Mitsuo Kitahara

34 total papers · 433 total citations
19 papers, 350 citations indexed

About

Mitsuo Kitahara is a scholar working on Epidemiology, Infectious Diseases and Immunology. According to data from OpenAlex, Mitsuo Kitahara has authored 19 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 7 papers in Infectious Diseases and 4 papers in Immunology. Recurrent topics in Mitsuo Kitahara's work include Antifungal resistance and susceptibility (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers) and Respiratory viral infections research (2 papers). Mitsuo Kitahara is often cited by papers focused on Antifungal resistance and susceptibility (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers) and Respiratory viral infections research (2 papers). Mitsuo Kitahara collaborates with scholars based in United States, Japan and Pakistan. Mitsuo Kitahara's co-authors include Gerald Medoff, G S Kobayashi, Harmon J. Eyre, V. Seth, Harry R. Hill, Marvin L. Rallison, Robert E. Lynch, Thomas M. Cosgriff, Takahide Kikuchi and Tetsuo Nakayama and has published in prestigious journals such as JAMA, Annals of Internal Medicine and Cancer.

In The Last Decade

Mitsuo Kitahara

18 papers receiving 301 citations

Author Peers

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

Author						Papers	Cites
Mitsuo Kitahara	138	117	68	40	40	19	350
C. Heymans	152 1.1×	116 1.0×	35 0.5×	28 0.7×	63 1.6×	12	348
Carl E. Roberts	87 0.6×	86 0.7×	47 0.7×	12 0.3×	127 3.2×	16	403
Ahmed M. Al‐Hakami	51 0.4×	103 0.9×	26 0.4×	46 1.1×	60 1.5×	32	341
Claire L. Fellman	39 0.3×	103 0.9×	108 1.6×	26 0.7×	53 1.3×	24	373
L. Puckey	57 0.4×	43 0.4×	48 0.7×	32 0.8×	126 3.1×	14	342
James Owens	139 1.0×	215 1.8×	34 0.5×	44 1.1×	78 1.9×	15	399
Yanhua Pang	135 1.0×	192 1.6×	41 0.6×	39 1.0×	88 2.2×	17	371
Changbo Qu	102 0.7×	81 0.7×	38 0.6×	10 0.3×	126 3.1×	16	352
Raquel M. Marques	90 0.7×	51 0.4×	87 1.3×	9 0.2×	72 1.8×	14	387
Estela Isabel Bini	140 1.0×	96 0.8×	64 0.9×	5 0.1×	59 1.5×	19	333

Countries citing papers authored by Mitsuo Kitahara

Since Specialization

Citations

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

Fields of papers citing papers by Mitsuo Kitahara

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitsuo Kitahara

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