Kunio Kitamura

6.2k citations
92 papers · 3.4k · h-index 32

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 11
    • Retinoids in leukemia and cellular processes 10
    • Acute Myeloid Leukemia Research 16
    • Chronic Myeloid Leukemia Treatments 8

Kunio Kitamura

90 papers receiving 3.3k citations

Peers

Kunio Kitamura
Comparison fields: 5 of 102
  • Developmental Neuroscience 180
  • Hematology 468
  • Molecular Biology 2.0k
  • Cellular and Molecular Neuroscience 526
  • Sensory Systems 100
Replace Melissa C. Colbert with:
Melissa C. Colbert United States
Christian Grimm Switzerland
Michael R. Bösl Germany
Tom Glaser United States
M. Graziella Persico Italy
Denis Monard Switzerland
Béatrice Durand France
Junko Kuno Japan
Baoli Yang United States
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Citations per field
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Citations per year

Countries citing papers authored by Kunio Kitamura

Since Specialization
Citations

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

Fields of papers citing papers by Kunio Kitamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999382
2
Accelerated degradation of PML-retinoic acid receptor alpha (PML-RARA) oncoprotein by all-trans-retinoic acid in acute promyelocytic leukemia: possible role of the proteasome pathway.
1996193
3 1997155
4 1997148
5 1976135
6 1997117
7 2005109
8 1980106
9 201293
10 200592
11 199688
12 200073
13 200670
14 200569
15 200969
16 201065
17 200663
18 199257
19 201355
20 198252

About Kunio Kitamura

Kunio Kitamura is a scholar working on Molecular Biology, Hematology, Genetics, Cellular and Molecular Neuroscience and Cell Biology, having authored 92 papers that have together received 3.4k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (16 papers), Glycosylation and Glycoproteins Research (11 papers), Retinoids in leukemia and cellular processes (10 papers), Lymphoma Diagnosis and Treatment (9 papers), Chronic Lymphocytic Leukemia Research (9 papers), Chronic Myeloid Leukemia Treatments (8 papers), Cell Adhesion Molecules Research (8 papers) and Neurogenesis and neuroplasticity mechanisms (7 papers). The work is most often cited by research in Developmental Neuroscience (180 citations), Hematology (468 citations), Molecular Biology (2.0k citations), Cellular and Molecular Neuroscience (526 citations) and Sensory Systems (100 citations). Kunio Kitamura has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Keiichi Uyemura, Masaru Suzuki, Masako Yanazawa, Tomoki Naoe, Kentaro Kato, Hirohito Miura, Ryuzo Ohno, Yûkô Fukui, Akemi Suzuki and Hitoshi Kiyoi. Their work appears in journals such as Blood, Development, Neurochemical Research, Journal of Neurochemistry 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.

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