Jun Sawada

666 citations
28 papers · 546 · h-index 16

Impact in

    • Embedded Systems Design Techniques
    • Parallel Computing and Optimization Techniques
    • VLSI and Analog Circuit Testing
  • Software top 5%
    • Software Testing and Debugging Techniques

Papers in

Jun Sawada

27 papers receiving 521 citations

Peers

Jun Sawada
Comparison fields: 5 of 79
  • Hardware and Architecture 175
  • Software 66
  • Computational Theory and Mathematics 232
  • Pharmacology 25
  • Artificial Intelligence 91
Replace Changshun Wu with:
Changshun Wu China
Mathias Röhl Germany
Jianping Wu China
Robert M. Johnson United States
N. D. Jones Austria
Qiaobo Ye China
S. H. Yen Taiwan
Haiming Chen China
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Citations per field
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Citations per year

Countries citing papers authored by Jun Sawada

Since Specialization
Citations

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

Fields of papers citing papers by Jun Sawada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun Sawada, 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 Jun Sawada Line = papers co-authored together Jun Sawada links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199877
2 199752
3 199447
4
Retinoblastoma binding factor 1 site in the core promoter region of the human RB gene is activated by hGABP/E4TF1.
199731
5
Formal verification of an advanced pipelined machine
199927
6 200727
7 200024
8 200323
9 200023
10 200222
11 200519
12 199919
13 199418
14 199418
15 199717
16 200216
17 199914
18 200714
19
Activation of the retinoblastoma gene expression by Bcl-3: implication for muscle cell differentiation.
199613
20 199813

About Jun Sawada

Jun Sawada is a scholar working on Hardware and Architecture, Computational Theory and Mathematics, Pharmacology, Biochemistry and Oncology, having authored 28 papers that have together received 546 indexed citations. Recurring topics across this work include Formal Methods in Verification (11 papers), Embedded Systems Design Techniques (8 papers), Security and Verification in Computing (3 papers), Parallel Computing and Optimization Techniques (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), Real-Time Systems Scheduling (2 papers), Numerical Methods and Algorithms (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Hardware and Architecture (175 citations), Software (66 citations), Computational Theory and Mathematics (232 citations), Pharmacology (25 citations) and Artificial Intelligence (91 citations). Jun Sawada has collaborated with scholars based in Japan, United States and Israel. Frequent co-authors include Warren A. Hunt, Hiroshi Handa, Masahide Goto, Reiko Teshima, Keiko Maekawa, Chika Sawa, Hidenori Watanabe, Shuichi Ozawa, Hideharu Ikebuchi and Donald S. Fussell. Their work appears in journals such as Xenobiotica, Biochemical Journal, Bone Marrow Transplantation, Molecular and Cellular Endocrinology and Annals of Human Genetics.

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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