Kouji Oka

907 total citations
18 papers, 727 citations indexed

About

Kouji Oka is a scholar working on Pathology and Forensic Medicine, Oncology and Genetics. According to data from OpenAlex, Kouji Oka has authored 18 papers receiving a total of 727 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Pathology and Forensic Medicine, 11 papers in Oncology and 4 papers in Genetics. Recurrent topics in Kouji Oka's work include Lymphoma Diagnosis and Treatment (14 papers), Viral-associated cancers and disorders (7 papers) and Chronic Lymphocytic Leukemia Research (4 papers). Kouji Oka is often cited by papers focused on Lymphoma Diagnosis and Treatment (14 papers), Viral-associated cancers and disorders (7 papers) and Chronic Lymphocytic Leukemia Research (4 papers). Kouji Oka collaborates with scholars based in Japan and Greece. Kouji Oka's co-authors include Motoko Yamaguchi, Toshiyuki Ohno, Kenkichi Kita, Kazuhiro Nishii, Hiroshi Miwa, Shigeru Shirakawa, Hiroshi Shiku, Manabu Fukumoto, Masanori Taniguchi and Kazunori Nakase and has published in prestigious journals such as Blood, Cancer and British Journal of Haematology.

In The Last Decade

Kouji Oka

17 papers receiving 707 citations

Peers

Kouji Oka
Comparison fields: 5 of 42
  • Pathology and Forensic Medicine 545
  • Oncology 433
  • Immunology 228
  • Genetics 152
  • Epidemiology 109
Replace T. Al Saati with:
T. Al Saati France
Aneal S. Masih United States
Jeffrey A. Schrager United States
S. Kindl Italy
Cosimo G. Sciotto United States
B. Gahn Germany
RF Ambinder United States
A Horstman Netherlands
Keisuke Kawamoto Japan
ME Kadin United States
T. Al Saati France View profile →
Citations per field, relative to Kouji Oka
Kouji Oka · 1×
Citations per year, relative to Kouji Oka
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Countries citing papers authored by Kouji Oka

Since Specialization
Citations

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

Fields of papers citing papers by Kouji Oka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kouji Oka

This figure shows the co-authorship network connecting the top 25 collaborators of Kouji Oka. A scholar is included among the top collaborators of Kouji Oka based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kouji Oka. Kouji Oka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
# Work Indexed citations
1 1
2 95
3 7
4 1
5 15
6 41
7 57
8 15
9 17
10 75
11 18
12
Poor correlation between clonal immunoglobulin gene rearrangement and immunoglobulin gene transcription in Hodgkin's disease.
20
13
Expression of perforin in nasal lymphoma. Additional evidence of its natural killer cell derivation.
39
14 231
15
Frequent expression of CD3 epsilon in CD3 (Leu 4)-negative nasal T-cell lymphomas.
20
16 59
17
Gamma/delta T-cell lymphoma with hepatosplenomegaly: report of a case.
16
18 0

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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