Kenichi Ogiwara
- Hematology top 1%
- Hemophilia Treatment and Research 67
- Blood Coagulation and Thrombosis Mechanisms 53
- Platelet Disorders and Treatments 42
- Hemostasis and retained surgical items 15
- Blood groups and transfusion 12
- Internal Medicine top 5%
- Genetics top 5%
- Coagulation, Bradykinin, Polyphosphates, and Angioedema 21
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- Blood properties and coagulation 10
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- Antiplatelet Therapy and Cardiovascular Diseases 7
- Co-authors
- Midori ShimaKeiji NogamiTomoko MatsumotoKoji YadaShoko FurukawaMasahiro TakeyamaDavid LillicrapTetsuhiro Soeda
- Cited by
- HematologyInternal MedicineGenetics
- Journals
- Journal of Biological Chemistry (2 papers)Blood (12 papers)Journal of the American College of Cardiology (1 paper)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Kenichi Ogiwara
85 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 68
- Hematology 855
- Internal Medicine 111
- Genetics 229
- Critical Care and Intensive Care Medicine 80
- Biochemistry 40
Countries citing papers authored by Kenichi Ogiwara
This map shows the geographic impact of Kenichi Ogiwara'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 Kenichi Ogiwara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenichi Ogiwara more than expected).
Fields of papers citing papers by Kenichi Ogiwara
This network shows the impact of papers produced by Kenichi Ogiwara. 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 Kenichi Ogiwara. The network helps show where Kenichi Ogiwara may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kenichi Ogiwara, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 2 | |
| 7 | 2022 | 2 | |
| 8 | 2022 | 5 | |
| 9 | 2022 | 1 | |
| 10 | 2020 | 10 | |
| 11 | 2020 | 23 | |
| 12 | 2019 | 9 | |
| 13 | 2019 | 19 | |
| 14 | 2018 | 12 | |
| 15 | 2015 | 4 | |
| 16 | 2014 | 17 | |
| 17 | 2012 | 53 | |
| 18 | 2011 | 5 | |
| 19 | 2010 | 3 | |
| 20 | 2008 | 14 |
About Kenichi Ogiwara
Kenichi Ogiwara is a scholar working on Hematology, Genetics and Internal Medicine, having authored 95 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hemophilia Treatment and Research (67 papers), Blood Coagulation and Thrombosis Mechanisms (53 papers), Platelet Disorders and Treatments (42 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (21 papers), Hemostasis and retained surgical items (15 papers), Blood groups and transfusion (12 papers), Blood properties and coagulation (10 papers) and Antiplatelet Therapy and Cardiovascular Diseases (7 papers). The work is most often cited by research in Hematology (855 citations), Internal Medicine (111 citations) and Genetics (229 citations). Kenichi Ogiwara has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Midori Shima, Keiji Nogami, Tomoko Matsumoto, Koji Yada, Shoko Furukawa, Masahiro Takeyama, David Lillicrap, Tetsuhiro Soeda, Wilma M. Hopman and Alison Michels. Their work appears in journals such as Journal of Biological Chemistry, Blood and Journal of the American College of Cardiology.
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.