Keisuke S. Iwamoto

4.5k citations
89 papers · 3.5k indexed · 1 hit paper · h-index 26

Keisuke S. Iwamoto

85 papers receiving 3.4k citations

Hit Papers

Young Dentate Granule Cells Mediate Pattern Separation, w...6372012202620162021200400600

Peers

Keisuke S. Iwamoto
Comparison fields: 5 of 131
  • Developmental Neuroscience 377
  • Oncology 1.1k
  • Immunology 715
  • Radiology, Nuclear Medicine and Imaging 725
  • Radiation 258
Replace Andreas F. Mack with:
Andreas F. Mack Germany
Albert H. Kim United States
Paul E.G. Kristjansen Denmark
Gordon Li United States
Marie‐Christine Guiot Canada
Frank Entschladen Germany
John S. Beech United Kingdom
Bradley J. Beattie United States
Catherine L. Farrell United States
Melanie Hayden Gephart United States
Keisuke S. Iwamoto relative to Andreas F. Mack Germany Andreas F. Mack's profile →
Citations per field
00.5×1.5×2.2×
Andreas F. Mack · 1×
Citations per year

Countries citing papers authored by Keisuke S. Iwamoto

Since Specialization
Citations

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

Fields of papers citing papers by Keisuke S. Iwamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keisuke S. Iwamoto. 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 Keisuke S. Iwamoto. The network helps show where Keisuke S. Iwamoto may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20231
3 20227
4 202029
5 20190
6 201713
7 20173
8 2010341
9 200966
10 200616
11 200499
12 20031
13
A Dose Dependent Increase in the Frequency of p53 Mutations in Hepatocellular Carcinomas of the Atomic Bomb Survivors.
19971
14 199775
15
Gain-of-function p53 mutations enhance alteration of the T-cell receptor following X-irradiation, independently of the cell cycle and cell survival.
199654
16 199579
17 199321
18 199256
19 199216
20 19888

About Keisuke S. Iwamoto

Keisuke S. Iwamoto is a scholar working on Radiation, Microbiology and Radiology, Nuclear Medicine and Imaging, having authored 89 papers that have together received 3.5k indexed citations. Recurring topics across this work include Radiation Therapy and Dosimetry (13 papers), Cancer-related Molecular Pathways (11 papers), Effects of Radiation Exposure (11 papers), Advanced Radiotherapy Techniques (10 papers), DNA Repair Mechanisms (8 papers), Medical Imaging Techniques and Applications (6 papers), Cancer Genomics and Diagnostics (5 papers) and Glioma Diagnosis and Treatment (4 papers). The work is most often cited by research in Developmental Neuroscience (377 citations), Oncology (1.1k citations) and Immunology (715 citations). Keisuke S. Iwamoto has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include William H. McBride, Dörthe Schaue, Josephine A. Ratikan, Yu‐Pei Liao, Amos Norman, Toshio Seyama, Milena Pervan, James S. Economou, Jesse D. Cushman and Toshiaki Nakashiba. Their work appears in journals such as Cell, Immunity and The Journal of Immunology.

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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