Miho Sakakura

45 total papers · 853 total citations
35 papers, 680 citations indexed

About

Miho Sakakura is a scholar working on Hematology, Genetics and Surgery. According to data from OpenAlex, Miho Sakakura has authored 35 papers receiving a total of 680 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Hematology, 8 papers in Genetics and 7 papers in Surgery. Recurrent topics in Miho Sakakura's work include Blood Coagulation and Thrombosis Mechanisms (9 papers), Platelet Disorders and Treatments (5 papers) and Blood properties and coagulation (4 papers). Miho Sakakura is often cited by papers focused on Blood Coagulation and Thrombosis Mechanisms (9 papers), Platelet Disorders and Treatments (5 papers) and Blood properties and coagulation (4 papers). Miho Sakakura collaborates with scholars based in Japan, United Kingdom and United States. Miho Sakakura's co-authors include Hiroshi Shiku, Hideo Wada, Tsutomu Nobori, S Waga, Isao Tawara, Norimasa Sagawa, Takashi Sugiyama, Esteban C. Gabazza, Masakatsu Nishikawa and Yuji Yamamoto and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and Thrombosis Research.

In The Last Decade

Miho Sakakura

34 papers receiving 646 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Miho Sakakura	315	134	101	99	92	35	680
Fred V. Plapp	292 0.9×	99 0.7×	165 1.6×	41 0.4×	95 1.0×	30	592
Carmen Jiménez	420 1.3×	83 0.6×	96 1.0×	44 0.4×	161 1.8×	34	729
B. A. McVerry	378 1.2×	123 0.9×	185 1.8×	37 0.4×	65 0.7×	46	786
Peter Waldron	170 0.5×	106 0.8×	146 1.4×	38 0.4×	78 0.8×	30	632
Gianni Binotto	167 0.5×	237 1.8×	134 1.3×	69 0.7×	57 0.6×	34	784
Masahide Yamazaki	350 1.1×	94 0.7×	75 0.7×	29 0.3×	130 1.4×	46	763
Michio Matsuzaki	280 0.9×	129 1.0×	112 1.1×	44 0.4×	71 0.8×	29	579
Maria Gabriella Raimondo	153 0.5×	194 1.4×	68 0.7×	35 0.4×	62 0.7×	32	732
W.Y. Au	297 0.9×	110 0.8×	164 1.6×	34 0.3×	88 1.0×	37	713
Marie‐Paule Chauveheid	204 0.6×	146 1.1×	112 1.1×	28 0.3×	42 0.5×	33	632

Countries citing papers authored by Miho Sakakura

Since Specialization

Citations

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

Fields of papers citing papers by Miho Sakakura

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miho Sakakura

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

All Works

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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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