Ranit Kedmi

2.3k total citations · 1 hit paper
12 papers, 1.3k citations indexed

About

Ranit Kedmi is a scholar working on Molecular Biology, Immunology and Immunology and Allergy. According to data from OpenAlex, Ranit Kedmi has authored 12 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Immunology and 2 papers in Immunology and Allergy. Recurrent topics in Ranit Kedmi's work include RNA Interference and Gene Delivery (5 papers), Immunotherapy and Immune Responses (3 papers) and CRISPR and Genetic Engineering (2 papers). Ranit Kedmi is often cited by papers focused on RNA Interference and Gene Delivery (5 papers), Immunotherapy and Immune Responses (3 papers) and CRISPR and Genetic Engineering (2 papers). Ranit Kedmi collaborates with scholars based in Israel, United States and Germany. Ranit Kedmi's co-authors include Dan Peer, Srinivas Ramishetti, Nuphar Veiga, Daniel Rosenblum, Meir Goldsmith, Mark A. Behlke, Judy Lieberman, Zvi R. Cohen, Dinorah Friedmann‐Morvinski and Ashley M. Jacobi and has published in prestigious journals such as Nature, Nature Communications and ACS Nano.

In The Last Decade

Ranit Kedmi

12 papers receiving 1.3k citations

Hit Papers

CRISPR-Cas9 genome editing using targeted lipid nanoparti... 2020 2026 2022 2024 2020 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ranit Kedmi Israel 9 1.1k 282 253 185 173 12 1.3k
Kelsey L. Swingle United States 19 1.1k 1.0× 287 1.0× 200 0.8× 219 1.2× 248 1.4× 24 1.5k
Faryal F. Mir United States 8 1.4k 1.3× 276 1.0× 304 1.2× 150 0.8× 149 0.9× 8 1.6k
Zhongfeng Ye United States 13 1.1k 1.0× 376 1.3× 186 0.7× 159 0.9× 224 1.3× 18 1.4k
Rakan El‐Mayta United States 19 1.0k 1.0× 240 0.9× 176 0.7× 161 0.9× 302 1.7× 27 1.5k
Cory D. Sago United States 14 1.2k 1.1× 194 0.7× 204 0.8× 149 0.8× 169 1.0× 16 1.4k
Shi Du United States 14 904 0.8× 410 1.5× 172 0.7× 134 0.7× 229 1.3× 23 1.3k
Melissa P. Lokugamage United States 21 1.8k 1.7× 295 1.0× 286 1.1× 212 1.1× 224 1.3× 26 2.1k
Derfogail Delcassian United States 10 913 0.8× 460 1.6× 177 0.7× 171 0.9× 216 1.2× 12 1.3k
Nuphar Veiga Israel 9 851 0.8× 163 0.6× 202 0.8× 144 0.8× 109 0.6× 10 1.0k
Yehui Sun United States 12 826 0.8× 192 0.7× 121 0.5× 197 1.1× 202 1.2× 19 1.1k

Countries citing papers authored by Ranit Kedmi

Since Specialization
Citations

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

Fields of papers citing papers by Ranit Kedmi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ranit Kedmi

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

All Works

12 of 12 papers shown
1.
Dassa, Bareket, et al.. (2025). A coordinated cellular network regulates tolerance to food. Nature. 644(8075). 231–240. 4 indexed citations
2.
Kedmi, Ranit & Dan R. Littman. (2024). Antigen-presenting cells as specialized drivers of intestinal T cell functions. Immunity. 57(10). 2269–2279. 27 indexed citations
3.
Sano, Teruyuki, Takahiro Kageyama, Victoria Fang, et al.. (2021). Redundant cytokine requirement for intestinal microbiota-induced Th17 cell differentiation in draining lymph nodes. Cell Reports. 36(8). 109608–109608. 28 indexed citations
4.
Rosenblum, Daniel, Anna Gutkin, Ranit Kedmi, et al.. (2020). CRISPR-Cas9 genome editing using targeted lipid nanoparticles for cancer therapy. Science Advances. 6(47). 430 indexed citations breakdown →
5.
Veiga, Nuphar, Meir Goldsmith, Daniel Rosenblum, et al.. (2018). Cell specific delivery of modified mRNA expressing therapeutic proteins to leukocytes. Nature Communications. 9(1). 249 indexed citations
6.
Kedmi, Ranit & Dan Peer. (2016). Zooming in on selectins in cancer. Science Translational Medicine. 8(345). 345fs11–345fs11. 7 indexed citations
7.
Ramishetti, Srinivas, Ranit Kedmi, Meir Goldsmith, et al.. (2015). Systemic Gene Silencing in Primary T Lymphocytes Using Targeted Lipid Nanoparticles. ACS Nano. 9(7). 6706–6716. 160 indexed citations
8.
Huang, Lingyan, et al.. (2013). SNP Detection in mRNA in Living Cells Using Allele Specific FRET Probes. PLoS ONE. 8(9). e72389–e72389. 18 indexed citations
9.
Bahat, Anat, et al.. (2013). TAF4b and TAF4 differentially regulate mouse embryonic stem cells maintenance and proliferation. Genes to Cells. 18(3). 225–237. 8 indexed citations
10.
Huang, Lingyan, et al.. (2013). Correction: SNP Detection in mRNA in Living Cells Using Allele Specific FRET Probes. PLoS ONE. 8(11). 2 indexed citations
11.
Kedmi, Ranit, et al.. (2011). Integrin-Targeted Nanoparticles for siRNA Delivery. Methods in molecular biology. 757. 497–507. 9 indexed citations
12.
Kedmi, Ranit, et al.. (2010). The systemic toxicity of positively charged lipid nanoparticles and the role of Toll-like receptor 4 in immune activation. Biomaterials. 31(26). 6867–6875. 407 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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