Masao Kim

44 total papers · 860 total citations
24 papers, 613 citations indexed

About

Masao Kim is a scholar working on Nephrology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Masao Kim has authored 24 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Nephrology, 7 papers in Pulmonary and Respiratory Medicine and 5 papers in Surgery. Recurrent topics in Masao Kim's work include Dialysis and Renal Disease Management (9 papers), Parathyroid Disorders and Treatments (3 papers) and Nutrition and Health in Aging (3 papers). Masao Kim is often cited by papers focused on Dialysis and Renal Disease Management (9 papers), Parathyroid Disorders and Treatments (3 papers) and Nutrition and Health in Aging (3 papers). Masao Kim collaborates with scholars based in Japan, United States and New Zealand. Masao Kim's co-authors include Eiji Ishimura, Takami Miki, Yoshiki Nishizawà, Masaaki Inaba, Senji Okuno, Tetsuo Shoji, Kyoko Nagasue, Senji Okuno, Shigeichi Shoji and Takahiko Kawagishi and has published in prestigious journals such as Kidney International, Journal of the American Society of Nephrology and American Journal of Kidney Diseases.

In The Last Decade

Masao Kim

24 papers receiving 593 citations

Author Peers

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

Author						Papers	Cites
Masao Kim	398	183	142	125	95	24	613
Praveen Kandula	329 0.8×	219 1.2×	144 1.0×	101 0.8×	105 1.1×	17	665
Charlotte A. te Velde‐Keyzer	293 0.7×	120 0.7×	131 0.9×	122 1.0×	72 0.8×	36	694
Gérard Maruani	283 0.7×	171 0.9×	87 0.6×	140 1.1×	147 1.5×	24	635
Silvia Carreira Ribeiro	548 1.4×	89 0.5×	88 0.6×	146 1.2×	127 1.3×	16	675
Young Shin Shin	297 0.7×	265 1.4×	106 0.7×	101 0.8×	137 1.4×	17	625
Birger Lindergård	430 1.1×	83 0.5×	82 0.6×	108 0.9×	30 0.3×	26	577
Luigi Russo	470 1.2×	106 0.6×	100 0.7×	131 1.0×	102 1.1×	26	680
Jonaz Ripsweden	333 0.8×	73 0.4×	110 0.8×	101 0.8×	91 1.0×	29	667
Giorgio Punzo	238 0.6×	74 0.4×	126 0.9×	123 1.0×	126 1.3×	36	592
Hans Rickers	130 0.3×	135 0.7×	122 0.9×	48 0.4×	171 1.8×	29	602

Countries citing papers authored by Masao Kim

Since Specialization

Citations

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

Fields of papers citing papers by Masao Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masao Kim

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