Hideyuki Takedani

622 total citations
45 papers, 356 citations indexed

About

Hideyuki Takedani is a scholar working on Hematology, Genetics and Surgery. According to data from OpenAlex, Hideyuki Takedani has authored 45 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Hematology, 12 papers in Genetics and 8 papers in Surgery. Recurrent topics in Hideyuki Takedani's work include Hemophilia Treatment and Research (43 papers), Blood Coagulation and Thrombosis Mechanisms (18 papers) and Hemostasis and retained surgical items (8 papers). Hideyuki Takedani is often cited by papers focused on Hemophilia Treatment and Research (43 papers), Blood Coagulation and Thrombosis Mechanisms (18 papers) and Hemostasis and retained surgical items (8 papers). Hideyuki Takedani collaborates with scholars based in Japan, United States and United Kingdom. Hideyuki Takedani's co-authors include Miwa Goto, Nobuhiko Haga, Jun Hirose, Osamu Nitta, Minoru Kubota, Midori Shima, Tomohiko Koibuchi, Katsuyuki Fukutake, Satoshi Ito and Kei Ohnuma and has published in prestigious journals such as Blood, BMJ Open and Drug Design Development and Therapy.

In The Last Decade

Hideyuki Takedani

41 papers receiving 341 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hideyuki Takedani Japan 13 322 64 61 25 10 45 356
Melanie Bladen United Kingdom 9 264 0.8× 53 0.8× 77 1.3× 6 0.2× 10 1.0× 21 292
Merel A. Timmer Netherlands 12 323 1.0× 63 1.0× 93 1.5× 12 0.5× 7 0.7× 32 346
Paula Ribeiro Villaça Brazil 9 148 0.5× 23 0.4× 45 0.7× 13 0.5× 10 1.0× 29 191
Marcela Torres United States 6 124 0.4× 9 0.1× 63 1.0× 20 0.8× 7 0.7× 18 178
Jeanette Payne United Kingdom 8 137 0.4× 8 0.1× 34 0.6× 17 0.7× 14 1.4× 17 186
C. Cox United States 3 112 0.3× 23 0.4× 59 1.0× 8 0.3× 5 0.5× 4 172
Renée C. Rees United States 7 295 0.9× 9 0.1× 340 5.6× 13 1.3× 16 356
Susanne Macher Austria 8 86 0.3× 15 0.2× 37 0.6× 2 0.1× 2 0.2× 13 140
Banu Kaya United Kingdom 8 132 0.4× 7 0.1× 168 2.8× 1 0.0× 11 1.1× 15 187
Marcos Cerqueira Portugal 7 56 0.2× 19 0.3× 8 0.1× 18 1.8× 36 151

Countries citing papers authored by Hideyuki Takedani

Since Specialization
Citations

This map shows the geographic impact of Hideyuki Takedani'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 Hideyuki Takedani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hideyuki Takedani more than expected).

Fields of papers citing papers by Hideyuki Takedani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hideyuki Takedani. 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 Hideyuki Takedani. The network helps show where Hideyuki Takedani may publish in the future.

Co-authorship network of co-authors of Hideyuki Takedani

This figure shows the co-authorship network connecting the top 25 collaborators of Hideyuki Takedani. A scholar is included among the top collaborators of Hideyuki Takedani 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 Hideyuki Takedani. Hideyuki Takedani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Inagaki, Yusuke, Kagehiro Amano, Miwa Goto, et al.. (2025). Managing Haemophilic Arthropathy in People With Haemophilia in Japan: An Informal Consensus. Haemophilia. 31(5). 1054–1065. 1 indexed citations
2.
Inagaki, Yusuke, et al.. (2024). Artificial intelligence–assisted ultrasound imaging in hemophilia: research, development, and evaluation of hemarthrosis and synovitis detection. Research and Practice in Thrombosis and Haemostasis. 8(4). 102439–102439. 3 indexed citations
3.
Fukutake, Katsuyuki, et al.. (2024). Integrating musculoskeletal ultrasound as a shared decision-making tool in hemophilia care: observations from a 3-year study. Research and Practice in Thrombosis and Haemostasis. 8(5). 102511–102511.
4.
Takedani, Hideyuki, et al.. (2023). Linguistic validation of Barriers to Being Active Quiz (BBAQ-21) in Japanese patients with hemophilia. Japanese Journal of Thrombosis and Hemostasis. 34(3). 381–393.
5.
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7.
Takedani, Hideyuki, et al.. (2020). Risk of deep venous thrombosis after total knee arthroplasty in patients with haemophilia A. Haemophilia. 26(5). 867–872. 10 indexed citations
8.
Fujii, Teruhisa, et al.. (2020). Long‐term impact of haemarthrosis on arthropathy and activities of daily living in Japanese persons with haemophilia. Haemophilia. 26(3). e124–e127. 1 indexed citations
9.
Takedani, Hideyuki, Akira Ishiguro, Masataka Ishimura, et al.. (2019). Perioperative safety and haematostatic efficacy of a new bypassing agent pd-FVIIa/FX (Byclot) in haemophilia patients with high-responding type inhibitors. Blood Coagulation & Fibrinolysis. 30(8). 385–392. 4 indexed citations
10.
Goto, Miwa, et al.. (2016). Strategies to encourage physical activity in patients with hemophilia to improve quality of life. Journal of Blood Medicine. 7. 85–85. 28 indexed citations
11.
Takedani, Hideyuki & Jun Hirose. (2015). Turoctocog alfa: an evidence-based review of its potential in the treatment of hemophilia A. Drug Design Development and Therapy. 9. 1767–1767. 4 indexed citations
12.
Takedani, Hideyuki, Kei Ohnuma, & Jun Hirose. (2015). Deep venous thrombosis was not detected after total knee arthroplasty in Japanese patients with haemophilia. Haemophilia. 21(5). 585–588. 17 indexed citations
13.
Goto, Miwa, Hideyuki Takedani, Minoru Kubota, Nobuhiko Haga, & Osamu Nitta. (2014). The effect of a home exercise program for patients with hemophilia. An Official Journal of the Japan Primary Care Association. 37(1). 22–26. 2 indexed citations
14.
Goto, Miwa, et al.. (2014). Factors related to quality of life in patients with hemophilia. Japanese Journal of Thrombosis and Hemostasis. 25(3). 388–395. 2 indexed citations
15.
Shirahata, Akira, Katsuyuki Fukutake, Junki Takamatsu, et al.. (2012). Results of clot waveform analysis and thrombin generation test for a plasma‐derived factor VIIa and X mixture (MC710) in haemophilia patients with inhibitors—phase I trial: 2nd report. Haemophilia. 19(2). 330–337. 19 indexed citations
16.
Shirahata, Akira, Katsuyuki Fukutake, Junki Takamatsu, et al.. (2011). Clinical pharmacological study of a plasma‐derived factor VIIa and factor X mixture (MC710) in haemophilia patients with inhibitors – Phase I trial. Haemophilia. 18(1). 94–101. 14 indexed citations
17.
Takedani, Hideyuki, et al.. (2009). Major orthopaedic surgeries for haemophilia with inhibitors using rFVIIa. Haemophilia. 16(2). 290–295. 12 indexed citations
18.
Shirahata, Akira, Toshiaki Oka, Katsuyuki Fukutake, et al.. (2006). Long-term safety and efficacy of recombinant activated factor VII (NovoSeven) in haemophilia patients with inhibitors: interim post marketing study analysis of 5 patient exposure years. Japanese Journal of Thrombosis and Hemostasis. 17(3). 331–344. 3 indexed citations
19.
Takedani, Hideyuki, et al.. (2006). Continuous infusion with factor VIII concentrates during total joint arthroplasty for hemophilia A. Japanese Journal of Thrombosis and Hemostasis. 17(1). 47–54. 1 indexed citations
20.
Takedani, Hideyuki, et al.. (2004). Excision of pseudotumour in a patient with haemophilia A and inhibitor managed with recombinant factor VIIa. Haemophilia. 10(2). 179–182. 9 indexed citations

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.

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