Ken Morii

997 citations
49 papers · 821 · h-index 18

Impact in

  • Genetics top 5%
    • Glioma Diagnosis and Treatment
  • Neurology top 10%
    • CNS Lymphoma Diagnosis and Treatment

Papers in

    • CNS Lymphoma Diagnosis and Treatment 7
    • Intracerebral and Subarachnoid Hemorrhage Research 2
    • Glioma Diagnosis and Treatment 6

Ken Morii

49 papers receiving 787 citations

Peers

Ken Morii
Comparison fields: 5 of 85
  • Genetics 192
  • Neurology 155
  • Hematology 74
  • Cancer Research 77
  • Rheumatology 73
Replace E. T. Hedley‐Whyte with:
E. T. Hedley‐Whyte United States
Juji Takeuchi Japan
Andreana Laura Rivera United States
Martin P. Powers United States
Shigeaki Hori Japan
Toshifumi Kamiryo United States
Vincenzo D’Angelo Italy
Viviana Cordeddu Italy
Nouriya Abbas Al-Sannaa Saudi Arabia
Karin Y. van Spaendonck‐Zwarts Netherlands
Ken Morii relative to E. T. Hedley‐Whyte United States E. T. Hedley‐Whyte's profile →
Citations per field
00.5×2×3×4×4.6×
E. T. Hedley‐Whyte · 1×
Citations per year

Countries citing papers authored by Ken Morii

Since Specialization
Citations

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

Fields of papers citing papers by Ken Morii

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199380
2 199360
3 200255
4 200847
5 201238
6 199137
7 200034
8 200031
9 199728
10 200126
11 199726
12 199026
13 199226
14 199425
15 200523
16 199121
17 200819
18 199219
19 200516
20 200015

About Ken Morii

Ken Morii is a scholar working on Neurology, Genetics, Cellular and Molecular Neuroscience, Molecular Biology and Rheumatology, having authored 49 papers that have together received 821 indexed citations. Recurring topics across this work include CNS Lymphoma Diagnosis and Treatment (7 papers), Glioma Diagnosis and Treatment (6 papers), Neuroscience and Neuropharmacology Research (4 papers), Receptor Mechanisms and Signaling (3 papers), Lymphoma Diagnosis and Treatment (3 papers), 14-3-3 protein interactions (2 papers), Intracerebral and Subarachnoid Hemorrhage Research (2 papers) and Epilepsy research and treatment (2 papers). The work is most often cited by research in Genetics (192 citations), Neurology (155 citations), Hematology (74 citations), Cancer Research (77 citations) and Rheumatology (73 citations). Ken Morii has collaborated with scholars based in Japan and United States. Frequent co-authors include Seiichi Yoshida, Reina Tanaka, Ryuichi Tanaka, Toshiro Kumanishi, Masato Watanabe, Kazuo Washiyama, Takafumi Saito, Itaru Tsumanuma, Yasuo Takahashi and Mitsuhiro Yoshioka. Their work appears in journals such as Biochemical and Biophysical Research Communications, Acta Neurochirurgica, Neuroradiology, British Journal of Haematology and Annals of Hematology.

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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