Walter Imagawa

2.1k citations
41 papers · 1.8k indexed · h-index 25

Impact in

  • Oncology top 5%
    • Cancer Cells and Metastasis
  • Genetics top 5%
    • Estrogen and related hormone effects
    • Animal Genetics and Reproduction
    • Digestive system and related health

Papers in

Walter Imagawa

41 papers receiving 1.7k citations

Peers

Walter Imagawa
Comparison fields: 5 of 91
  • Oncology 609
  • Genetics 566
  • Endocrinology, Diabetes and Metabolism 275
  • Cancer Research 224
  • Biochemistry 94
Replace Karin Williams with:
Karin Williams United Kingdom
Karen G. Nelson United States
Eeva Valve Finland
Richard A. Knazek United States
Azriel Schmidt United States
Elizabeth P. Newberry United States
Toshifumi Takahashi Japan
Jan‐Wilhelm Kornfeld Germany
Lars-Arne Haldosén Sweden
Claudio J. Conti United States
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Citations per field
00.5×5.9×
Karin Williams · 1×
Citations per year

Countries citing papers authored by Walter Imagawa

Since Specialization
Citations

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

Fields of papers citing papers by Walter Imagawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201244
2 200268
3 20019
4 20006
5 200017
6 200024
7 199816
8 199632
9 199514
10 199517
11 19954
12 199413
13 199444
14 199345
15 198925
16 19894
17 198835
18 198817
19 198653
20 198418

About Walter Imagawa

Walter Imagawa is a scholar working on Oncology, Endocrinology, Diabetes and Metabolism, Biochemistry, Cancer Research and Genetics, having authored 41 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (15 papers), Fibroblast Growth Factor Research (9 papers), Cancer, Hypoxia, and Metabolism (6 papers), Growth Hormone and Insulin-like Growth Factors (6 papers), Estrogen and related hormone effects (5 papers), Wnt/β-catenin signaling in development and cancer (5 papers), Tissue Engineering and Regenerative Medicine (4 papers) and PI3K/AKT/mTOR signaling in cancer (4 papers). The work is most often cited by research in Oncology (609 citations), Genetics (566 citations), Endocrinology, Diabetes and Metabolism (275 citations), Cancer Research (224 citations) and Biochemistry (94 citations). Walter Imagawa has collaborated with scholars based in United States. Frequent co-authors include S. Nandi, Satyabrata Nandi, Gautam Bandyopadhyay, Yasuhiro Tomooka, Jason Yang, James Richards, Raphaël Guzman, Lisa Larson, Susan Hamamoto and Vadim Pedchenko. Their work appears in journals such as Endocrinology, Journal of Cellular Physiology, Prostaglandins Leukotrienes and Essential Fatty Acids, Proceedings of the National Academy of Sciences and Journal of 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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