Makiko Mori

1.5k total citations
88 papers, 676 citations indexed

About

Makiko Mori is a scholar working on Oncology, Molecular Biology and Hematology. According to data from OpenAlex, Makiko Mori has authored 88 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Oncology, 15 papers in Molecular Biology and 15 papers in Hematology. Recurrent topics in Makiko Mori's work include Acute Lymphoblastic Leukemia research (7 papers), Acute Myeloid Leukemia Research (5 papers) and Neuroendocrine Tumor Research Advances (5 papers). Makiko Mori is often cited by papers focused on Acute Lymphoblastic Leukemia research (7 papers), Acute Myeloid Leukemia Research (5 papers) and Neuroendocrine Tumor Research Advances (5 papers). Makiko Mori collaborates with scholars based in Japan, United States and Italy. Makiko Mori's co-authors include Shin‐ichiro Narita, Hajime Tokuda, Katsuhiko Hirota, Darija Vidučić, Ken Nemoto, Tsuneko Ono, Naomichi Inui, Keiji Murakami, Yoichiro Miyake and Shizuo Kayama and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Makiko Mori

70 papers receiving 652 citations

Peers

Makiko Mori
Comparison fields: 5 of 106
  • Molecular Biology 205
  • Genetics 130
  • Oncology 125
  • Molecular Medicine 106
  • Surgery 86
Replace Sebastian Fischer with:
Sebastian Fischer Germany
Ruthann M. Giusti United States
Frank Schwenter Canada
Howard Hait United States
Xiaolin Yin China
Marlies Mulder Netherlands
Marco Grasso Italy
Markus D. Boos United States
E. Le Gall France
Dana Baran Canada
Sebastian Fischer Germany View profile →
Citations per field, relative to Makiko Mori
Makiko Mori · 1×
Citations per year, relative to Makiko Mori
Makiko Mori · 1×

Countries citing papers authored by Makiko Mori

Since Specialization
Citations

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

Fields of papers citing papers by Makiko Mori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makiko Mori

This figure shows the co-authorship network connecting the top 25 collaborators of Makiko Mori. A scholar is included among the top collaborators of Makiko Mori 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 Makiko Mori. Makiko Mori 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
# Work Indexed citations
1 0
2 5
3 0
4 1
5 10
6 4
7 3
8 13
9 6
10 0
11 19
12 8
13 2
14 20
15
Psychoeducational intervention to prevent critical incident stress among disaster volunteers
8
16 28
17
Development of A Self-Efficacy Scale for Diabetes Self Care (SESD)
1
18 5
19 13
20 9

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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