Shaked Afik

2.1k total citations · 1 hit paper
8 papers, 738 citations indexed

About

Shaked Afik is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Shaked Afik has authored 8 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Genetics and 3 papers in Immunology. Recurrent topics in Shaked Afik's work include Single-cell and spatial transcriptomics (2 papers), T-cell and B-cell Immunology (2 papers) and Immune Cell Function and Interaction (2 papers). Shaked Afik is often cited by papers focused on Single-cell and spatial transcriptomics (2 papers), T-cell and B-cell Immunology (2 papers) and Immune Cell Function and Interaction (2 papers). Shaked Afik collaborates with scholars based in United States, Israel and United Kingdom. Shaked Afik's co-authors include Ofir Cohen, Yoav Charpak‐Amikam, Gal Ofir, Eyal Weinstock, Tamara Goldfarb, Hila Sberro, Shany Doron, Rotem Sorek, Manuel Garber and Alper Küçükural and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and The EMBO Journal.

In The Last Decade

Shaked Afik

8 papers receiving 733 citations

Hit Papers

BREX is a novel phage resistance system widespread in mic... 2014 2026 2018 2022 2014 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shaked Afik United States 8 428 272 205 190 89 8 738
Anton Svetlanov United States 12 362 0.8× 36 0.1× 184 0.9× 110 0.6× 38 0.4× 13 488
Victoria Morrison United States 10 678 1.6× 45 0.2× 964 4.7× 137 0.7× 100 1.1× 14 1.4k
Nathalie Mouchel United Kingdom 12 167 0.4× 81 0.3× 241 1.2× 21 0.1× 41 0.5× 17 567
Alexandra Kessler Germany 11 324 0.8× 206 0.8× 82 0.4× 77 0.4× 20 0.2× 13 476
Rixun Fang United States 11 445 1.0× 67 0.2× 248 1.2× 120 0.6× 35 0.4× 17 739
Jong-Yoon Chun South Korea 12 330 0.8× 51 0.2× 59 0.3× 55 0.3× 23 0.3× 16 681
K. Margaretten United States 4 258 0.6× 47 0.2× 68 0.3× 75 0.4× 8 0.1× 9 581
Sabine Berg Germany 16 377 0.9× 15 0.1× 97 0.5× 105 0.6× 73 0.8× 29 643
Vijay Koya United States 9 439 1.0× 14 0.1× 100 0.5× 92 0.5× 43 0.5× 11 618
Michael Fogel United States 9 347 0.8× 179 0.7× 384 1.9× 13 0.1× 11 0.1× 11 716

Countries citing papers authored by Shaked Afik

Since Specialization
Citations

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

Fields of papers citing papers by Shaked Afik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaked Afik

This figure shows the co-authorship network connecting the top 25 collaborators of Shaked Afik. A scholar is included among the top collaborators of Shaked Afik 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 Shaked Afik. Shaked Afik 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.
Afik, Shaked, et al.. (2019). Reconstructing B-cell receptor sequences from short-read single-cell RNA sequencing with BRAPeS. Life Science Alliance. 2(4). e201900371–e201900371. 9 indexed citations
2.
Donnard, Elisa, Pranitha Vangala, Shaked Afik, et al.. (2018). Comparative Analysis of Immune Cells Reveals a Conserved Regulatory Lexicon. Cell Systems. 6(3). 381–394.e7. 14 indexed citations
3.
Afik, Shaked, Osnat Bartok, Maxim N. Artyomov, et al.. (2017). Defining the 5΄ and 3΄ landscape of the Drosophila transcriptome with Exo-seq and RNaseH-seq. Nucleic Acids Research. 45(11). e95–e95. 8 indexed citations
4.
Afik, Shaked, Kathleen B. Yates, Kevin Bi, et al.. (2017). Targeted reconstruction of T cell receptor sequence from single cell RNA-seq links CDR3 length to T cell differentiation state. Nucleic Acids Research. 45(16). e148–e148. 69 indexed citations
5.
Lerner, Immanuel, Osnat Bartok, Jérôme S. Menet, et al.. (2015). Clk post-transcriptional control denoises circadian transcription both temporally and spatially. Nature Communications. 6(1). 7056–7056. 34 indexed citations
6.
Stelzer, Yonatan, Shiran Bar, Osnat Bartok, et al.. (2015). Differentiation of Human Parthenogenetic Pluripotent Stem Cells Reveals Multiple Tissue- and Isoform-Specific Imprinted Transcripts. Cell Reports. 11(2). 308–320. 17 indexed citations
7.
Blodgett, David M., Anetta Nowosielska, Shaked Afik, et al.. (2015). Novel Observations From Next-Generation RNA Sequencing of Highly Purified Human Adult and Fetal Islet Cell Subsets. Diabetes. 64(9). 3172–3181. 227 indexed citations
8.
Goldfarb, Tamara, Hila Sberro, Eyal Weinstock, et al.. (2014). BREX is a novel phage resistance system widespread in microbial genomes. The EMBO Journal. 34(2). 169–183. 360 indexed citations breakdown →

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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