Y Hamashima

2.2k citations
58 papers · 2.0k · h-index 21

Impact in

Papers in

    • Dermatology and Skin Diseases 3
    • Systemic Lupus Erythematosus Research 6
    • Urticaria and Related Conditions 4

Y Hamashima

55 papers receiving 1.8k citations

Peers

Y Hamashima
Comparison fields: 5 of 95
  • Cardiology and Cardiovascular Medicine 568
  • Immunology 475
  • Hematology 218
  • Rheumatology 255
  • Nephrology 111
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Citations per field
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Citations per year

Countries citing papers authored by Y Hamashima

Since Specialization
Citations

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

Fields of papers citing papers by Y Hamashima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986267
2 1987260
3 1985216
4
Distribution of IgG subclasses in membranous nephropathy.
1984122
5 1984108
6 198794
7 197387
8 198673
9
Suppression of the primary immune response by chemical sympathectomy.
197759
10 198356
11 198750
12 198646
13
Quantitative analysis of myocardial infarction in (NZW x BXSB)F1 hybrid mice with systemic lupus erythematosus and small coronary artery disease.
198744
14 198635
15
Abnormal stem cells in autoimmune-prone mice are responsible for premature thymic involution.
198527
16
Autoimmune abnormalities in a murine model of accelerated senescence.
198925
17 197925
18
The influence of thymic abnormalities on the development of autoimmune diseases.
198523
19 198623
20 198622

About Y Hamashima

Y Hamashima is a scholar working on Dermatology, Rheumatology, Radiology, Nuclear Medicine and Imaging, Immunology and Cardiology and Cardiovascular Medicine, having authored 58 papers that have together received 2.0k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (8 papers), Systemic Lupus Erythematosus Research (6 papers), Cardiomyopathy and Myosin Studies (5 papers), Cardiovascular Function and Risk Factors (4 papers), Diabetes and associated disorders (4 papers), Leprosy Research and Treatment (4 papers), Urticaria and Related Conditions (4 papers) and Dermatology and Skin Diseases (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (568 citations), Immunology (475 citations), Hematology (218 citations), Rheumatology (255 citations) and Nephrology (111 citations). Y Hamashima has collaborated with scholars based in Japan and United States. Frequent co-authors include Hisayoshi Fujiwara, C Kawai, Tomoya Onodera, Dongshuang Wu, Ken�ichi Sekita, Masato Tanaka, M Matsuda, Robert A. Good, Masaru Tanaka and Fukumi Furukawa. Their work appears in journals such as Archives of Dermatological Research, Circulation, Proceedings of the National Academy of Sciences, The Lancet and Journal of Cutaneous Pathology.

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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