Hiroki Tsukada
Impact in
- Virology top 5%
- HIV Research and Treatment
- Nephrology top 5%
- Renal Diseases and Glomerulopathies
Papers in
-
- Nosocomial Infections in ICU 7
- Co-authors
- Fumitake GejyoMasao MitsuyamaMasaaki ArakawaIkuo KawamuraHirokazu SatoYasuo NakatomiK NomotoShigeru Yagi
- Journals
- Lung (3 papers)Infection and Immunity (3 papers)Scientific Reports (2 papers)Respirology (2 papers)Hypertension (2 papers)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Hiroki Tsukada
63 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 110
- Virology 107
- Nephrology 134
- Molecular Medicine 84
- Applied Microbiology and Biotechnology 34
- Infectious Diseases 308
Countries citing papers authored by Hiroki Tsukada
This map shows the geographic impact of Hiroki Tsukada'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 Hiroki Tsukada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroki Tsukada more than expected).
Fields of papers citing papers by Hiroki Tsukada
This network shows the impact of papers produced by Hiroki Tsukada. 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 Hiroki Tsukada. The network helps show where Hiroki Tsukada may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hiroki Tsukada, 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 | 2025 | 1 | |
| 2 | 2018 | 1 | |
| 3 | 2018 | 38 | |
| 4 | 2017 | 22 | |
| 5 | 2017 | 10 | |
| 6 | 2017 | 18 | |
| 7 | 2016 | 77 | |
| 8 | 2014 | 3 | |
| 9 | 2007 | 17 | |
| 10 | 2007 | 169 | |
| 11 | 2006 | 8 | |
| 12 | 2004 | 17 | |
| 13 | A Multiple Superantigenic Toxin Pattern of Methicillin-resistant Staphylococcus aureus (MRSA) as a Risk Factor in the Development of Toxic Shock Syndrome (TSS) | 2003 | 3 |
| 14 | 2003 | 8 | |
| 15 | 2000 | 10 | |
| 16 | 1999 | 50 | |
| 17 | 1994 | 120 | |
| 18 | 1993 | 2 | |
| 19 | 1993 | 11 | |
| 20 | Cloudy nodule on HRCT: a new clinico-radiologic entity of pulmonary adenocarcinoma. | 1982 | 6 |
About Hiroki Tsukada
Hiroki Tsukada is a scholar working on Critical Care and Intensive Care Medicine, Applied Microbiology and Biotechnology, Molecular Medicine, Epidemiology and Pulmonary and Respiratory Medicine, having authored 65 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (10 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (9 papers), Pneumocystis jirovecii pneumonia detection and treatment (7 papers), Nosocomial Infections in ICU (7 papers), Medical Imaging and Pathology Studies (5 papers), Protease and Inhibitor Mechanisms (4 papers), Inflammatory Myopathies and Dermatomyositis (4 papers) and Emergency and Acute Care Studies (4 papers). The work is most often cited by research in Virology (107 citations), Nephrology (134 citations), Molecular Medicine (84 citations), Applied Microbiology and Biotechnology (34 citations) and Infectious Diseases (308 citations). Hiroki Tsukada has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Fumitake Gejyo, Masao Mitsuyama, Masaaki Arakawa, Ikuo Kawamura, Hirokazu Sato, Yasuo Nakatomi, K Nomoto, Shigeru Yagi, Masashi Fujita and Hideshi Yoshikawa. Their work appears in journals such as Lung, Infection and Immunity, Scientific Reports, Respirology and Hypertension.
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.