Yaron Carmi

7.0k total citations · 1 hit paper
39 papers, 4.8k citations indexed

About

Yaron Carmi is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Yaron Carmi has authored 39 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Immunology, 15 papers in Molecular Biology and 14 papers in Oncology. Recurrent topics in Yaron Carmi's work include Immunotherapy and Immune Responses (16 papers), Immune Cell Function and Interaction (14 papers) and T-cell and B-cell Immunology (10 papers). Yaron Carmi is often cited by papers focused on Immunotherapy and Immune Responses (16 papers), Immune Cell Function and Interaction (14 papers) and T-cell and B-cell Immunology (10 papers). Yaron Carmi collaborates with scholars based in Israel, United States and Netherlands. Yaron Carmi's co-authors include Ron N. Apte, Elena Voronov, Peleg Rider, Malka R. White, Charles A. Dinarello, Shahar Dotan, Idan Cohen, Edgar G. Engleman, Matthew H. Spitzer and Tyler R. Prestwood and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Yaron Carmi

38 papers receiving 4.7k citations

Hit Papers

Systemic Immunity Is Required for Effective Cancer Immuno... 2017 2026 2020 2023 2017 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yaron Carmi Israel 26 2.5k 1.8k 1.8k 510 397 39 4.8k
Chiara Porta Italy 27 3.6k 1.4× 1.9k 1.1× 2.0k 1.1× 890 1.7× 421 1.1× 45 5.8k
Fiona J. Pixley United States 32 2.2k 0.9× 2.0k 1.1× 1.6k 0.9× 589 1.2× 737 1.9× 51 5.4k
Mikael C. I. Karlsson Sweden 39 3.4k 1.3× 1.9k 1.1× 1.1k 0.6× 593 1.2× 295 0.7× 104 5.4k
Michael V. Volin United States 39 1.6k 0.6× 1.7k 0.9× 1.4k 0.8× 421 0.8× 271 0.7× 69 4.9k
Michael D. Rosenblum United States 36 4.0k 1.6× 1.4k 0.8× 2.2k 1.2× 298 0.6× 377 0.9× 74 6.5k
Kenji Chamoto Japan 35 2.6k 1.0× 1.0k 0.6× 2.0k 1.2× 393 0.8× 261 0.7× 85 4.4k
Zvi Granot Israel 33 2.8k 1.1× 1.9k 1.0× 1.9k 1.1× 533 1.0× 235 0.6× 58 5.5k
Amanda C. Poholek United States 30 4.2k 1.6× 1.3k 0.7× 1.4k 0.8× 748 1.5× 400 1.0× 49 5.9k
Jianxun Song United States 32 2.1k 0.8× 1.2k 0.7× 1.1k 0.6× 358 0.7× 427 1.1× 94 3.8k
Jennifer D. Wu United States 38 3.8k 1.5× 1.5k 0.8× 2.6k 1.5× 596 1.2× 334 0.8× 77 6.2k

Countries citing papers authored by Yaron Carmi

Since Specialization
Citations

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

Fields of papers citing papers by Yaron Carmi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaron Carmi

This figure shows the co-authorship network connecting the top 25 collaborators of Yaron Carmi. A scholar is included among the top collaborators of Yaron Carmi 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 Yaron Carmi. Yaron Carmi 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
2.
Milyavsky, Michael, Shahar Dotan, Claudia Waskow, et al.. (2023). T Cells Expressing a Modified FcγRI Exert Antibody-Dependent Cytotoxicity and Overcome the Limitations of CAR T-cell Therapy against Solid Tumors. Cancer Immunology Research. 11(6). 792–809. 2 indexed citations
3.
Nahmad, Alessio D., Cícera R. Lazzarotto, Talia Kustin, et al.. (2022). In vivo engineered B cells secrete high titers of broadly neutralizing anti-HIV antibodies in mice. Nature Biotechnology. 40(8). 1241–1249. 52 indexed citations
4.
Netanely, Dvir, Ron Shamir, Rachel Blau, et al.. (2020). Melanoma-Secreted Lysosomes Trigger Monocyte-Derived Dendritic Cell Apoptosis and Limit Cancer Immunotherapy. Cancer Research. 80(10). 1942–1956. 25 indexed citations
5.
Nahmad, Alessio D., Yuval Raviv, Miriam Horovitz‐Fried, et al.. (2020). Engineered B cells expressing an anti-HIV antibody enable memory retention, isotype switching and clonal expansion. Nature Communications. 11(1). 5851–5851. 52 indexed citations
6.
Allen, Breanna M., Kamir J. Hiam-Galvez, Cassandra E. Burnett, et al.. (2020). Systemic dysfunction and plasticity of the immune macroenvironment in cancer models. Nature Medicine. 26(7). 1125–1134. 233 indexed citations
7.
Wine, Yariv, Haim Gutman, Alexander Tsivian, et al.. (2019). A distinct subset of FcγRI-expressing Th1 cells exert antibody-mediated cytotoxic activity. Journal of Clinical Investigation. 129(10). 4151–4164. 7 indexed citations
9.
Meger, Michelle Nascimento, Sahar Hiram‐Bab, Tamar Liron, et al.. (2018). Mechanism and Prevention of Titanium Particle-Induced Inflammation and Osteolysis. Frontiers in Immunology. 9. 2963–2963. 112 indexed citations
10.
Spitzer, Matthew H., Yaron Carmi, Nathan E. Reticker-Flynn, et al.. (2017). Systemic Immunity Is Required for Effective Cancer Immunotherapy. Cell. 168(3). 487–502.e15. 687 indexed citations breakdown →
11.
Carmi, Yaron, Tyler R. Prestwood, Matthew H. Spitzer, et al.. (2016). Akt and SHP-1 are DC-intrinsic checkpoints for tumor immunity. JCI Insight. 1(18). e89020–e89020. 20 indexed citations
12.
Rider, Peleg, Yaron Carmi, Rami Yossef, et al.. (2015). IL-1 Receptor Antagonist Chimeric Protein: Context-Specific and Inflammation-Restricted Activation. The Journal of Immunology. 195(4). 1705–1712. 10 indexed citations
13.
Segal, Ehud, Tyler R. Prestwood, Wouter A. van der Linden, et al.. (2015). Detection of Intestinal Cancer by Local, Topical Application of a Quenched Fluorescence Probe for Cysteine Cathepsins. Chemistry & Biology. 22(1). 148–158. 69 indexed citations
14.
Voronov, Elena, Yaron Carmi, & Ron N. Apte. (2014). The role IL-1 in tumor-mediated angiogenesis. Frontiers in Physiology. 5. 114–114. 186 indexed citations
15.
Nov, Ori, Hagit Shapiro, Tanya Tarnovscki, et al.. (2013). Interleukin-1β Regulates Fat-Liver Crosstalk in Obesity by Auto-Paracrine Modulation of Adipose Tissue Inflammation and Expandability. PLoS ONE. 8(1). e53626–e53626. 129 indexed citations
16.
Fuchs, Yaron, Mona Abed, Simona Zisman‐Rozen, et al.. (2012). Sef Is an Inhibitor of Proinflammatory Cytokine Signaling, Acting by Cytoplasmic Sequestration of NF-κB. Developmental Cell. 23(3). 611–623. 25 indexed citations
17.
Addadi, Yoseph, Neta Moskovits, Dorit Granot, et al.. (2010). p53 Status in Stromal Fibroblasts Modulates Tumor Growth in an SDF1-Dependent Manner. Cancer Research. 70(23). 9650–9658. 88 indexed citations
18.
Margalit, Alon, et al.. (2006). Induction of Antitumor Immunity by CTL Epitopes Genetically Linked to Membrane-Anchored β2-Microglobulin. The Journal of Immunology. 176(1). 217–224. 17 indexed citations
19.
Apte, Ron N., Shahar Dotan, Moshe Elkabets, et al.. (2006). The involvement of IL-1 in tumorigenesis, tumor invasiveness, metastasis and tumor-host interactions. Cancer and Metastasis Reviews. 25(3). 387–408. 482 indexed citations
20.
Carmi, Yaron, Gal Cafri, Esther Tzehoval, et al.. (2005). Membrane-Anchored β2-Microglobulin Stabilizes a Highly Receptive State of MHC Class I Molecules. The Journal of Immunology. 174(4). 2116–2123. 30 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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