Jun Nakazawa

33 total papers · 1.7k total citations
19 papers, 655 citations indexed

About

Jun Nakazawa is a scholar working on Nephrology, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jun Nakazawa has authored 19 papers receiving a total of 655 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Nephrology, 7 papers in Epidemiology and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jun Nakazawa's work include Chronic Kidney Disease and Diabetes (4 papers), Autophagy in Disease and Therapy (4 papers) and Systemic Sclerosis and Related Diseases (3 papers). Jun Nakazawa is often cited by papers focused on Chronic Kidney Disease and Diabetes (4 papers), Autophagy in Disease and Therapy (4 papers) and Systemic Sclerosis and Related Diseases (3 papers). Jun Nakazawa collaborates with scholars based in Japan, United States and South Korea. Jun Nakazawa's co-authors include Shinji Kume, Daisuke Koya, Takashi Uzu, Masami Chin‒Kanasaki, Shin‐ichi Araki, Hiroshi Maegawa, Hisazumi Araki, Masakazu Haneda, Satoshi Ugi and Kosuke Yamahara and has published in prestigious journals such as Diabetes, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Jun Nakazawa

17 papers receiving 646 citations

Author Peers

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

Author						Papers	Cites
Jun Nakazawa	196	191	188	174	122	19	655
Ahrom Ham	104 0.5×	141 0.7×	63 0.3×	290 1.7×	128 1.0×	21	746
Fei Fang	101 0.5×	84 0.4×	67 0.4×	237 1.4×	81 0.7×	16	645
Jin Young Jeong	53 0.3×	184 1.0×	155 0.8×	223 1.3×	94 0.8×	29	774
Yen‐Ta Chen	84 0.4×	66 0.3×	211 1.1×	168 1.0×	106 0.9×	13	660
Xiqiong Han	133 0.7×	118 0.6×	79 0.4×	296 1.7×	72 0.6×	23	684
Christian Wunder	116 0.6×	86 0.5×	134 0.7×	256 1.5×	52 0.4×	35	632
Ryo Takeda	86 0.4×	55 0.3×	178 0.9×	275 1.6×	125 1.0×	33	752
Douwe Pons	81 0.4×	62 0.3×	150 0.8×	188 1.1×	86 0.7×	25	610
Hiroko Hosoda	54 0.3×	94 0.5×	330 1.8×	150 0.9×	205 1.7×	11	612
Young‐Keun Choi	78 0.4×	105 0.5×	74 0.4×	302 1.7×	57 0.5×	24	647

Countries citing papers authored by Jun Nakazawa

Since Specialization

Citations

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

Fields of papers citing papers by Jun Nakazawa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Nakazawa

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Nakazawa. A scholar is included among the top collaborators of Jun Nakazawa 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 Jun Nakazawa. Jun Nakazawa 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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