Kazunori Kon

958 total citations
40 papers, 821 citations indexed

About

Kazunori Kon is a scholar working on Physiology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Kazunori Kon has authored 40 papers receiving a total of 821 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Physiology, 21 papers in Pulmonary and Respiratory Medicine and 10 papers in Molecular Biology. Recurrent topics in Kazunori Kon's work include Erythrocyte Function and Pathophysiology (29 papers), Blood properties and coagulation (21 papers) and Hemoglobin structure and function (9 papers). Kazunori Kon is often cited by papers focused on Erythrocyte Function and Pathophysiology (29 papers), Blood properties and coagulation (21 papers) and Hemoglobin structure and function (9 papers). Kazunori Kon collaborates with scholars based in Japan, United States and Spain. Kazunori Kon's co-authors include Nobuji Maeda, Takuya Shiga, Takeshi Shiga, Misuzu Sekiya, T. Suda, Kazuhiko Imaizumi, Masaharu Okazaki, Takashi Fujiwara, Tetsuo Shiga and Junko Murakami and has published in prestigious journals such as Blood, The Journal of Physiology and Environmental Health Perspectives.

In The Last Decade

Kazunori Kon

40 papers receiving 791 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kazunori Kon Japan 16 482 384 176 117 97 40 821
Misuzu Sekiya Japan 13 314 0.7× 261 0.7× 115 0.7× 62 0.5× 67 0.7× 23 509
Paul L. LaCelle United States 10 651 1.4× 330 0.9× 323 1.8× 128 1.1× 66 0.7× 12 1.0k
Binglan Yu United States 20 331 0.7× 205 0.5× 251 1.4× 331 2.8× 72 0.7× 53 1.2k
Robert L. Baranowski United States 12 392 0.8× 142 0.4× 277 1.6× 31 0.3× 47 0.5× 22 1.1k
Harry R. Jacobson United States 16 164 0.3× 351 0.9× 285 1.6× 47 0.4× 29 0.3× 25 1.0k
Nobuhiro Uyesaka Japan 16 320 0.7× 224 0.6× 169 1.0× 41 0.4× 27 0.3× 47 767
Kenneth E. Burhop United States 21 329 0.7× 145 0.4× 366 2.1× 512 4.4× 30 0.3× 50 1.2k
Kaushik Parthasarathi United States 19 260 0.5× 456 1.2× 491 2.8× 105 0.9× 54 0.6× 42 1.2k
Wiebke Lückstädt Germany 8 287 0.6× 122 0.3× 229 1.3× 88 0.8× 34 0.4× 10 799
Christian M. Kramer Germany 5 255 0.5× 96 0.3× 165 0.9× 82 0.7× 33 0.3× 5 586

Countries citing papers authored by Kazunori Kon

Since Specialization
Citations

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

Fields of papers citing papers by Kazunori Kon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazunori Kon

This figure shows the co-authorship network connecting the top 25 collaborators of Kazunori Kon. A scholar is included among the top collaborators of Kazunori Kon 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 Kazunori Kon. Kazunori Kon 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
1.
Lampert, Joshua, Deepak L. Bhatt, Akhil Vaid, et al.. (2025). Calibration of ECG-Based Deep-Learning Algorithm Scores for Patients Flagged as High Risk for Hypertrophic Cardiomyopathy. NEJM AI. 2(5). 3 indexed citations
2.
Ohkubo, Nobutaka, Mamoru Aoto, Kazunori Kon, & Noriaki Mitsuda. (2019). Lack of zinc finger protein 521 upregulates dopamine β-hydroxylase expression in the mouse brain, leading to abnormal behavior. Life Sciences. 231. 116559–116559. 5 indexed citations
3.
4.
Kon, Kazunori & Takashi Fujiwara. (1994). Transformation of fibroblasts into endothelial cells during angiogenesis. Cell and Tissue Research. 278(3). 625–628. 33 indexed citations
5.
Okada, Mariko, et al.. (1992). Cytotoxicity of activated platelets to autologous red blood cells. British Journal of Haematology. 82(1). 142–150. 9 indexed citations
6.
Shiga, Takuya, Nobuji Maeda, & Kazunori Kon. (1990). Erythrocyte rheology. Critical Reviews in Oncology/Hematology. 10(1). 9–48. 122 indexed citations
7.
Sakai, Keiko, Harumi Okuyama, Kazunori Kon, et al.. (1990). Effects of high α‐linolenate and linoleate diets on erythrocyte deformability and hematological indices in rats. Lipids. 25(12). 793–797. 14 indexed citations
8.
Maeda, Nobuji, Kazunori Kon, Norihiko Tateishi, et al.. (1989). Rheological properties of erythrocytes in recombinant human erythropoietin‐administered normal rat. British Journal of Haematology. 73(1). 105–111. 5 indexed citations
9.
Maeda, Nobuji, et al.. (1988). Erythrocyte Aggregation as a Determinant of Blood Flow: Effect of pH, Temperature and Osmotic Pressure. Advances in experimental medicine and biology. 222. 563–570. 13 indexed citations
10.
Okazaki, Mikio, Kazunori Kon, Nobuji Maeda, & Takuya Shiga. (1988). Distribution of erythrocyte in a model vessel exposed to inhomogeneous magnetic fields.. PubMed. 20(1). 3–14. 6 indexed citations
11.
Maeda, Nobuji, Kazuhiko Imaizumi, Kazunori Kon, & Tetsuo Shiga. (1987). A kinetic study on functional impairment of nitric oxide-exposed rat erythrocytes.. Environmental Health Perspectives. 73. 171–177. 36 indexed citations
12.
Maeda, Nobuji, Kazuhiko Imaizumi, Kazunori Kon, & Takeshi Shiga. (1987). A Kinetic Study on Functional Impairment of Nitric Oxide-Exposed Rat Erythrocytes. Environmental Health Perspectives. 73. 171–171. 6 indexed citations
13.
Murakami, Junko, Nobuji Maeda, Kazunori Kon, & Takeshi Shiga. (1986). A contribution of calmodulin to cellular deformability of calcium-loaded human erythrocytes. Biochimica et Biophysica Acta (BBA) - Biomembranes. 863(1). 23–32. 25 indexed citations
14.
Shiga, Takeshi, Misuzu Sekiya, Nobuji Maeda, Kazunori Kon, & Masaharu Okazaki. (1985). Cell age-dependent changes in deformability and calcium accumulation of human erythrocytes. Biochimica et Biophysica Acta (BBA) - Biomembranes. 814(2). 289–299. 84 indexed citations
15.
16.
Maeda, Nobuji, Kazunori Kon, Kazuhiko Imaizumi, & Takeshi Shiga. (1984). Kinetic study of nitrosylhemoglobin and methemoglobin formation in the blood of rat exposed to nitric oxide. Journal of Japan Society of Air Pollution. 19(3). 239–246. 1 indexed citations
17.
Maeda, Nobuji, Kazuhiko Imaizumi, Kazunori Kon, & Takuya Shiga. (1984). Effect of nitric oxide exposure on the red cell rheology. In relation to oxidative crosslinking of membrane proteins. Journal of Japan Society of Air Pollution. 19(4). 283–291. 3 indexed citations
18.
Kon, Kazunori, Nobuji Maeda, T. Suda, Misuzu Sekiya, & Takeshi Shiga. (1983). Protective Effect of α-Tocopherol on the Morphological and Rheological Changes of Rat Red Cells. Acta Haematologica. 69(2). 111–116. 13 indexed citations
19.
Maeda, Nobuji, Kazunori Kon, Misuzu Sekiya, & Takeshi Shiga. (1980). Functional Restoration of ACD‐Blood by Pyridoxal 5′‐Phosphate. British Journal of Haematology. 45(3). 467–480. 8 indexed citations
20.
Kon, Kazunori, Nobuji Maeda, & Takeshi Shiga. (1977). Effect of nitric oxide on the oxygen transport of human erythrocytes. Journal of Toxicology and Environmental Health. 2(5). 1109–1113. 26 indexed citations

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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