Masashi Taki
- Hematology top 1%
- Hemophilia Treatment and Research 31
- Platelet Disorders and Treatments 24
- Blood Coagulation and Thrombosis Mechanisms 16
- Chronic Myeloid Leukemia Treatments 5
- Hemostasis and retained surgical items 4
- Genetics top 5%
- Coagulation, Bradykinin, Polyphosphates, and Angioedema 8
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- Venous Thromboembolism Diagnosis and Management 5
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- Cancer-related gene regulation 5
- Co-authors
- Midori ShimaKeiji NogamiKoichiro YoneyamaTadashi MatsushitaKatsuyuki FukutakeHideji HanabusaTetsuji SatoHiroki Yoshida
- Cited by
- HematologyGeneticsVirology
- Journals
- New England Journal of Medicine (1 paper)Blood (5 papers)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- JapanUnited StatesHong Kong
In The Last Decade
Masashi Taki
56 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 65
- Hematology 771
- Genetics 241
- Virology 32
- Internal Medicine 25
- Hepatology 46
Countries citing papers authored by Masashi Taki
This map shows the geographic impact of Masashi Taki'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 Masashi Taki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masashi Taki more than expected).
Fields of papers citing papers by Masashi Taki
This network shows the impact of papers produced by Masashi Taki. 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 Masashi Taki. The network helps show where Masashi Taki may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Masashi Taki, 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 | 2022 | 4 | |
| 2 | 2022 | 5 | |
| 3 | 2018 | 4 | |
| 4 | 2017 | 7 | |
| 5 | Factor VIII–Mimetic Function of Humanized Bispecific Antibody in Hemophilia Abreakdown → | 2016 | 326 |
| 6 | 2015 | 3 | |
| 7 | 2013 | 62 | |
| 8 | 2010 | 1 | |
| 9 | 2010 | 5 | |
| 10 | A Nationwide Survey of Childhood Idiopathic Thrombocytopenic Purpura in 2006 | 2008 | 2 |
| 11 | 2008 | 1 | |
| 12 | 2008 | 1 | |
| 13 | 2006 | 3 | |
| 14 | 2006 | 17 | |
| 15 | 2006 | 12 | |
| 16 | 2005 | 12 | |
| 17 | 2004 | 15 | |
| 18 | 2001 | 5 | |
| 19 | 1999 | 3 | |
| 20 | 1990 | 20 |
About Masashi Taki
Masashi Taki is a scholar working on Hematology, Internal Medicine and Genetics, having authored 58 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hemophilia Treatment and Research (31 papers), Platelet Disorders and Treatments (24 papers), Blood Coagulation and Thrombosis Mechanisms (16 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (8 papers), Chronic Myeloid Leukemia Treatments (5 papers), Cancer-related gene regulation (5 papers), Venous Thromboembolism Diagnosis and Management (5 papers) and Hemostasis and retained surgical items (4 papers). The work is most often cited by research in Hematology (771 citations), Genetics (241 citations) and Virology (32 citations). Masashi Taki has collaborated with scholars based in Japan, United States and Hong Kong. Frequent co-authors include Midori Shima, Keiji Nogami, Koichiro Yoneyama, Tadashi Matsushita, Katsuyuki Fukutake, Hideji Hanabusa, Tetsuji Sato, Hiroki Yoshida, Kazunobu Ouchi and Koichiro Sato. Their work appears in journals such as New England Journal of Medicine, Blood and Biochemical and Biophysical Research Communications.
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.