Naoki Aikawa
Impact in
-
- Trauma, Hemostasis, Coagulopathy, Resuscitation
- Internal Medicine top 2%
- Venous Thromboembolism Diagnosis and Management
Papers in
- Epidemiology 37
- Sepsis Diagnosis and Treatment 22
- Surgery 21
- Co-authors
- Seitaro Fujishima (32 shared papers)Shingo Hori (37 shared papers)Kiyotsugu Takuma (14 shared papers)Yotaro Shinozawa (12 shared papers)Yasuhiro Yamamoto (4 shared papers)Yasushi Kawasaki (2 shared papers)Satoshi Hori (5 shared papers)Ikuro Maruyama (3 shared papers)
- Journals
- The Keio Journal of Medicine (9 papers)Burns (7 papers)Surgery Today (4 papers)Shock (4 papers)Critical Care (3 papers)
- Partner nations
- JapanUnited StatesVietnam
In The Last Decade
Naoki Aikawa
114 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 139
- Critical Care and Intensive Care Medicine 565
- Internal Medicine 196
- Emergency Medicine 491
- Epidemiology 1.2k
- Hematology 337
Countries citing papers authored by Naoki Aikawa
This map shows the geographic impact of Naoki Aikawa'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 Naoki Aikawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoki Aikawa more than expected).
Fields of papers citing papers by Naoki Aikawa
This network shows the impact of papers produced by Naoki Aikawa. 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 Naoki Aikawa. The network helps show where Naoki Aikawa may publish in the future.
Co-authors
The 25 scholars most cited alongside Naoki Aikawa, 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 118 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 446 | |
| 2 | 1995 | 258 | |
| 3 | 2012 | 200 | |
| 4 | 1995 | 164 | |
| 5 | 2013 | 150 | |
| 6 | 1995 | 142 | |
| 7 | 2004 | 134 | |
| 8 | 2013 | 127 | |
| 9 | 1998 | 116 | |
| 10 | 2007 | 103 | |
| 11 | 2011 | 102 | |
| 12 | 2005 | 101 | |
| 13 | 2010 | 101 | |
| 14 | 2014 | 97 | |
| 15 | 2006 | 81 | |
| 16 | 2013 | 75 | |
| 17 | 1995 | 69 | |
| 18 | 2000 | 65 | |
| 19 | 2004 | 65 | |
| 20 | 2010 | 62 |
About Naoki Aikawa
Naoki Aikawa is a scholar working on Epidemiology, Surgery, Pulmonary and Respiratory Medicine, Emergency Medicine and Critical Care and Intensive Care Medicine, having authored 118 papers that have together received 4.0k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (22 papers), Respiratory Support and Mechanisms (12 papers), Cardiac Arrest and Resuscitation (12 papers), Trauma and Emergency Care Studies (9 papers), Antimicrobial Resistance in Staphylococcus (7 papers), Traumatic Brain Injury and Neurovascular Disturbances (7 papers), Antifungal resistance and susceptibility (6 papers) and Venous Thromboembolism Diagnosis and Management (6 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (565 citations), Internal Medicine (196 citations), Emergency Medicine (491 citations), Epidemiology (1.2k citations) and Hematology (337 citations). Naoki Aikawa has collaborated with scholars based in Japan, United States and Vietnam. Frequent co-authors include Seitaro Fujishima, Shingo Hori, Kiyotsugu Takuma, Yotaro Shinozawa, Yasuhiro Yamamoto, Yasushi Kawasaki, Satoshi Hori, Ikuro Maruyama, Akio Hirayama and Hiroyuki Nozaki. Their work appears in journals such as The Keio Journal of Medicine, Burns, Surgery Today, Shock and Critical Care.
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.