Ido Yofe

5.2k total citations · 3 hit papers
19 papers, 2.6k citations indexed

About

Ido Yofe is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Ido Yofe has authored 19 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 9 papers in Immunology and 4 papers in Oncology. Recurrent topics in Ido Yofe's work include RNA and protein synthesis mechanisms (6 papers), Immune cells in cancer (5 papers) and Single-cell and spatial transcriptomics (4 papers). Ido Yofe is often cited by papers focused on RNA and protein synthesis mechanisms (6 papers), Immune cells in cancer (5 papers) and Single-cell and spatial transcriptomics (4 papers). Ido Yofe collaborates with scholars based in Israel, Germany and United States. Ido Yofe's co-authors include Ido Amit, Eyal David, Amos Tanay, Diego Adhemar Jaitin, Assaf Weiner, Hadas Keren‐Shaul, Alexander van Oudenaarden, David Lara‐Astiaso, Tomer Meir Salame and Yaniv Lubling and has published in prestigious journals such as Cell, Nucleic Acids Research and Nature Medicine.

In The Last Decade

Ido Yofe

19 papers receiving 2.6k citations

Hit Papers

Dysfunctional CD8 T Cells Form a Proliferative, Dynamical... 2016 2026 2019 2022 2018 2016 2020 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
Ido Yofe Israel 17 1.8k 1.1k 714 291 135 19 2.6k
Raúl Catena Spain 24 1.3k 0.8× 445 0.4× 679 1.0× 459 1.6× 164 1.2× 30 2.2k
Nemanja D. Marjanovic United States 8 2.1k 1.2× 474 0.5× 1.0k 1.5× 590 2.0× 143 1.1× 12 3.0k
Sven Nelander Sweden 26 1.4k 0.8× 208 0.2× 412 0.6× 468 1.6× 98 0.7× 74 2.2k
Manuel Izquierdo Spain 28 1.4k 0.8× 932 0.9× 357 0.5× 374 1.3× 23 0.2× 61 2.2k
Rachael E. Hawtin United States 18 1.3k 0.7× 320 0.3× 645 0.9× 237 0.8× 142 1.1× 53 2.0k
Salvatore J. Coniglio United States 21 1.0k 0.6× 625 0.6× 657 0.9× 326 1.1× 29 0.2× 29 2.3k
Andrew L. Ji United States 8 986 0.6× 282 0.3× 275 0.4× 250 0.9× 117 0.9× 15 1.3k
Eva‐Bettina Bröcker Germany 7 1.5k 0.8× 757 0.7× 1.6k 2.3× 284 1.0× 70 0.5× 8 2.6k
Sydney M. Shaffer United States 15 1.6k 0.9× 230 0.2× 354 0.5× 478 1.6× 228 1.7× 28 2.0k
Hamish W. King United Kingdom 17 2.6k 1.5× 427 0.4× 187 0.3× 851 2.9× 85 0.6× 24 3.0k

Countries citing papers authored by Ido Yofe

Since Specialization
Citations

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

Fields of papers citing papers by Ido Yofe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ido Yofe

This figure shows the co-authorship network connecting the top 25 collaborators of Ido Yofe. A scholar is included among the top collaborators of Ido Yofe 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 Ido Yofe. Ido Yofe 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
1.
Yofe, Ido, Noam Cohen, Tomer Landsberger, et al.. (2023). Spatial and Temporal Mapping of Breast Cancer Lung Metastases Identify TREM2 Macrophages as Regulators of the Metastatic Boundary. Cancer Discovery. 13(12). 2610–2631. 62 indexed citations
2.
Lopez, Romain, Baoguo Li, Hadas Keren‐Shaul, et al.. (2022). DestVI identifies continuums of cell types in spatial transcriptomics data. Nature Biotechnology. 40(9). 1360–1369. 118 indexed citations
3.
Yofe, Ido, Tomer Landsberger, Adam Yalin, et al.. (2022). Anti-CTLA-4 antibodies drive myeloid activation and reprogram the tumor microenvironment through FcγR engagement and type I interferon signaling. Nature Cancer. 3(11). 1336–1350. 41 indexed citations
4.
Yofe, Ido, Rony Dahan, & Ido Amit. (2020). Single-cell genomic approaches for developing the next generation of immunotherapies. Nature Medicine. 26(2). 171–177. 71 indexed citations
5.
Katzenelenbogen, Yonatan, Fadi Sheban, Adam Yalin, et al.. (2020). Coupled scRNA-Seq and Intracellular Protein Activity Reveal an Immunosuppressive Role of TREM2 in Cancer. Cell. 182(4). 872–885.e19. 309 indexed citations breakdown →
6.
Frumkin, Idan, Ido Yofe, Raz Bar‐Ziv, et al.. (2019). Evolution of intron splicing towards optimized gene expression is based on various Cis- and Trans-molecular mechanisms. PLoS Biology. 17(8). e3000423–e3000423. 11 indexed citations
7.
Zait, Yael, Ophir Shani, Hila Doron, et al.. (2019). Melanoma‐derived extracellular vesicles instigate proinflammatory signaling in the metastatic microenvironment. International Journal of Cancer. 145(9). 2521–2534. 67 indexed citations
8.
Giladi, Amir, Franziska Paul, Yaniv Lubling, et al.. (2018). Single-cell characterization of haematopoietic progenitors and their trajectories in homeostasis and perturbed haematopoiesis. Nature Cell Biology. 20(7). 836–846. 223 indexed citations
9.
Li, Hanjie, Anne M. van der Leun, Ido Yofe, et al.. (2018). Dysfunctional CD8 T Cells Form a Proliferative, Dynamically Regulated Compartment within Human Melanoma. Cell. 176(4). 775–789.e18. 659 indexed citations breakdown →
10.
Yofe, Ido, Silvia Chuartzman, Bruce Morgan, et al.. (2017). Pex35 is a regulator of peroxisome abundance. Journal of Cell Science. 130(4). 791–804. 30 indexed citations
11.
Yifrach, Eden, Silvia Chuartzman, Uri Weill, et al.. (2016). Characterization of proteome dynamics during growth in oleate reveals a new peroxisome-targeting receptor. Journal of Cell Science. 129(21). 4067–4075. 47 indexed citations
12.
Jaitin, Diego Adhemar, Assaf Weiner, Ido Yofe, et al.. (2016). Dissecting Immune Circuits by Linking CRISPR-Pooled Screens with Single-Cell RNA-Seq. Cell. 167(7). 1883–1896.e15. 543 indexed citations breakdown →
13.
Busby, Michele, Catherine Li, Yossi Farjoun, et al.. (2016). Systematic comparison of monoclonal versus polyclonal antibodies for mapping histone modifications by ChIP-seq. Epigenetics & Chromatin. 9(1). 49–49. 24 indexed citations
14.
Yofe, Ido, Uri Weill, Matthias Meurer, et al.. (2016). One library to make them all: streamlining the creation of yeast libraries via a SWAp-Tag strategy. Nature Methods. 13(4). 371–378. 130 indexed citations
15.
Yofe, Ido, et al.. (2014). Yeast phospholipid biosynthesis is linked to mRNA localization. Journal of Cell Science. 127(Pt 15). 3373–81. 7 indexed citations
16.
Yofe, Ido, et al.. (2014). Accurate, Model-Based Tuning of Synthetic Gene Expression Using Introns in S. cerevisiae. PLoS Genetics. 10(6). e1004407–e1004407. 27 indexed citations
17.
Cohen, Yifat, Yoel A. Klug, Lazar Dimitrov, et al.. (2014). Peroxisomes are juxtaposed to strategic sites on mitochondria. Molecular BioSystems. 10(7). 1742–1748. 89 indexed citations
18.
Yofe, Ido & Maya Schuldiner. (2014). Primers‐4‐Yeast: a comprehensive web tool for planning primers for Saccharomyces cerevisiae. Yeast. 31(2). 77–80. 36 indexed citations
19.
Zelcbuch, Lior, Niv Antonovsky, Arren Bar‐Even, et al.. (2013). Spanning high-dimensional expression space using ribosome-binding site combinatorics. Nucleic Acids Research. 41(9). e98–e98. 154 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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