S Hakomori

10.0k citations
98 papers · 8.2k indexed · h-index 51

Impact in

Papers in

S Hakomori

98 papers receiving 7.7k citations

Peers

S Hakomori
Comparison fields: 5 of 113
  • Immunology and Allergy 618
  • Immunology 2.1k
  • Cell Biology 1.6k
  • Molecular Biology 6.3k
  • Hematology 974
Replace Michiko N. Fukuda with:
Michiko N. Fukuda United States
Kenneth O. Lloyd United States
Edward Nudelman United States
Hisashi Narimatsu Japan
Ian S. Trowbridge United States
Rafaël Oriol France
Ulla Mandel Denmark
Reiji Kannagi Japan
Václav Hořejšı́ Czechia
Charles T. Rauch United States
S Hakomori relative to Michiko N. Fukuda United States Michiko N. Fukuda's profile →
Citations per field
00.5×1.5×
Michiko N. Fukuda · 1×
Citations per year

Countries citing papers authored by S Hakomori

Since Specialization
Citations

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

Fields of papers citing papers by S Hakomori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20146
2 20123
3 200121
4 200019
5 20009
6 199939
7 199699
8 199424
9 199421
10 199330
11 1992102
12 1991104
13 199160
14 199032
15 198940
16 198954
17 198875
18
[Cancer-associated mucin detected by monoclonal anti-carbohydrate antibodies].
19861
19 1979151
20 197314

About S Hakomori

S Hakomori is a scholar working on Immunology and Allergy, Radiology, Nuclear Medicine and Imaging, Immunology, Molecular Biology and Hematology, having authored 98 papers that have together received 8.2k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (74 papers), Monoclonal and Polyclonal Antibodies Research (32 papers), Carbohydrate Chemistry and Synthesis (18 papers), Erythrocyte Function and Pathophysiology (15 papers), Galectins and Cancer Biology (14 papers), Cell Adhesion Molecules Research (11 papers), Blood groups and transfusion (9 papers) and Proteoglycans and glycosaminoglycans research (7 papers). The work is most often cited by research in Immunology and Allergy (618 citations), Immunology (2.1k citations), Cell Biology (1.6k citations), Molecular Biology (6.3k citations) and Hematology (974 citations). S Hakomori has collaborated with scholars based in United States, Japan and South Africa. Frequent co-authors include Minoru Fukuda, Kazuko Handa, Fuqiang Ruan, Yasushi Igarashi, Henrik Clausen, Wakako Murakami, Gustavo A. Nores, Yutaka Yatomi, Kazuhisa Iwabuchi and Eric H. Holmes. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Immunology, Biochemistry, The Journal of Experimental Medicine and International Journal of Oncology.

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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