Hiroshi Tezuka

2.3k citations
42 papers · 797 indexed · h-index 18
Topics
T-cell and B-cell Immunology (12 papers)Parallel Computing and Optimization Techniques (11 papers)Advanced Data Storage Technologies (10 papers)
Partner nations
JapanChina

In The Last Decade

Hiroshi Tezuka

39 papers receiving 749 citations

Peers

Hiroshi Tezuka
Comparison fields: 5 of 88
  • Immunology 263
  • Computer Networks and Communications 256
  • Hardware and Architecture 205
  • Endocrinology, Diabetes and Metabolism 128
  • Molecular Biology 111
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Citations per field
00.5×1.6×
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Citations per year

Countries citing papers authored by Hiroshi Tezuka

Since Specialization
Citations

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

Fields of papers citing papers by Hiroshi Tezuka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroshi Tezuka

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroshi Tezuka. A scholar is included among the top collaborators of Hiroshi Tezuka 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 Hiroshi Tezuka. Hiroshi Tezuka 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
#WorkIndexed citations
1 23
2 0
3 8
4 23
5 22
6
Design and Implementation of Metalevel Architecture in C++ -- MPC++ Approach --
21
7
Implementing MPI in a High - Performance Multithreaded Language MPC++
1
8
Simple continuous media storage server on real-time mach
11
9 33
10 4
11
A Fast /tmp File System by Delay Mount Option.
7
12
Phenotypic characterization of lymphocytes infiltrating synovial tissue from patients with rheumatoid arthritis: analysis of lymphocytes isolated from minced synovial tissue by dual immunofluorescent staining.
34
13
[A case of alternating Tolosa-Hunt syndrome].
3
14 9
15 59
16 4
17 34
18 14
19 16
20
DOUBLE PYLORUS COMPLICATED WITH SYSTEMIC LUPUS ERYTHEMATOSUS : REPORT OF A CASE
1

About Hiroshi Tezuka

Hiroshi Tezuka is a scholar working on Hardware and Architecture, Computer Networks and Communications and Immunology, having authored 42 papers that have together received 797 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (12 papers), Parallel Computing and Optimization Techniques (11 papers) and Advanced Data Storage Technologies (10 papers). The work is most often cited by research in Hardware and Architecture (205 citations), Immunology (263 citations) and Computer Networks and Communications (256 citations). Hiroshi Tezuka has collaborated with scholars based in Japan and China. Frequent co-authors include Yutaka Ishikawa, Atsushi Hori, C Shimomura, Mayumi Matsunaga, Yukitaka Ueki, Katsumi Eguchi, Tatsuo Nakajima, Naofumi Ishikawa, Hideto Nakao and Shigenobu Nagataki. Their work appears in journals such as The Journal of Immunology, The Journal of Clinical Endocrinology & Metabolism and European Journal of Endocrinology.

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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