Seiichi Wada

50 papers receiving 1.2k citations

Peers

Seiichi Wada
Comparison fields: 5 of 102
  • Aging 41
  • Radiology, Nuclear Medicine and Imaging 411
  • Ecology, Evolution, Behavior and Systematics 306
  • Pulmonary and Respiratory Medicine 478
  • Radiation 112
Replace Tetsuya Sakashita with:
Tetsuya Sakashita Japan
Tomoo Funayama Japan
Megumi Hada United States
Fumio Yatagai Japan
Alysia D. Vrailas‐Mortimer United States
Paula V. Bennett United States
Maria Antonella Tabocchini Italy
Yoshinori Hirano Japan
Thomas B. Pool United States
D. P. Morrison Canada
Seiichi Wada relative to Tetsuya Sakashita Japan Tetsuya Sakashita's profile →
Citations per field
00.5×1.5×
Tetsuya Sakashita · 1×
Citations per year

Countries citing papers authored by Seiichi Wada

Since Specialization
Citations

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

Fields of papers citing papers by Seiichi Wada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006139
2 2003123
3 2008106
4 200668
5 200958
6 200850
7 200744
8 200644
9 200638
10 200333
11 200532
12 200732
13 200530
14 200427
15 200825
16 200724
17 201524
18 200324
19 200623
20 200323

About Seiichi Wada

Seiichi Wada is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Plant Science and Physiology, having authored 52 papers that have together received 1.2k indexed citations. Recurring topics across this work include Effects of Radiation Exposure (16 papers), Radiation Therapy and Dosimetry (15 papers), Plant Genetic and Mutation Studies (13 papers), Spaceflight effects on biology (10 papers), Biocrusts and Microbial Ecology (6 papers), Tardigrade Biology and Ecology (6 papers), Carcinogens and Genotoxicity Assessment (6 papers) and DNA Repair Mechanisms (5 papers). The work is most often cited by research in Aging (41 citations), Radiology, Nuclear Medicine and Imaging (411 citations), Ecology, Evolution, Behavior and Systematics (306 citations), Pulmonary and Respiratory Medicine (478 citations) and Radiation (112 citations). Seiichi Wada has collaborated with scholars based in Japan, Russia and South Korea. Frequent co-authors include Yasuhiko Kobayashi, Tomoo Funayama, Nobuyuki Hamada, Tetsuya Sakashita, Yoshiya Furusawa, Takehiko Kakizaki, Daiki D. Horikawa, Yuichi Nakahara, Takashi Okuda and Masahiko Watanabe. Their work appears in journals such as Journal of Radiation Research, International Journal of Radiation Biology, Radiation Research, PLoS ONE and Astrobiology.

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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