Koichi Koike

535 citations
14 papers · 439 · h-index 11

Impact in

Papers in

Koichi Koike

14 papers receiving 417 citations

Peers

Koichi Koike
Comparison fields: 5 of 44
  • Pathology and Forensic Medicine 310
  • Dermatology 110
  • Oncology 250
  • Immunology 179
  • Immunology and Allergy 19
Replace Sara Tedoldi with:
Sara Tedoldi United Kingdom
Estela Martínez-Escala Spain
Kuniyoshi Kitoh Japan
Luxia Tu China
Cedith M. Copenhaver United States
Leena Karenko Finland
Shizuo Kojya Japan
H Stein Germany
M. T. Fierro Italy
Youn H. Kim United States
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Citations per field
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Citations per year

Countries citing papers authored by Koichi Koike

Since Specialization
Citations

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

Fields of papers citing papers by Koichi Koike

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 1995163
2 199776
3
Phenotyping of proliferating lymphocytes in angioimmunoblastic lymphadenopathy and related lesions by the double immunoenzymatic staining technique.
198746
4 199327
5 199322
6 200321
7 200517
8 199215
9
Relation of the CD36 gene A52C polymorphism to the risk of colorectal cancer among Japanese, with reference to with the aldehyde dehydrogenase 2 gene Glu487Lys polymorphism and drinking habit.
200514
10 199411
11 198311
12
Epitope analysis of cluster 1 and NK cell-related monoclonal antibodies.
19917
13 19956
14
Mediastinal diffuse large cell lymphoma of B-cell type with azurophilic granules.
19923

About Koichi Koike

Koichi Koike is a scholar working on Pathology and Forensic Medicine, Oncology, Dermatology, Immunology and Molecular Biology, having authored 14 papers that have together received 439 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (8 papers), Cutaneous lymphoproliferative disorders research (4 papers), Viral-associated cancers and disorders (3 papers), Cancer, Lipids, and Metabolism (2 papers), T-cell and Retrovirus Studies (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (310 citations), Dermatology (110 citations), Oncology (250 citations), Immunology (179 citations) and Immunology and Allergy (19 citations). Koichi Koike has collaborated with scholars based in Japan, India and United States. Frequent co-authors include Taizan Suchi, Takashi Koshikawa, Michinori Ogura, Ryuzo Ueda, Takashi Takahashi, Kuniyoshi Kitoh, Hirokazu Komatsu, Shôji Nakamura, Reiko Namikawa and Gen Itoh. Their work appears in journals such as Pathology International, Leukemia Research, Nutrition and Cancer, Cancer and The American Journal of Surgical Pathology.

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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