Toshio Kitamura

36.7k citations
349 papers · 23.3k · 11 hit papers · h-index 76

Impact in

  • Immunology top 0.05%
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
  • Hematology top 0.1%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments

Papers in

    • Protein Degradation and Inhibitors 19
    • Immune Cell Function and Interaction 66
    • Immune Response and Inflammation 33
    • T-cell and B-cell Immunology 30
    • Immunotherapy and Immune Responses 20
    • Mast cells and histamine 18

Toshio Kitamura

341 papers receiving 22.8k citations

Toshio Kitamura's Hit Papers

Identification of Tim4 as a phosphatidylserine receptor 2007 · 912 citations
9120+12+24Years since publication4008001.2k

Peers

Toshio Kitamura
Comparison fields: 5 of 156
  • Immunology 9.4k
  • Hematology 3.7k
  • Genetics 2.2k
  • Oncology 5.1k
  • Immunology and Allergy 1.0k
Replace E. Richard Stanley with:
E. Richard Stanley United States
Nicos A. Nicola Australia
Malcolm A.S. Moore United States
Donald Metcalf Australia
Akihiko Yoshimura Japan
Frédéric J. de Sauvage United States
C Peschle Italy
Hal E. Broxmeyer United States
Federico Bussolino Italy
Victor L. J. Tybulewicz United Kingdom
Toshio Kitamura relative to E. Richard Stanley United States E. Richard Stanley's profile →
Citations per field
00.5×1.5×1.8×
E. Richard Stanley · 1×
Citations per year

Countries citing papers authored by Toshio Kitamura

Since Specialization
Citations

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

Fields of papers citing papers by Toshio Kitamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 349 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Plat-E: an efficient and stable system for transient packaging of retroviruses
Hit paper breakdown →
20001412
2
Identification of Tim4 as a phosphatidylserine receptor
Hit paper breakdown →
2007912
3
Essential role of MD-2 in LPS responsiveness and TLR4 distribution
Hit paper breakdown →
2002836
4
Establishment and characterization of a unique human cell line that proliferates dependently on GM‐CSF, IL‐3, or erythropoietin
Hit paper breakdown →
1989742
5
Retrovirus-mediated gene transfer and expression cloning: powerful tools in functional genomics
Hit paper breakdown →
2003591
6
Molecular cloning of a second subunit of the receptor for human granulocyte-macrophage colony-stimulating factor (GM-CSF): reconstitution of a high-affinity GM-CSF receptor.
Hit paper breakdown →
1990572
7
Retrovirus-mediated gene transfer and expression cloning: powerful tools in functional genomics
Hit paper breakdown →
2003560
8
Expression cloning of the human IL-3 receptor cDNA reveals a shared β subunit for the human IL-3 and GM-CSF receptors
Hit paper breakdown →
1991538
9
DNAM-1, A Novel Adhesion Molecule Involved in the Cytolytic Function of T Lymphocytes
Hit paper breakdown →
1996521
10
Cytokine Receptors and Signal Transduction
Hit paper breakdown →
1992518
11
Human Placenta‐Derived Cells Have Mesenchymal Stem/Progenitor Cell Potential
Hit paper breakdown →
2004502
12 2000466
13 1996385
14 1998364
15 2005363
16 1992320
17
Applications of retrovirus-mediated expression cloning.
1996315
18 2000268
19 2001264
20 2013248

About Toshio Kitamura

Toshio Kitamura is a scholar working on Molecular Biology, Immunology, Hematology, Oncology and Plant Science, having authored 349 papers that have together received 23.3k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (68 papers), Immune Cell Function and Interaction (66 papers), Cytokine Signaling Pathways and Interactions (43 papers), Immune Response and Inflammation (33 papers), T-cell and B-cell Immunology (30 papers), Immunotherapy and Immune Responses (20 papers), Protein Degradation and Inhibitors (19 papers) and Mast cells and histamine (18 papers). The work is most often cited by research in Immunology (9.4k citations), Hematology (3.7k citations), Genetics (2.2k citations), Oncology (5.1k citations) and Immunology and Allergy (1.0k citations). Toshio Kitamura has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Atsushi Miyajima, T Kojima, S. Morita, Tetsuya Nosaka, Hideaki Nakajima, Toshihiko Oki, Takashi Yokota, Hidetoshi Kumagai, Fumi Shibata and Alice Mui. Their work appears in journals such as Blood, Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, Experimental Hematology and Leukemia.

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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