Nobuoki Eshima
- Periodontics top 1%
- Neurology top 10%
- Modeling and Simulation top 5%
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- Diabetes, Cardiovascular Risks, and Lipoproteins 9
- Nephrology top 10%
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- Economic theories and models 11
- Regional Economics and Spatial Analysis 8
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- Cardiovascular Function and Risk Factors 9
- Cardiovascular Health and Disease Prevention 7
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- Mathematical and Theoretical Epidemiology and Ecology Models 9
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- Adipokines, Inflammation, and Metabolic Diseases 7
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- Wireless Communication Networks Research 6
- Co-authors
- Minoru TabataFutoshi AnanTetsunori SaikawaTakayuki MasakiHironobu YoshimatsuYoshikazu UmenoYoshihisa YamashitaToru Takeshita
- Journals
- Metabolism (11 papers)Applied Mathematics and Computation (10 papers)Nonlinear Analysis Real World Applications (6 papers)
- Partner nations
- JapanNew ZealandItaly
In The Last Decade
Nobuoki Eshima
108 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 158
- Periodontics 220
- Neurology 102
- Modeling and Simulation 52
- Endocrinology, Diabetes and Metabolism 130
- Nephrology 55
Countries citing papers authored by Nobuoki Eshima
This map shows the geographic impact of Nobuoki Eshima'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 Nobuoki Eshima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nobuoki Eshima more than expected).
Fields of papers citing papers by Nobuoki Eshima
This network shows the impact of papers produced by Nobuoki Eshima. 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 Nobuoki Eshima. The network helps show where Nobuoki Eshima may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nobuoki Eshima, 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 | 2019 | 12 | |
| 2 | 2015 | 4 | |
| 3 | 2014 | 7 | |
| 4 | 2012 | 22 | |
| 5 | 2011 | 12 | |
| 6 | 2011 | 12 | |
| 7 | 2010 | 6 | |
| 8 | 2009 | 22 | |
| 9 | 2009 | 16 | |
| 10 | 2008 | 44 | |
| 11 | 2008 | 19 | |
| 12 | 2008 | 8 | |
| 13 | 2007 | 5 | |
| 14 | 2007 | 21 | |
| 15 | 2007 | 21 | |
| 16 | 2006 | 2 | |
| 17 | 2003 | 13 | |
| 18 | Decay of solutions to the mixed problem for the linearized Boltzmann equation with a potential term in a polyhedral bounded domain | 2000 | 1 |
| 19 | 1997 | 1 | |
| 20 | 1990 | 0 |
About Nobuoki Eshima
Nobuoki Eshima is a scholar working on Statistics and Probability, Periodontics and Modeling and Simulation, having authored 114 papers that have together received 1.4k indexed citations. Recurring topics across this work include Economic theories and models (11 papers), Cardiovascular Function and Risk Factors (9 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), Mathematical and Theoretical Epidemiology and Ecology Models (9 papers), Regional Economics and Spatial Analysis (8 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers), Cardiovascular Health and Disease Prevention (7 papers) and Wireless Communication Networks Research (6 papers). The work is most often cited by research in Periodontics (220 citations), Neurology (102 citations) and Modeling and Simulation (52 citations). Nobuoki Eshima has collaborated with scholars based in Japan, New Zealand and Italy. Frequent co-authors include Minoru Tabata, Futoshi Anan, Tetsunori Saikawa, Takayuki Masaki, Hironobu Yoshimatsu, Yoshikazu Umeno, Yoshihisa Yamashita, Toru Takeshita, Michiko Furuta and Hidetoshi Yonemochi. Their work appears in journals such as Metabolism, Applied Mathematics and Computation, Nonlinear Analysis Real World Applications, European Journal of Clinical Investigation and Hypertension Research.
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.