinin, Polyphosphates, and Angioedema
Papers in
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- Geriatric Care and Nursing Homes 2
- Interprofessional Education and Collaboration 2
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- HIV/AIDS Research and Interventions 2
- Co-authors
- Yuan Liu (1 shared paper)Robert A. Swerlick (1 shared paper)Ron J. Feldman (1 shared paper)Kathleen A. Lane (3 shared papers)Huiping Xu (2 shared papers)Wanzhu Tu (4 shared papers)Jessie V. Ford (3 shared papers)Brian Dodge (3 shared papers)
- Journals
- Journal of General Internal Medicine (2 papers)Journal of Clinical Oncology (1 paper)Pancreatology (1 paper)Journal of the American Medical Informatics Association (1 paper)Psychological Science (1 paper)
- Partner nations
- United StatesChinaFinland
In The Last Decade
Na Bo
20 papers receiving 241 citations
Peers
Comparison fields: 5 of 68
- Health Information Management 12
- Genetics 26
- Pathology and Forensic Medicine 42
- Health Informatics 3
- Rheumatology 26
Countries citing papers authored by Na Bo
This map shows the geographic impact of Na Bo'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 Na Bo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Na Bo more than expected).
Fields of papers citing papers by Na Bo
This network shows the impact of papers produced by Na Bo. 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 Na Bo. The network helps show where Na Bo may publish in the future.
Co-authors
The 25 scholars most cited alongside Na Bo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 43 | |
| 2 | 2021 | 34 | |
| 3 | 2019 | 33 | |
| 4 | 2021 | 30 | |
| 5 | 2020 | 22 | |
| 6 | 2019 | 15 | |
| 7 | 2019 | 13 | |
| 8 | 2019 | 11 | |
| 9 | 2019 | 9 | |
| 10 | 2021 | 8 | |
| 11 | 2019 | 8 | |
| 12 | 2020 | 5 | |
| 13 | 2022 | 4 | |
| 14 | 2020 | 3 | |
| 15 | 2022 | 2 | |
| 16 | 2022 | 2 | |
| 17 | 2025 | 2 | |
| 18 | 2020 | 2 | |
| 19 | 2021 | 1 | |
| 20 | 2024 | 1 |
About Na Bo
Na Bo is a scholar working on General Health Professions, Infectious Diseases, Social Psychology, Sociology and Political Science and Epidemiology, having authored 22 papers that have together received 248 indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (2 papers), HIV/AIDS Research and Interventions (2 papers), Statistical Methods and Inference (2 papers), Hospital Admissions and Outcomes (2 papers), LGBTQ Health, Identity, and Policy (2 papers), Geriatric Care and Nursing Homes (2 papers), Interprofessional Education and Collaboration (2 papers) and Congenital Heart Disease Studies (1 paper). The work is most often cited by research in Health Information Management (12 citations), Genetics (26 citations), Pathology and Forensic Medicine (42 citations), Health Informatics (3 citations) and Rheumatology (26 citations). Na Bo has collaborated with scholars based in United States, China and Finland. Frequent co-authors include Yuan Liu, Robert A. Swerlick, Ron J. Feldman, Kathleen A. Lane, Huiping Xu, Wanzhu Tu, Jessie V. Ford, Brian Dodge, Mark L. Hatzenbuehler and John E. Pachankis. Their work appears in journals such as Journal of General Internal Medicine, Journal of Clinical Oncology, Pancreatology, Journal of the American Medical Informatics Association and Psychological 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.