Maki Kitano

550 citations
8 papers · 225 indexed · h-index 7

Impact in

    • Venous Thromboembolism Diagnosis and Management
  • Hematology top 10%
    • Blood Coagulation and Thrombosis Mechanisms
    • Platelet Disorders and Treatments

Papers in

    • Phagocytosis and Immune Regulation 2
    • Immune cells in cancer 2
    • interferon and immune responses 1
    • Blood Coagulation and Thrombosis Mechanisms 2

Maki Kitano

8 papers receiving 218 citations

Peers

Maki Kitano
Comparison fields: 5 of 52
  • Internal Medicine 35
  • Hematology 71
  • Immunology 64
  • Cancer Research 41
  • Genetics 28
Replace Michele M. Mumaw with:
Michele M. Mumaw United States
Chaozeng Si China
Viktoria Kalna United Kingdom
Giacomo Tuana Italy
Jiadai Xu China
Pasquale L. Fedele Australia
L. Seymour South Africa
L A MacPhail United States
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Maki Kitano relative to Michele M. Mumaw United States Michele M. Mumaw's profile →
Citations per field
00.5×3.4×
Michele M. Mumaw · 1×
Citations per year

Countries citing papers authored by Maki Kitano

Since Specialization
Citations

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

Fields of papers citing papers by Maki Kitano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 20246
2 202011
3 201994
4 201829
5 20181
6 201350
7
Antigenic differences between leukemia L1210 and a subline resistant to methylglyoxal-bis(guanylhydrazone).
197220
8
Differences in the immunogenicity of leukemia L1210 sublines in DBA-2 mice.
197114

About Maki Kitano

Maki Kitano is a scholar working on Immunology, Hematology, Biochemistry, Obstetrics and Gynecology and Neurology, having authored 8 papers that have together received 225 indexed citations. Recurring topics across this work include Phagocytosis and Immune Regulation (2 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers), Immune cells in cancer (2 papers), Amino Acid Enzymes and Metabolism (1 paper), Pregnancy and preeclampsia studies (1 paper), interferon and immune responses (1 paper), Retinal Development and Disorders (1 paper) and Retinoids in leukemia and cellular processes (1 paper). The work is most often cited by research in Internal Medicine (35 citations), Hematology (71 citations), Immunology (64 citations), Cancer Research (41 citations) and Genetics (28 citations). Maki Kitano has collaborated with scholars based in United States, Germany and Ireland. Frequent co-authors include Wolfram Ruf, Enrico Mihich, Hartmut Weiler, Sabine Reyda, Petra Wilgenbus, Claudine Graf, Stephan Macher-Göppinger, Fédérico Marini, David Pressman and Charles T. Esmon. Their work appears in journals such as Cell Metabolism, Blood Advances, Glia, Science Immunology and PLoS ONE.

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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