Toshifumi Morooka
- Surgery top 10%
- Cardiology and Cardiovascular Medicine top 5%
- Molecular Biology
- Immunology top 10%
- Pulmonary and Respiratory Medicine
- Co-authors
- Teruo InoueKoichi NodeDaniel I. SimonKevin CroceMasashi SakumaNorihiko KotookaToshihiko UchidaToru Kato
- Topics
- Platelet Disorders and Treatments (2 papers)Biomarkers in Disease Mechanisms (2 papers)Cardiac Imaging and Diagnostics (2 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Toshifumi Morooka
20 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Surgery 334
- Cardiology and Cardiovascular Medicine 321
- Molecular Biology 265
- Immunology 236
- Pulmonary and Respiratory Medicine 169
Countries citing papers authored by Toshifumi Morooka
This map shows the geographic impact of Toshifumi Morooka'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 Toshifumi Morooka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toshifumi Morooka more than expected).
Fields of papers citing papers by Toshifumi Morooka
This network shows the impact of papers produced by Toshifumi Morooka. 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 Toshifumi Morooka. The network helps show where Toshifumi Morooka may publish in the future.
Co-authorship network of co-authors of Toshifumi Morooka
This figure shows the co-authorship network connecting the top 25 collaborators of Toshifumi Morooka. A scholar is included among the top collaborators of Toshifumi Morooka 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 Toshifumi Morooka. Toshifumi Morooka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 104 | |
| 3 | 46 | |
| 4 | 40 | |
| 5 | Vascular Inflammation and Repairbreakdown → | 380 |
| 6 | 51 | |
| 7 | 18 | |
| 8 | 28 | |
| 9 | 107 | |
| 10 | 31 | |
| 11 | 68 | |
| 12 | 10 | |
| 13 | 22 | |
| 14 | OE-009 The Possible Role of Oxidative Stress Caused by Uncoupled eNOS in Left Ventricular Remodeling after Myocardial Infarction in Rats(Chronic coronary heart disease/Remodeling-1 (IHD) OE2,Oral Presentation (English),The 70th Anniversary Annual Scientific Meeting of the Japanese Circulation Society) | 1 |
| 15 | 10 | |
| 16 | 71 | |
| 17 | 0 | |
| 18 | 34 | |
| 19 | APACHE (Acute Physiology, Age, Chronic Health Evaluation) III score is a powerful predictor of 30-days mortality in acute heart failure | 1 |
| 20 | [Assessment of anesthesia satisfaction using direct interviews at post-anesthesia clinic]. | 5 |
About Toshifumi Morooka
Toshifumi Morooka is a scholar working on Immunology, Cardiology and Cardiovascular Medicine and Cancer Research, having authored 21 papers that have together received 1.0k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (2 papers), Biomarkers in Disease Mechanisms (2 papers) and Cardiac Imaging and Diagnostics (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (321 citations), Immunology (236 citations) and Hematology (109 citations). Toshifumi Morooka has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Teruo Inoue, Koichi Node, Daniel I. Simon, Kevin Croce, Masashi Sakuma, Norihiko Kotooka, Toshihiko Uchida, Toru Kato, Nobuo Yoshimoto and Hiroshi Komoda. Their work appears in journals such as Journal of Clinical Investigation, Blood and Arteriosclerosis Thrombosis and Vascular Biology.
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.