Atsuo Mikata

2.5k citations
114 papers · 1.9k indexed · h-index 20
Topics
Lymphoma Diagnosis and Treatment (48 papers)Chronic Lymphocytic Leukemia Research (17 papers)Viral-associated cancers and disorders (14 papers)

In The Last Decade

Atsuo Mikata

109 papers receiving 1.8k citations

Peers

Atsuo Mikata
Comparison fields: 5 of 85
  • Pathology and Forensic Medicine 962
  • Oncology 698
  • Pulmonary and Respiratory Medicine 422
  • Surgery 319
  • Neurology 319
Replace J. A. M. van Unnik with:
J. A. M. van Unnik Netherlands
AJ Norton United Kingdom
Michael Dictor Sweden
Marco Fizzotti Italy
A S Krajewski United Kingdom
Antoine de Mascarel France
Dennis H. Wright United Kingdom
Leonardo Flenghi Italy
J. Bosq France
K Aozasa Japan
Atsuo Mikata relative to J. A. M. van Unnik Netherlands J. A. M. van Unnik's profile →
Citations per field
00.5×3.9×
J. A. M. van Unnik · 1×
Citations per year

Countries citing papers authored by Atsuo Mikata

Since Specialization
Citations

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

Fields of papers citing papers by Atsuo Mikata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Atsuo Mikata

This figure shows the co-authorship network connecting the top 25 collaborators of Atsuo Mikata. A scholar is included among the top collaborators of Atsuo Mikata 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 Atsuo Mikata. Atsuo Mikata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 8
3 7
4 20
5 16
6 21
7 7
8 3
9 19
10 9
11 20
12
[Peripheral T cell lymphoma (immunoblastic type, HTLV-1 negative) associated with aganglionosis of the intestine].
2
13 1
14 17
15 3
16 6
17 4
18 2
19
Histochemical Studies on Mucins and Secretory Glycoproteins in Early Gastric Carcinoma
1
20 15

About Atsuo Mikata

Atsuo Mikata is a scholar working on Pathology and Forensic Medicine, Genetics and Immunology, having authored 114 papers that have together received 1.9k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (48 papers), Chronic Lymphocytic Leukemia Research (17 papers) and Viral-associated cancers and disorders (14 papers). The work is most often cited by research in Pathology and Forensic Medicine (962 citations), Oncology (698 citations) and Neurology (319 citations). Atsuo Mikata has collaborated with scholars based in Japan, United States and Malaysia. Frequent co-authors include Jun Itami, Kenichi Harigaya, Ryo Ichinohasama, M Shiota, Tadaatsu Akagi, Jun Miyauchi, N Mori, Junya Fujimoto, Manabu Abe and Shôji Nakamura. Their work appears in journals such as Blood, The Journal of Immunology and Gastroenterology.

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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