Masayuki Haramura

834 citations
44 papers · 620 indexed · h-index 11

Masayuki Haramura

42 papers receiving 600 citations

Peers

Masayuki Haramura
Comparison fields: 5 of 98
  • Pathology and Forensic Medicine 225
  • Neurology 167
  • Biochemistry 60
  • Clinical Biochemistry 35
  • Hematology 52
Replace Federica Chiara with:
Federica Chiara Italy
Christopher Yea United Kingdom
Ana Isabel Hernández Spain
Jennifer C. Byrne Ireland
Miki Hiraoka Japan
Abdullah Haj‐Yehia Israel
John Connelly United States
Arumugam Muruganandam Canada
David P. Hesson United States
Piet Habbel Germany
Masayuki Haramura relative to Federica Chiara Italy Federica Chiara's profile →
Citations per field
00.5×3.5×
Federica Chiara · 1×
Citations per year

Countries citing papers authored by Masayuki Haramura

Since Specialization
Citations

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

Fields of papers citing papers by Masayuki Haramura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Masayuki Haramura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Masayuki Haramura Line = papers co-authored together Masayuki Haramura links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202113
2
Efficacy of Satralizumab (SA237) in Subgroups of Patients in SakuraSky: A Phase III Double-Blind, Placebo-Controlled, Add-On Study in Patients with Neuromyelitis Optica Spectrum Disorder (NMOSD)
20201
3 20153
4 201112
5 20105
6 20094
7 200812
8 20078
9 20061
10 200519
11 20057
12 200410
13 20045
14 20049
15 2004113
16 20032
17 20024
18 200116
19 20007
20 19995

About Masayuki Haramura

Masayuki Haramura is a scholar working on Hematology, Genetics and Biochemistry, having authored 44 papers that have together received 620 indexed citations. Recurring topics across this work include Blood Coagulation and Thrombosis Mechanisms (8 papers), Hemophilia Treatment and Research (7 papers), Multiple Sclerosis Research Studies (6 papers), Peripheral Neuropathies and Disorders (5 papers), Peptidase Inhibition and Analysis (4 papers), Advanced Proteomics Techniques and Applications (4 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (4 papers) and Signaling Pathways in Disease (4 papers). The work is most often cited by research in Pathology and Forensic Medicine (225 citations), Neurology (167 citations) and Biochemistry (60 citations). Masayuki Haramura has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Kazuo Fujihara, Takashi Yamamura, Ingo Kleiter, J. de Sèze, Jeffrey L. Bennett, Brian G. Weinshenker, Akito Tanaka, Preethi S. Ganapathy, Malliga E. Ganapathy and Seiji Miyauchi. Their work appears in journals such as Neurology, Biochemical and Biophysical Research Communications and Journal of Medicinal Chemistry.

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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