Nahoko Shindo

5.7k total citations · 3 hit papers
29 papers, 3.3k citations indexed

About

Nahoko Shindo is a scholar working on Infectious Diseases, Epidemiology and Modeling and Simulation. According to data from OpenAlex, Nahoko Shindo has authored 29 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Infectious Diseases, 13 papers in Epidemiology and 6 papers in Modeling and Simulation. Recurrent topics in Nahoko Shindo's work include Influenza Virus Research Studies (12 papers), Respiratory viral infections research (8 papers) and COVID-19 epidemiological studies (6 papers). Nahoko Shindo is often cited by papers focused on Influenza Virus Research Studies (12 papers), Respiratory viral infections research (8 papers) and COVID-19 epidemiological studies (6 papers). Nahoko Shindo collaborates with scholars based in Switzerland, Japan and Canada. Nahoko Shindo's co-authors include Dominique Heymann, Frederick G. Hayden, Timothy M. Uyeki, Matthew L. Lim, Carol Joseph, Tawee Chotpitayasunondh, Edgar Bautista, Jiří Kettner, David S.C. Hui and Michael W. Shaw and has published in prestigious journals such as New England Journal of Medicine, The Lancet and PLoS ONE.

In The Last Decade

Nahoko Shindo

27 papers receiving 3.2k citations

Hit Papers

Clinical Aspects of Pandemic 2009 Influenza A (H1N1) Viru... 2010 2026 2015 2020 2010 2020 2017 250 500 750

Peers

Nahoko Shindo
Comparison fields: 5 of 169
  • Infectious Diseases 1.5k
  • Epidemiology 1.4k
  • Modeling and Simulation 472
  • Immunology 255
  • Pulmonary and Respiratory Medicine 246
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Citations per field, relative to Nahoko Shindo
Nahoko Shindo · 1×
Citations per year, relative to Nahoko Shindo
Nahoko Shindo · 1×

Countries citing papers authored by Nahoko Shindo

Since Specialization
Citations

This map shows the geographic impact of Nahoko Shindo'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 Nahoko Shindo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nahoko Shindo more than expected).

Fields of papers citing papers by Nahoko Shindo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nahoko Shindo. 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 Nahoko Shindo. The network helps show where Nahoko Shindo may publish in the future.

Co-authorship network of co-authors of Nahoko Shindo

This figure shows the co-authorship network connecting the top 25 collaborators of Nahoko Shindo. A scholar is included among the top collaborators of Nahoko Shindo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nahoko Shindo. Nahoko Shindo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2
COVID-19: what is next for public health? breakdown →
728
3 193
4
Middle East Respiratory Syndrome breakdown →
373
5 20
6 40
7 12
8 1
9 180
10 111
11 67
12 38
13 24
14 98
15 11
16
[Influenza epidemic found in a survey on incidence of infectious diseases--the 1999 data on warnings and notices].
3
17
[Application of heparin-coated percutaneous cardiopulmonary support system to elective cardiac and aortic operations].
1
18 1
19
Pharmacokinetics of azithromycin in patients with renal failure
2
20 1

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.

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