Koichiro Yoneyama
- Hematology top 1%
- Hemophilia Treatment and Research 20
- Platelet Disorders and Treatments 8
- Blood Coagulation and Thrombosis Mechanisms 6
- Chronic Myeloid Leukemia Treatments 3
- Genetics top 5%
- Coagulation, Bradykinin, Polyphosphates, and Angioedema 7
-
- Monoclonal and Polyclonal Antibodies Research 4
-
- Protein purification and stability 2
-
- Orthopaedic implants and arthroplasty 1
- Co-authors
- Midori ShimaKeiji NogamiMasashi TakiKatsuyuki FukutakeTetsuji SatoHiroki YoshidaTadashi MatsushitaHideji Hanabusa
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
Koichiro Yoneyama
20 papers receiving 994 citations
Hit Papers
Peers
Comparison fields: 5 of 46
- Hematology 908
- Genetics 350
- Radiology, Nuclear Medicine and Imaging 87
- Immunology 51
- Oncology 50
Countries citing papers authored by Koichiro Yoneyama
This map shows the geographic impact of Koichiro Yoneyama'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 Koichiro Yoneyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koichiro Yoneyama more than expected).
Fields of papers citing papers by Koichiro Yoneyama
This network shows the impact of papers produced by Koichiro Yoneyama. 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 Koichiro Yoneyama. The network helps show where Koichiro Yoneyama may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Koichiro Yoneyama, 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 | 2024 | 5 | |
| 3 | 2023 | 6 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 44 | |
| 6 | 2022 | 2 | |
| 7 | 2021 | 46 | |
| 8 | 2021 | 9 | |
| 9 | 2021 | 3 | |
| 10 | 2020 | 4 | |
| 11 | 2019 | 1 | |
| 12 | 2019 | 113 | |
| 13 | 2018 | 8 | |
| 14 | 2018 | 30 | |
| 15 | 2017 | 64 | |
| 16 | 2017 | 102 | |
| 17 | Factor VIII–Mimetic Function of Humanized Bispecific Antibody in Hemophilia Abreakdown → | 2016 | 326 |
| 18 | 2015 | 200 | |
| 19 | 2014 | 6 | |
| 20 | 2013 | 42 |
About Koichiro Yoneyama
Koichiro Yoneyama is a scholar working on Hematology, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 21 papers that have together received 1.0k indexed citations. Recurring topics across this work include Hemophilia Treatment and Research (20 papers), Platelet Disorders and Treatments (8 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (7 papers), Blood Coagulation and Thrombosis Mechanisms (6 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Chronic Myeloid Leukemia Treatments (3 papers), Protein purification and stability (2 papers) and Orthopaedic implants and arthroplasty (1 paper). The work is most often cited by research in Hematology (908 citations), Genetics (350 citations) and Radiology, Nuclear Medicine and Imaging (87 citations). Koichiro Yoneyama has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Midori Shima, Keiji Nogami, Masashi Taki, Katsuyuki Fukutake, Tetsuji Sato, Hiroki Yoshida, Tadashi Matsushita, Hideji Hanabusa, Takehiko Kawanishi and Shinichi Kobayashi. Their work appears in journals such as Blood, Haemophilia, The Journal of Clinical Pharmacology, Journal of Thrombosis and Haemostasis and New England Journal of Medicine.
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.