Mari Kono

516 total citations
28 papers, 396 citations indexed

About

Mari Kono is a scholar working on Physiology, Molecular Biology and Immunology. According to data from OpenAlex, Mari Kono has authored 28 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Physiology, 9 papers in Molecular Biology and 9 papers in Immunology. Recurrent topics in Mari Kono's work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (6 papers), Blood properties and coagulation (4 papers) and Heme Oxygenase-1 and Carbon Monoxide (4 papers). Mari Kono is often cited by papers focused on Neutrophil, Myeloperoxidase and Oxidative Mechanisms (6 papers), Blood properties and coagulation (4 papers) and Heme Oxygenase-1 and Carbon Monoxide (4 papers). Mari Kono collaborates with scholars based in Japan, Malaysia and Italy. Mari Kono's co-authors include Atsushi Wada, Yuri Takagi, Katsuyasu Saigo, Takashi Morikawa, Mariko Takenokuchi, Keiji Fujimoto, Hirohide Sawada, Akiko Shiratsuchi, Haruhiro Higashida and Keita Koizumi and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Neurochemistry.

In The Last Decade

Mari Kono

25 papers receiving 389 citations

Peers

Countries citing papers authored by Mari Kono

Since Specialization

Citations

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

Fields of papers citing papers by Mari Kono

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mari Kono

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Effects of storage time and temperature on coagulation factor and natural anticoagulant activities in healthy individuals 2025 ·Scientific Reports ·Ryoichi Nakanishi, (unknown), (unknown), Mari Kono, Masahiro Maki, (unknown), Yutaka Komiyama, (unknown)	0
2	Salivary short chain fatty acids serve as biomarkers of periodontal inflammatory burden 2025 ·Scientific Reports ·(unknown), (unknown), Toshiyuki Yoshida, Mari Kono, Naoki Toya, (unknown), Kazuhiro Omori, Shogo Takashiba	1
3	Fluvastatin suppresses hemin-induced cell death, reactive oxygen species generation, and elevated labile iron pool 2024 ·Hematology Transfusion and Cell Therapy ·(unknown), Katsuyasu Saigo, Mari Kono, (unknown), (unknown), (unknown), (unknown)	1
4	Predictive value of cell population data with Sysmex XN-series hematology analyzer for culture-proven bacteremia 2023 ·Frontiers in Medicine ·Yuki Miyajima, Hideki Niimi, Tomohiro Ueno, (unknown), (unknown), (unknown), Mari Kono, (unknown), Kentaro Nagaoka, Yoshihiro Yamamoto, Isao Kitajima	5
5	Enzymatic measurement of short-chain fatty acids and application in periodontal disease diagnosis 2022 ·PLoS ONE ·(unknown), (unknown), Toshiyuki Yoshida, Mari Kono, Naoki Toya, Shin‐ichi Sakasegawa, (unknown), Tadashi Yamamoto, Kuniyasu Ochiai, Shogo Takashiba	10
6	Labile iron, ROS, and cell death are prominently induced by haemin, but not by non-transferrin-bound iron 2021 ·Transfusion and Apheresis Science ·(unknown), (unknown), (unknown), Mari Kono, (unknown), (unknown), (unknown), Katsuyasu Saigo	12
7	Evaluation of immature platelet fraction as a marker of dengue fever progression 2021 ·International Journal of Infectious Diseases ·(unknown), (unknown), Mari Kono, Chandramathi Samudi, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Shamala Devi Sekaran, Sharifah Faridah Syed Omar, Lucy Chai See Lum	9
8	Verification of IPF as a diagnostic and monitoring indicator in dengue 2020 ·International Journal of Infectious Diseases ·Yoshio Matsui, (unknown), Mari Kono, (unknown), (unknown), (unknown), (unknown), (unknown), Chandramathi Samudi, (unknown), Sharifah Faridah Syed Omar, Lucy Chai See Lum	0
9	After haemin treatment intracellular non-haem iron increases prior to haem oxygenase-1 induction: A study in human monocytic cell line THP-1 2019 ·Transfusion and Apheresis Science ·(unknown), (unknown), Mari Kono, (unknown), (unknown), (unknown), (unknown), Hirohide Sawada, Katsuyasu Saigo	6
10	Haemin-induced cell death in human monocytic cells is consistent with ferroptosis 2018 ·Transfusion and Apheresis Science ·(unknown), Mari Kono, (unknown), (unknown), (unknown), (unknown), Hirohide Sawada, (unknown), Katsuyasu Saigo	56
11	Acetate moderately attenuates the generation of neutrophil extracellular traps 2018 ·Blood Research ·(unknown), Mari Kono, Mariko Takenokuchi, (unknown), Katsuyasu Saigo	10
12	Detection of activated neutrophils by reactive oxygen species production using a hematology analyzer 2018 ·Journal of Immunological Methods ·Mari Kono, Katsuyasu Saigo, (unknown), Takayuki Takahashi, Makoto Hashimoto, (unknown), (unknown), Takashi Nishiyama, Seiji Kawano	4
13	Morphological and optical properties of human immature platelet-enriched population produced in immunodeficient mice 2018 ·Platelets ·Mari Kono, (unknown), Fumie Nakazawa, Masako Kaido, Atsushi Wada, Yoshiaki Tomiyama	8
14	Investigation of morphological changes for the discrimination of nucleated red blood cells and other leukocytes in Sysmex XN hematology analyzer scattergrams using transmission electron microscopy 2017 ·Practical Laboratory Medicine ·Masako Kaido, Yuri Takagi, Mari Kono, Fumie Nakazawa, Shiori Yamamoto, Atsushi Wada, Takashi Morikawa	10
15	Mechanism of hemin-induced ROS production and cell death in monocyte/macrophage 2017 ·(unknown), (unknown), (unknown), (unknown), Hirohide Sawada, Katsuyasu Saigo, Mari Kono	2
16	Comparison of optical data from flow cytometry and microscopy of leukocytes after exposure to specific reagents 2015 ·Microscopy ·Yuri Takagi, Mari Kono, Shiori Yamamoto, Atsushi Wada, Takashi Morikawa	7
17	Accuracy of a New Platelet Count System (PLT-F) Depends on the Staining Property of Its Reagents 2015 ·PLoS ONE ·Atsushi Wada, Yuri Takagi, Mari Kono, Takashi Morikawa	40
18	Non‐activated T and B lymphocytes become morphologically distinguishable after detergent treatment 2013 ·Cytometry Part A ·Mari Kono, Yuri Takagi, (unknown), Atsushi Wada, Takashi Morikawa, (unknown)	8
19	Morphological definition of CD71 positive reticulocytes by various staining techniques and electron microscopy compared to reticulocytes detected by an automated hematology analyzer 2009 ·Clinica Chimica Acta ·Mari Kono, (unknown), Yuri Takagi, Atsushi Wada, Keiji Fujimoto	38
20	Identification of calreticulin as a marker for phagocytosis of apoptotic cells in Drosophila 2006 ·Experimental Cell Research ·Takayuki Kuraishi, (unknown), Mari Kono, (unknown), Naoko Yamamoto, Keita Koizumi, Akiko Shiratsuchi, Yong Seok Lee, Haruhiro Higashida, Yoshinobu Nakanishi	57

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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