Makiko Mori

224 total papers · 1.5k total citations
87 papers, 665 citations indexed

About

Makiko Mori is a scholar working on Oncology, Molecular Biology and Hematology. According to data from OpenAlex, Makiko Mori has authored 87 papers receiving a total of 665 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), Breast Cancer Treatment Studies (5 papers) and Neuroendocrine Tumor Research Advances (5 papers). Makiko Mori is often cited by papers focused on Acute Lymphoblastic Leukemia research (7 papers), Breast Cancer Treatment Studies (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, Yoshisuke Nishi, Shizuo Kayama, Darija Vidučić, Tsuneko Ono, Katsuyoshi Koh, Keiji Murakami, Yoichiro Miyake and Ken Nemoto 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

69 papers receiving 640 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Makiko Mori	205	128	123	106	85	87	665
Alfredo Corona‐Rivera	219 1.1×	136 1.1×	37 0.3×	111 1.0×	83 1.0×	67	590
Mehdi Azad	337 1.6×	32 0.3×	91 0.7×	73 0.7×	42 0.5×	67	771
Rishi Jain	105 0.5×	43 0.3×	139 1.1×	42 0.4×	172 2.0×	63	678
Maral Mokhtari	108 0.5×	33 0.3×	105 0.9×	45 0.4×	140 1.6×	109	638
Elena Costa	362 1.8×	42 0.3×	70 0.6×	66 0.6×	92 1.1×	44	727
Maryam Sotoudeh Anvari	171 0.8×	69 0.5×	64 0.5×	26 0.2×	161 1.9×	71	739
Sixi Liu	187 0.9×	26 0.2×	73 0.6×	31 0.3×	40 0.5×	80	607
Frank Schwenter	112 0.5×	75 0.6×	109 0.9×	36 0.3×	218 2.6×	42	623
Taghi Amiriani	202 1.0×	95 0.7×	129 1.0×	24 0.2×	125 1.5×	52	683
Rekha Gupta	236 1.2×	68 0.5×	40 0.3×	40 0.4×	138 1.6×	59	729

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

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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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