M. KISO

595 citations
13 papers · 523 · h-index 10

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 9
    • Lipid Membrane Structure and Behavior 2
    • RNA Interference and Gene Delivery 2
    • Carbohydrate Chemistry and Synthesis 5

M. KISO

13 papers receiving 511 citations

Peers

M. KISO
Comparison fields: 5 of 67
  • Immunology and Allergy 80
  • Immunology 147
  • Cell Biology 105
  • Molecular Biology 408
  • Organic Chemistry 162
Replace Makoto Kiso with:
Makoto Kiso Japan
Stephen M. Manzella United States
Anne K. Kristensen Denmark
Barry Potvin United States
Judith A. Swack United States
M. Aubery France
R G Spiro United States
Dustin C. Frost United States
Shigeko Kijimoto‐Ochiai Japan
Maurice S. Brozzo Switzerland
M. KISO relative to Makoto Kiso Japan Makoto Kiso's profile →
Citations per field
00.5×3.7×
Makoto Kiso · 1×
Citations per year

Countries citing papers authored by M. KISO

Since Specialization
Citations

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

Fields of papers citing papers by M. KISO

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 1993159
2 1992125
3 200684
4 199232
5 200229
6 200023
7 201120
8 199817
9 199416
10
Antitumor and antimicrobial activities of lipid A-subunit analogue GLA-27.
198812
11 19922
12
Non-specific protective activity of synthetic lipid A-subunit analogs against microbial infections is influenced by their 2-N- and 3-O-linked acyl substituents in the D-glucosamine backbone.
19902
13 19802

About M. KISO

M. KISO is a scholar working on Molecular Biology, Organic Chemistry, Immunology, Pharmacology and Epidemiology, having authored 13 papers that have together received 523 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (9 papers), Carbohydrate Chemistry and Synthesis (5 papers), Immune Response and Inflammation (3 papers), Lipid Membrane Structure and Behavior (2 papers), Cell Adhesion Molecules Research (2 papers), RNA Interference and Gene Delivery (2 papers), Influenza Virus Research Studies (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Immunology and Allergy (80 citations), Immunology (147 citations), Cell Biology (105 citations), Molecular Biology (408 citations) and Organic Chemistry (162 citations). M. KISO has collaborated with scholars based in Japan, Germany and United Kingdom. Frequent co-authors include Akira Hasegawa, Pandurang V. Nikrad, Brian K. Brandley, Carrol Foxall, Tomohisa Ogawa, Kentaro Hanada, Y Akamatsu, Masahiro Nishijima, Ayaka Hasegawa and María Asunción Campanero‐Rhodes. Their work appears in journals such as Biochemical and Biophysical Research Communications, Glycobiology, Journal of Biological Chemistry, Current Medicinal Chemistry and The Journal of Biochemistry.

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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