K Egawa

32 total papers · 853 total citations
19 papers, 718 citations indexed

About

K Egawa is a scholar working on Immunology, Epidemiology and Oncology. According to data from OpenAlex, K Egawa has authored 19 papers receiving a total of 718 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 6 papers in Epidemiology and 4 papers in Oncology. Recurrent topics in K Egawa's work include Immune Cell Function and Interaction (5 papers), Pneumocystis jirovecii pneumonia detection and treatment (4 papers) and T-cell and B-cell Immunology (4 papers). K Egawa is often cited by papers focused on Immune Cell Function and Interaction (5 papers), Pneumocystis jirovecii pneumonia detection and treatment (4 papers) and T-cell and B-cell Immunology (4 papers). K Egawa collaborates with scholars based in Japan, Germany and United States. K Egawa's co-authors include T Takenawa, Naohiro Seo, Yoshiki Tokura, Yoshikazu Nakamura, Claus Garbe, Donna Lavergne, Giuseppe Astori, Kazuhiro Kitada, Michiko Saito and T Takenawa and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and The Journal of Immunology.

In The Last Decade

K Egawa

19 papers receiving 686 citations

Author Peers

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

Author						Papers	Cites
K Egawa	377	190	170	125	121	19	718
Élodie Beaumont	342 0.9×	296 1.6×	123 0.7×	90 0.7×	44 0.4×	22	769
J. Paul Zoeteweij	279 0.7×	185 1.0×	98 0.6×	206 1.6×	317 2.6×	18	784
Suguru Imaeda	213 0.6×	257 1.4×	68 0.4×	146 1.2×	144 1.2×	26	630
G. Bezold	313 0.8×	81 0.4×	106 0.6×	130 1.0×	128 1.1×	23	799
Susan Harvey	118 0.3×	156 0.8×	56 0.3×	159 1.3×	86 0.7×	28	648
F T Jay	260 0.7×	167 0.9×	89 0.5×	235 1.9×	173 1.4×	22	746
Nicole Meissner	246 0.7×	294 1.5×	148 0.9×	126 1.0×	55 0.5×	28	708
Souphalone Luangsay	492 1.3×	266 1.4×	66 0.4×	151 1.2×	99 0.8×	17	831
Jeng‐Woei Lee	130 0.3×	103 0.5×	126 0.7×	337 2.7×	132 1.1×	31	757
Lawrence N. Chessin	224 0.6×	320 1.7×	112 0.7×	212 1.7×	172 1.4×	19	857

Countries citing papers authored by K Egawa

Since Specialization

Citations

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

Fields of papers citing papers by K Egawa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K Egawa

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