E Aruga

760 total citations
9 papers, 646 citations indexed

About

E Aruga is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, E Aruga has authored 9 papers receiving a total of 646 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 5 papers in Oncology and 1 paper in Molecular Biology. Recurrent topics in E Aruga's work include Immunotherapy and Immune Responses (7 papers), Immune Cell Function and Interaction (4 papers) and T-cell and B-cell Immunology (3 papers). E Aruga is often cited by papers focused on Immunotherapy and Immune Responses (7 papers), Immune Cell Function and Interaction (4 papers) and T-cell and B-cell Immunology (3 papers). E Aruga collaborates with scholars based in United States, Japan and Hungary. E Aruga's co-authors include Alfred E. Chang, Atsushi Aruga, Maria Wysocka, Kevin E. Salhany, Christopher A. Hunter, Christina Coughlin, Giorgio Trinchieri, Vernon K. Sondak, D. Keith Bishop and Mark J. Cameron and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Immunology and Journal of Leukocyte Biology.

In The Last Decade

E Aruga

9 papers receiving 633 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
E Aruga United States	8	484	283	231	80	34	9	646
T Hamaoka Japan	10	755 1.6×	411 1.5×	171 0.7×	78 1.0×	24 0.7×	11	901
Jun Diao Canada	17	742 1.5×	305 1.1×	192 0.8×	87 1.1×	20 0.6×	20	951
R Tubbs United States	12	437 0.9×	318 1.1×	218 0.9×	59 0.7×	22 0.6×	22	714
R Brew United Kingdom	10	303 0.6×	224 0.8×	155 0.7×	123 1.5×	12 0.4×	16	579
T. Blankenstein Germany	9	589 1.2×	306 1.1×	152 0.7×	107 1.3×	9 0.3×	16	707
So Matsui United States	6	1.1k 2.2×	451 1.6×	171 0.7×	39 0.5×	24 0.7×	8	1.2k
Gabriele Noffz Germany	8	511 1.1×	243 0.9×	149 0.6×	63 0.8×	11 0.3×	9	624
Korina G. Veenstra United States	6	317 0.7×	216 0.8×	139 0.6×	54 0.7×	25 0.7×	8	484
Panu E. Kovanen Finland	8	931 1.9×	398 1.4×	142 0.6×	92 1.1×	46 1.4×	13	1.2k
Rosa Wainstok Argentina	10	574 1.2×	317 1.1×	214 0.9×	28 0.3×	12 0.4×	17	727

Countries citing papers authored by E Aruga

Since Specialization

Citations

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

Fields of papers citing papers by E Aruga

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E Aruga

This figure shows the co-authorship network connecting the top 25 collaborators of E Aruga. A scholar is included among the top collaborators of E Aruga 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 E Aruga. E Aruga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Aruga, E, Atsushi Aruga, Hiroshi Arai, et al.. (2000). CD95-Mediated Tumor Recognition by CD4+ Effector Cells in a Murine Mammary Model. Journal of Immunotherapy. 23(2). 225–234. 6 indexed citations

2.

Aruga, Atsushi, et al.. (1999). Enhanced adjuvant effect of granulocyte-macrophage colony-stimulating factor plus interleukin-12 compared with either alone in vaccine-induced tumor immunity. Cancer Gene Therapy. 6(1). 89–95. 20 indexed citations

3.

Coughlin, Christina, Kevin E. Salhany, Maria Wysocka, et al.. (1998). Interleukin-12 and interleukin-18 synergistically induce murine tumor regression which involves inhibition of angiogenesis.. Journal of Clinical Investigation. 101(6). 1441–1452. 356 indexed citations

4.

Tan, Jun, Brian Crucian, Alfred E. Chang, et al.. (1998). Interferon-??-Inducing Factor Elicits Antitumor Immunity Association with Interferon-?? Production. Journal of Immunotherapy. 21(1). 48–55. 30 indexed citations

5.

Wysocka, Maria, et al.. (1998). Recombinant interleukin 12 enhances cellular immune responses to vaccination only after a period of suppression.. PubMed. 58(3). 491–9. 51 indexed citations

6.

Aruga, Atsushi, E Aruga, & Alfred E. Chang. (1997). Reduced efficacy of allogeneic versus syngeneic fibroblasts modified to secrete cytokines as a tumor vaccine adjuvant.. PubMed. 57(15). 3230–7. 24 indexed citations

7.

Aruga, Atsushi, et al.. (1997). Type 1 versus type 2 cytokine release by Vbeta T cell subpopulations determines in vivo antitumor reactivity: IL-10 mediates a suppressive role. The Journal of Immunology. 159(2). 664–673. 93 indexed citations

8.

Aruga, Atsushi, E Aruga, Mark J. Cameron, & Alfred E. Chang. (1997). Different cytokine profiles released by CD4+ and CD8+ tumor-draining lymph node cells involved in mediating tumor regression. Journal of Leukocyte Biology. 61(4). 507–516. 45 indexed citations

9.

Aruga, E, et al.. (1997). Immune responsiveness to a murine mammary carcinoma modified to express B7-1, interleukin-12, or GM-CSF.. PubMed. 4(3). 157–66. 21 indexed citations

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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