Sen‐itiroh Hakomori

51.0k citations
493 papers · 42.9k · 15 hit papers · h-index 110

Impact in

Papers in

Sen‐itiroh Hakomori

490 papers receiving 40.4k citations

Sen‐itiroh Hakomori's Hit Papers

Glycosylation defining cancer malignancy: New wine in an old bottle 2002 · 836 citations
8360+18+36Years since publication4008001.2k

Peers

Sen‐itiroh Hakomori
Comparison fields: 5 of 147
  • Immunology and Allergy 3.4k
  • Immunology 10.3k
  • Molecular Biology 33.4k
  • Cell Biology 7.0k
  • Radiology, Nuclear Medicine and Imaging 7.4k
Replace Ettore Appella with:
Ettore Appella United States
Minoru Fukuda Japan
Donald Küfe United States
Meenhard Herlyn United States
Brian Seed United States
Richard D. Klausner United States
Jeffrey D. Esko United States
Ira Mellman United States
Ten Feizi United Kingdom
Stuart Kornfeld United States
Sen‐itiroh Hakomori relative to Ettore Appella United States Ettore Appella's profile →
Citations per field
00.5×1.5×1.8×
Ettore Appella · 1×
Citations per year

Countries citing papers authored by Sen‐itiroh Hakomori

Since Specialization
Citations

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

Fields of papers citing papers by Sen‐itiroh Hakomori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 493 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Glycosphingolipids in Cellular Interaction, Differentiation, and Oncogenesis
Hit paper breakdown →
19811448
2
ELAM-1 Mediates Cell Adhesion by Recognition of a Carbohydrate Ligand, Sialyl-Le x
Hit paper breakdown →
19901132
3
Aberrant Glycosylation In Tumors And Tumor-Associated Carbohydrate Antigens
Hit paper breakdown →
1989939
4
Tumor malignancy defined by aberrant glycosylation and sphingo(glyco)lipid metabolism.
Hit paper breakdown →
1996864
5
Glycosylation defining cancer malignancy: New wine in an old bottle
Hit paper breakdown →
2002836
6
Bifunctional role of glycosphingolipids. Modulators for transmembrane signaling and mediators for cellular interactions.
Hit paper breakdown →
1990787
7
Determination of aminosugar linkages in glycolipids by methylation
Hit paper breakdown →
1973762
8
Aberrant glycosylation in cancer cell membranes as focused on glycolipids: overview and perspectives.
Hit paper breakdown →
1985703
9
Cell-type-specific markers for distinguishing and studying neurons and the major classes of glial cells in culture
Hit paper breakdown →
1979691
10
Ganglioside-mediated modulation of cell growth. Specific effects of GM3 on tyrosine phosphorylation of the epidermal growth factor receptor.
Hit paper breakdown →
1986636
11
External Labeling of Cell Surface Galactose and Galactosamine in Glycolipid and Glycoprotein of Human Erythrocytes
Hit paper breakdown →
1973622
12
Tumor-Associated Carbohydrate Antigens
Hit paper breakdown →
1984520
13
Glycosphingolipids as Tumor-Associated and Differentiation Markers<xref ref-type="fn" rid="FN5">5</xref><xref ref-type="fn" rid="FN6">6</xref>
Hit paper breakdown →
1983496
14
Quantitative isolation of total glycosphingolipids from animal cells
Hit paper breakdown →
1971486
15
Characterization of sialosylated Lewisx as a new tumor-associated antigen.
1984439
16
A Sphingolipid Having a Novel Type of Ceramide and Lacto-N-Fucopentaose III
Hit paper breakdown →
1971434
17 1989410
18 2002410
19 1989385
20 2001375

About Sen‐itiroh Hakomori

Sen‐itiroh Hakomori is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology, Organic Chemistry and Cell Biology, having authored 493 papers that have together received 42.9k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (349 papers), Monoclonal and Polyclonal Antibodies Research (115 papers), Carbohydrate Chemistry and Synthesis (107 papers), Galectins and Cancer Biology (66 papers), Erythrocyte Function and Pathophysiology (63 papers), Sphingolipid Metabolism and Signaling (51 papers), Blood groups and transfusion (46 papers) and Cell Adhesion Molecules Research (46 papers). The work is most often cited by research in Immunology and Allergy (3.4k citations), Immunology (10.3k citations), Molecular Biology (33.4k citations), Cell Biology (7.0k citations) and Radiology, Nuclear Medicine and Imaging (7.4k citations). Sen‐itiroh Hakomori has collaborated with scholars based in United States, Japan and Denmark. Frequent co-authors include Edward Nudelman, Kazuko Handa, Reiji Kannagi, Steven B. Levery, Carl G. Gahmberg, Yasuyuki Igarashi, Henrik Clausen, William W. Young, Klaus Stellner and Anil Singhal. Their work appears in journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, Biochemistry, Proceedings of the National Academy of Sciences and FEBS Letters.

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.

Explore authors with similar magnitude of impact