K Egawa

853 citations
19 papers · 717 indexed · h-index 12
Topics
Immune Cell Function and Interaction (5 papers)Pneumocystis jirovecii pneumonia detection and treatment (4 papers)T-cell and B-cell Immunology (4 papers)

In The Last Decade

K Egawa

19 papers receiving 685 citations

Peers

K Egawa
Comparison fields: 5 of 63
  • Epidemiology 377
  • Immunology 189
  • Infectious Diseases 169
  • Molecular Biology 125
  • Oncology 118
Replace Suguru Imaeda with:
Suguru Imaeda United States
F T Jay Canada
Dan E. Sturdevant United States
Sena J. Lee United States
Marcello Merola Italy
Yasuhiko Ito Japan
Hideyuki Kato Japan
L. Vernon Scott United States
Sugata Roy South Africa
W. R. Fleischmann United States
K Egawa relative to Suguru Imaeda United States Suguru Imaeda's profile →
Citations per field
00.5×1.5×2.5×
Suguru Imaeda · 1×
Citations per year

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

19 of 19 papers shown
#WorkIndexed citations
1
Depletion of IL-10- and TGF-beta-producing regulatory gamma delta T cells by administering a daunomycin-conjugated specific monoclonal antibody in early tumor lesions augments the activity of CTLs and NK cells.
123
2 159
3 2
4 1
5 2
6 65
7 12
8 11
9 16
10 72
11 23
12 55
13 35
14
Regressor serum factor-dependent nonspecific killers in tumor-bearing mice.
1
15 7
16
Nonspecific cytotoxic cells induced in vivo and their comparison to culture-induced cytotoxic cells.
1
17
T cell-dependent nonspecific cytotoxicity induced by culture of mouse spleen cells against natural killer-insensitive tumor cells.
6
18 45
19 81

About K Egawa

K Egawa is a scholar working on Immunology, Transplantation and Biotechnology, having authored 19 papers that have together received 717 indexed citations. Recurring topics across this 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). The work is most often cited by research in Epidemiology (377 citations), Infectious Diseases (169 citations) and Immunology (189 citations). K Egawa has collaborated with scholars based in Japan, Germany and United Kingdom. Frequent co-authors include T Takenawa, Naohiro Seo, Yoshiki Tokura, Yoshikazu Nakamura, Claus Garbe, Donna Lavergne, Giuseppe Astori, Kazuhiro Kitada, Michiko Saito and Bertram Sacktor. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and The Journal of Immunology.

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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