Eric Y. Umemoto

456 total citations
8 papers, 395 citations indexed

About

Eric Y. Umemoto is a scholar working on Immunology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Eric Y. Umemoto has authored 8 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 2 papers in Molecular Biology and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Eric Y. Umemoto's work include Immunotherapy and Immune Responses (4 papers), T-cell and B-cell Immunology (3 papers) and Immune Cell Function and Interaction (3 papers). Eric Y. Umemoto is often cited by papers focused on Immunotherapy and Immune Responses (4 papers), T-cell and B-cell Immunology (3 papers) and Immune Cell Function and Interaction (3 papers). Eric Y. Umemoto collaborates with scholars based in United States, Japan and Australia. Eric Y. Umemoto's co-authors include Donald M. McDonald, Peter Bałuk, Rodney Pearlman, Amy Haskell, Gavin Thurston, J W McLean, Patrick Bolton, James J. Brokaw, Gary P. Anderson and Gary W. White and has published in prestigious journals such as American Journal of Physiology-Heart and Circulatory Physiology, American Journal of Respiratory Cell and Molecular Biology and Toxicology Letters.

In The Last Decade

Eric Y. Umemoto

8 papers receiving 376 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric Y. Umemoto United States 7 214 162 67 41 40 8 395
Su Yu United States 9 222 1.0× 118 0.7× 50 0.7× 20 0.5× 22 0.6× 14 485
Ryan Huang United States 8 140 0.7× 87 0.5× 29 0.4× 43 1.0× 20 0.5× 12 291
Roslyn V. Gibbs United Kingdom 12 177 0.8× 112 0.7× 35 0.5× 35 0.9× 60 1.5× 19 444
Jiajia Bi China 13 255 1.2× 84 0.5× 35 0.5× 41 1.0× 42 1.1× 29 499
James J. Mulé United States 4 203 0.9× 133 0.8× 125 1.9× 20 0.5× 18 0.5× 5 351
Yinan Lan United States 5 117 0.5× 182 1.1× 20 0.3× 23 0.6× 55 1.4× 5 443
Melissa J. Brayman United States 8 212 1.0× 207 1.3× 72 1.1× 13 0.3× 14 0.3× 9 449
Alan Y. Hsu United States 14 293 1.4× 213 1.3× 19 0.3× 33 0.8× 24 0.6× 26 541
Stephanie A. Camacho Germany 7 77 0.4× 288 1.8× 64 1.0× 31 0.8× 25 0.6× 8 460
Monika Artinger Germany 6 201 0.9× 43 0.3× 70 1.0× 42 1.0× 57 1.4× 6 411

Countries citing papers authored by Eric Y. Umemoto

Since Specialization
Citations

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

Fields of papers citing papers by Eric Y. Umemoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric Y. Umemoto. 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 Eric Y. Umemoto. The network helps show where Eric Y. Umemoto may publish in the future.

Co-authorship network of co-authors of Eric Y. Umemoto

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

All Works

8 of 8 papers shown
1.
Umemoto, Eric Y., Mark Speck, Lori M. N. Shimoda, et al.. (2014). Single-walled carbon nanotube exposure induces membrane rearrangement and suppression of receptor-mediated signalling pathways in model mast cells. Toxicology Letters. 229(1). 198–209. 16 indexed citations
2.
Shimoda, Lori M. N., et al.. (2014). Beyond apoptosis: The mechanism and function of phosphatidylserine asymmetry in the membrane of activating mast cells. PubMed. 4(4-5). 127–137. 48 indexed citations
3.
Guo, Zhiyong, Myoung Ho Jang, Kazuhiro Otani, et al.. (2008). CD4+CD25+ regulatory T cells in the small intestinal lamina propria show an effector/memory phenotype. International Immunology. 20(3). 307–315. 44 indexed citations
4.
Tanaka, Takashi, Kazuo Tohya, Kazuhiro Otani, et al.. (2007). Plasmacytoid dendritic cells employ multiple cell adhesion molecules sequentially to interact with high endothelial venule cells - molecular basis of their trafficking to lymph nodes. International Immunology. 19(9). 1031–1037. 21 indexed citations
5.
Umemoto, Eric Y., James J. Brokaw, Marc Dupuis, & Donald M. McDonald. (2002). Rapid changes in shape and number of MHC class II expressing cells in rat airways after Mycoplasma pulmonis infection. Cellular Immunology. 220(2). 107–115. 4 indexed citations
6.
Dahlqvist, Åke, Eric Y. Umemoto, James J. Brokaw, Marc Dupuis, & Donald M. McDonald. (1999). Tissue Macrophages Associated with Angiogenesis in Chronic Airway Inflammation in Rats. American Journal of Respiratory Cell and Molecular Biology. 20(2). 237–247. 25 indexed citations
7.
Brokaw, James J., Gary W. White, Peter Bałuk, et al.. (1998). Glucocorticoid-Induced Apoptosis of Dendritic Cells in the Rat Tracheal Mucosa. American Journal of Respiratory Cell and Molecular Biology. 19(4). 598–605. 62 indexed citations
8.
McLean, J W, Peter Bałuk, Patrick Bolton, et al.. (1997). Organ-specific endothelial cell uptake of cationic liposome-DNA complexes in mice. American Journal of Physiology-Heart and Circulatory Physiology. 273(1). H387–H404. 175 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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