Shigeki Nakamura
- Epidemiology top 2%
- Pulmonary and Respiratory Medicine top 2%
- Molecular Biology top 10%
- Infectious Diseases top 2%
- Social Psychology top 2%
- Co-authors
- Yoshitaka YamamuraToyoki MoriKimberly M. DavisJeffrey N. WeiserKatsunori YanagiharaToshiyuki OnogawaKoichi IzumikawaShigeru Kohno
- Topics
- Antifungal resistance and susceptibility (39 papers)Pneumonia and Respiratory Infections (36 papers)Fungal Infections and Studies (32 papers)
- Partner nations
- JapanUnited StatesPakistan
In The Last Decade
Shigeki Nakamura
200 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 139
- Epidemiology 1.4k
- Pulmonary and Respiratory Medicine 1.3k
- Molecular Biology 1.2k
- Infectious Diseases 844
- Social Psychology 629
Countries citing papers authored by Shigeki Nakamura
This map shows the geographic impact of Shigeki Nakamura'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 Shigeki Nakamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shigeki Nakamura more than expected).
Fields of papers citing papers by Shigeki Nakamura
This network shows the impact of papers produced by Shigeki Nakamura. 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 Shigeki Nakamura. The network helps show where Shigeki Nakamura may publish in the future.
Co-authorship network of co-authors of Shigeki Nakamura
This figure shows the co-authorship network connecting the top 25 collaborators of Shigeki Nakamura. A scholar is included among the top collaborators of Shigeki Nakamura 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 Shigeki Nakamura. Shigeki Nakamura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 28 | |
| 8 | 14 | |
| 9 | Analysis of gene mutations encoding sarcomeric proteins in sudden death cases caused by cardiomyopathy | 1 |
| 10 | 41 | |
| 11 | 12 | |
| 12 | 70 | |
| 13 | Mutational analysis of the mitochondrial DNA detected in sudden cardiac death caused by cardiomyopathy | 3 |
| 14 | 15 | |
| 15 | 3 | |
| 16 | 30 | |
| 17 | 2 | |
| 18 | 292 | |
| 19 | HIP-produced bimetallic cylinder for plastic molding machines | 1 |
| 20 | 8 |
About Shigeki Nakamura
Shigeki Nakamura is a scholar working on Microbiology, Infectious Diseases and Molecular Medicine, having authored 206 papers that have together received 4.3k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (39 papers), Pneumonia and Respiratory Infections (36 papers) and Fungal Infections and Studies (32 papers). The work is most often cited by research in Molecular Medicine (230 citations), Infectious Diseases (844 citations) and Pulmonary and Respiratory Medicine (1.3k citations). Shigeki Nakamura has collaborated with scholars based in Japan, United States and Pakistan. Frequent co-authors include Yoshitaka Yamamura, Toyoki Mori, Kimberly M. Davis, Jeffrey N. Weiser, Katsunori Yanagihara, Toshiyuki Onogawa, Koichi Izumikawa, Shigeru Kohno, Michiaki Tominaga and Hidenori Ogawa. Their work appears in journals such as Science, Journal of Clinical Investigation and PLoS ONE.
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.