Ning Yan Gu
Impact in
-
- Cardiac pacing and defibrillation studies
- Cardiac Arrhythmias and Treatments
Papers in
-
- Health Systems, Economic Evaluations, Quality of Life 11
-
- Cardiac pacing and defibrillation studies 2
- Co-authors
- Jason N. Doctor (2 shared papers)Seth S. Leopold (2 shared papers)Paul Manner (2 shared papers)Joel W. Hay (4 shared papers)Rahul N. Doshi (1 shared paper)Derek V. Exner (1 shared paper)Yelena Nabutovsky (1 shared paper)Nima Badie (1 shared paper)
- Journals
- Health and Quality of Life Outcomes (3 papers)Value in Health (3 papers)Electronics Letters (2 papers)Patient (2 papers)Gene (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Ning Yan Gu
35 papers receiving 591 citations
Peers
Comparison fields: 5 of 86
- Cardiology and Cardiovascular Medicine 88
- Geriatrics and Gerontology 12
- Obstetrics and Gynecology 23
- Surgery 123
- Health 21
Countries citing papers authored by Ning Yan Gu
This map shows the geographic impact of Ning Yan Gu'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 Ning Yan Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ning Yan Gu more than expected).
Fields of papers citing papers by Ning Yan Gu
This network shows the impact of papers produced by Ning Yan Gu. 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 Ning Yan Gu. The network helps show where Ning Yan Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ning Yan Gu, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 102 | |
| 2 | 2017 | 98 | |
| 3 | 1997 | 65 | |
| 4 | 2021 | 50 | |
| 5 | 2022 | 25 | |
| 6 | 2010 | 23 | |
| 7 | 2022 | 20 | |
| 8 | 2006 | 18 | |
| 9 | 2011 | 18 | |
| 10 | 2008 | 18 | |
| 11 | 2022 | 16 | |
| 12 | 2013 | 16 | |
| 13 | 2008 | 16 | |
| 14 | 2018 | 15 | |
| 15 | 2013 | 12 | |
| 16 | 2012 | 12 | |
| 17 | 2014 | 10 | |
| 18 | 2021 | 9 | |
| 19 | 2022 | 9 | |
| 20 | 2023 | 8 |
About Ning Yan Gu
Ning Yan Gu is a scholar working on Economics and Econometrics, Cardiology and Cardiovascular Medicine, Signal Processing, Computational Mechanics and Surgery, having authored 37 papers that have together received 602 indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (11 papers), Blind Source Separation Techniques (3 papers), Advanced Adaptive Filtering Techniques (3 papers), Cardiac pacing and defibrillation studies (2 papers), Vaccine Coverage and Hesitancy (2 papers), Alzheimer's disease research and treatments (1 paper), COVID-19 epidemiological studies (1 paper) and Gout, Hyperuricemia, Uric Acid (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (88 citations), Geriatrics and Gerontology (12 citations), Obstetrics and Gynecology (23 citations), Surgery (123 citations) and Health (21 citations). Ning Yan Gu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Jason N. Doctor, Seth S. Leopold, Paul Manner, Joel W. Hay, Rahul N. Doshi, Derek V. Exner, Yelena Nabutovsky, Nima Badie, Daniel J. Cantillon and Kevin J. Davis. Their work appears in journals such as Health and Quality of Life Outcomes, Value in Health, Electronics Letters, Patient and Gene.
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.