Mendy Miller

1.4k total citations
21 papers, 770 citations indexed

About

Mendy Miller is a scholar working on Immunology, Molecular Biology and Cancer Research. According to data from OpenAlex, Mendy Miller has authored 21 papers receiving a total of 770 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 8 papers in Molecular Biology and 6 papers in Cancer Research. Recurrent topics in Mendy Miller's work include Immune Cell Function and Interaction (5 papers), Cancer Genomics and Diagnostics (5 papers) and T-cell and B-cell Immunology (5 papers). Mendy Miller is often cited by papers focused on Immune Cell Function and Interaction (5 papers), Cancer Genomics and Diagnostics (5 papers) and T-cell and B-cell Immunology (5 papers). Mendy Miller collaborates with scholars based in United States, Japan and Canada. Mendy Miller's co-authors include Paul Bryce, Yang‐Xin Fu, Stephen J. Galli, Mindy Tsai, Ichiro Miyajima, Hans C. Oettgen, Gregory L. Stahl, Jon A. Buras, Hui Zhao and Yuanyuan Xu and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and Immunity.

In The Last Decade

Mendy Miller

19 papers receiving 763 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mendy Miller United States 14 466 233 125 114 98 21 770
Helga D. Manthey Germany 12 719 1.5× 257 1.1× 62 0.5× 82 0.7× 91 0.9× 15 1.0k
Jun‐Ichi Masuyama Japan 15 424 0.9× 243 1.0× 76 0.6× 67 0.6× 186 1.9× 33 896
Eveliina Ihanus Finland 9 342 0.7× 223 1.0× 93 0.7× 97 0.9× 68 0.7× 11 820
Asuka Inoue Japan 17 331 0.7× 169 0.7× 42 0.3× 55 0.5× 147 1.5× 41 691
Shunyou Gong United States 10 693 1.5× 321 1.4× 74 0.6× 98 0.9× 269 2.7× 32 1.0k
Diego Muilenburg United States 10 175 0.4× 150 0.6× 140 1.1× 74 0.6× 118 1.2× 15 604
Eva J.A. van Wanrooij Netherlands 13 579 1.2× 304 1.3× 53 0.4× 58 0.5× 146 1.5× 14 881
Eugene S. Medlock United States 13 487 1.0× 302 1.3× 113 0.9× 38 0.3× 187 1.9× 25 878
Saritha Kusam United States 11 590 1.3× 350 1.5× 71 0.6× 157 1.4× 193 2.0× 17 1.0k
Soon Ha Kim South Korea 15 236 0.5× 315 1.4× 33 0.3× 83 0.7× 203 2.1× 30 740

Countries citing papers authored by Mendy Miller

Since Specialization
Citations

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

Fields of papers citing papers by Mendy Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mendy Miller

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

All Works

20 of 20 papers shown
1.
Li, Ruitong, Jean-Baptiste Alberge, Junko Tsuji, et al.. (2025). Numbat-multiome: inferring copy number variations by combining RNA and chromatin accessibility information from single-cell data. Briefings in Bioinformatics. 26(5).
2.
3.
Haradhvala, Nicholas J., Jean-Baptiste Alberge, Romanos Sklavenitis‐Pistofidis, et al.. (2022). Single cell characterization of myeloma and its precursor conditions reveals transcriptional signatures of early tumorigenesis. Nature Communications. 13(1). 7040–7040. 31 indexed citations
4.
Akiyama, Yo, Yifat Geffen, Shankara Anand, et al.. (2022). Abstract 794: Pan-cancer proteogenomic analysis reveals functional mechanisms underlying DNA repair deficiencies. Cancer Research. 82(12_Supplement). 794–794. 1 indexed citations
5.
Roh, Whijae, Yifat Geffen, Hongui Cha, et al.. (2022). High-Resolution Profiling of Lung Adenocarcinoma Identifies Expression Subtypes with Specific Biomarkers and Clinically Relevant Vulnerabilities. Cancer Research. 82(21). 3917–3931. 19 indexed citations
6.
Ben‐Hamo, Rotem, A. Berger, Nancy Gavert, et al.. (2020). Predicting and affecting response to cancer therapy based on pathway-level biomarkers. Nature Communications. 11(1). 3296–3296. 52 indexed citations
7.
Hsu, Chia‐Lin, Krishan D. Chhiba, Rebecca A. Krier-Burris, et al.. (2020). Allergic inflammation is initiated by IL-33–dependent crosstalk between mast cells and basophils. PLoS ONE. 15(1). e0226701–e0226701. 27 indexed citations
8.
Hess, Julian M., André Bernards, Jaegil Kim, et al.. (2019). Passenger Hotspot Mutations in Cancer. Cancer Cell. 36(3). 288–301.e14. 47 indexed citations
9.
Wechsler, Joshua B., András Szabó, Rebecca A. Krier-Burris, et al.. (2018). Histamine drives severity of innate inflammation via histamine 4 receptor in murine experimental colitis. Mucosal Immunology. 11(3). 861–870. 51 indexed citations
10.
Taylor‐Weiner, Amaro, Chip Stewart, Thomas J. Giordano, et al.. (2018). DeTiN: overcoming tumor-in-normal contamination. Nature Methods. 15(7). 531–534. 27 indexed citations
11.
Yang, Xuanming, et al.. (2014). A BTLA-Mediated Bait and Switch Strategy Permits Listeria Expansion in CD8α+ DCs to Promote Long-Term T Cell Responses. Cell Host & Microbe. 16(1). 68–80. 11 indexed citations
12.
Miller, Mendy, Yonglian Sun, & Yang‐Xin Fu. (2009). Cutting Edge: B and T Lymphocyte Attenuator Signaling on NKT Cells Inhibits Cytokine Release and Tissue Injury in Early Immune Responses. The Journal of Immunology. 183(1). 32–36. 42 indexed citations
13.
Sun, Yonglian, Nicholas K. Brown, Matthew J. Ruddy, et al.. (2009). B and T Lymphocyte Attenuator Tempers Early Infection Immunity. The Journal of Immunology. 183(3). 1946–1951. 46 indexed citations
14.
Wang, Yugang, Mingzhao Zhu, Mendy Miller, & Yang‐Xin Fu. (2009). Immunoregulation by tumor necrosis factor superfamily member LIGHT. Immunological Reviews. 229(1). 232–243. 34 indexed citations
15.
Brown, Nicholas K., Yonglian Sun, Mendy Miller, & Yang‐Xin Fu. (2009). B and T lymphocyte attenuator tempers early infection immunity (133.6). The Journal of Immunology. 182(1_Supplement). 133.6–133.6. 1 indexed citations
16.
Bryce, Paul, Mendy Miller, Ichiro Miyajima, et al.. (2004). Immune Sensitization in the Skin Is Enhanced by Antigen-Independent Effects of IgE. Immunity. 20(4). 381–392. 155 indexed citations
17.
Vivarelli, Marina, et al.. (2004). RIP Links TLR4 to Akt and Is Essential for Cell Survival in Response to LPS Stimulation. The Journal of Experimental Medicine. 200(3). 399–404. 60 indexed citations
18.
Stahl, Gregory L., Yuanyuan Xu, Liming Hao, et al.. (2003). Role for the Alternative Complement Pathway in Ischemia/Reperfusion Injury. American Journal Of Pathology. 162(2). 449–455. 142 indexed citations
19.
Zhao, Hui, et al.. (2003). Anoxia and reoxygenation of human endothelial cells decreases ceramide glucosyltransferase expression and activates caspases. The FASEB Journal. 17(6). 723–724. 17 indexed citations
20.
Miller, Mendy, et al.. (1988). Autoimmune CD4+ T cells interfere with immune tolerance to a thymic-independent antigen.. The Journal of Immunology. 140(12). 4108–4114. 1 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026