Hitoshi Iwata

1.1k citations
73 papers · 786 indexed · h-index 15
Topics
Carcinogens and Genotoxicity Assessment (8 papers)Cancer Treatment and Pharmacology (7 papers)HER2/EGFR in Cancer Research (5 papers)
Partner nations
JapanUnited StatesFrance

In The Last Decade

Hitoshi Iwata

68 papers receiving 753 citations

Peers

Hitoshi Iwata
Comparison fields: 5 of 107
  • Molecular Biology 202
  • Oncology 183
  • Cancer Research 163
  • Pulmonary and Respiratory Medicine 144
  • Surgery 143
Replace Michael A. Pereira with:
Michael A. Pereira United States
Eliana Guerriero Italy
Kenji Niwa Japan
Paul R. Harrison United Kingdom
J. K. Kundu South Korea
César Aliaga United States
Joohee Jung South Korea
Kousuke Saoo Japan
Takamitsu Morioka Japan
Tariq A. Bhat India
Hitoshi Iwata relative to Michael A. Pereira United States Michael A. Pereira's profile →
Citations per field
00.5×1.5×
Michael A. Pereira · 1×
Citations per year

Countries citing papers authored by Hitoshi Iwata

Since Specialization
Citations

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

Fields of papers citing papers by Hitoshi Iwata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hitoshi Iwata

This figure shows the co-authorship network connecting the top 25 collaborators of Hitoshi Iwata. A scholar is included among the top collaborators of Hitoshi Iwata 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 Hitoshi Iwata. Hitoshi Iwata 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
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2 50
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8
KLF5阻害剤,Am80はレプチン欠失(ob/ob)マウスにおける脂肪組織増殖と脂肪肝を減少させる
3
9 17
10 2
11 1
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Sequential analysis of mucosal lesions of the gastric stump in the rat
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14 10
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[Pulmonary tuberculosis and mycotic infection--clinical and serological diagnosis].
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18 14
19 54
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About Hitoshi Iwata

Hitoshi Iwata is a scholar working on Cancer Research, Oncology and Surgery, having authored 73 papers that have together received 786 indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (8 papers), Cancer Treatment and Pharmacology (7 papers) and HER2/EGFR in Cancer Research (5 papers). The work is most often cited by research in Cancer Research (163 citations), Toxicology (29 citations) and Biochemistry (42 citations). Hitoshi Iwata has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Naoki Yoshimi, Takuji Tanaka, Hideki Mori, Yoshio Mori, Shigeyuki Sugie, Kenji Niwa, Hideki Mori, Akiyoshi Nishikawa, Kiyohiko Kawai and Masae Tatematsu. Their work appears in journals such as Circulation, JNCI Journal of the National Cancer Institute and The Journal of Infectious Diseases.

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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