J. Iwata

3.8k citations
38 papers · 1.3k indexed · h-index 16

Impact in

  • Physiology top 5%
    • Calcium signaling and nucleotide metabolism
    • Autophagy in Disease and Therapy

Papers in

J. Iwata

36 papers receiving 1.3k citations

Peers

J. Iwata
Comparison fields: 5 of 105
  • Physiology 81
  • Epidemiology 543
  • Cell Biology 180
  • Molecular Biology 630
  • Parasitology 55
Replace M. Pouchelet with:
M. Pouchelet France
Wera Roth Germany
Melissa A. Rosenfeld United States
R Paasivuo Finland
Fügen Ersoy Türkiye
Janine A. Smith United States
Lisa M. Godsel United States
Rick Hoekzema Netherlands
Marc A. Becker Germany
Gertrude Kohn Israel
J. Iwata relative to M. Pouchelet France M. Pouchelet's profile →
Citations per field
00.5×3.3×
M. Pouchelet · 1×
Citations per year

Countries citing papers authored by J. Iwata

Since Specialization
Citations

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

Fields of papers citing papers by J. Iwata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20185
3 20148
4 20138
5 20137
6 20115
7 200774
8 2005186
9 200031
10 199956
11 19995
12 199722
13 199614
14 19969
15 199516
16 199226
17
Establishment and characterization of a new human synovial sarcoma cell line, HS-SY-II.
199276
18 19915
19
Electron microscopic study of suppressive effects on the production of human T-lymphotropic virus type I (HTLV-I)1 with human interferons
19892
20 19884

About J. Iwata

J. Iwata is a scholar working on Agronomy and Crop Science, Condensed Matter Physics, Immunology and Allergy, Immunology and Oral Surgery, having authored 38 papers that have together received 1.3k indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (5 papers), GaN-based semiconductor devices and materials (4 papers), Animal Disease Management and Epidemiology (4 papers), Cancer-related Molecular Pathways (3 papers), Ga2O3 and related materials (3 papers), Cleft Lip and Palate Research (3 papers), Semiconductor materials and devices (3 papers) and Myasthenia Gravis and Thymoma (3 papers). The work is most often cited by research in Physiology (81 citations), Epidemiology (543 citations), Cell Biology (180 citations), Molecular Biology (630 citations) and Parasitology (55 citations). J. Iwata has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Takashi Ueno, Eiki Kominami, Masaaki Komatsu, Keiji Tanaka, Y Ohtsuki, Naoki Sawada, Noboru Mizushima, Yasuo Uchiyama, Yu‐shin Sou and Taichi Hara. Their work appears in journals such as Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, The Journal of Physical Chemistry C, Archives of Virology, physica status solidi (RRL) - Rapid Research Letters and Biological 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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