Etai Jacob

1.0k citations
19 papers · 628 · h-index 10

Impact in

    • interferon and immune responses
    • RNA regulation and disease
    • RNA Research and Splicing
    • RNA and protein synthesis mechanisms
    • RNA modifications and cancer
    • Protein Structure and Dynamics
    • CRISPR and Genetic Engineering

Papers in

    • Protein Structure and Dynamics 2
    • RNA Research and Splicing 2
    • RNA and protein synthesis mechanisms 2
    • Cancer-related molecular mechanisms research 3
    • Cancer Genomics and Diagnostics 2

Etai Jacob

19 papers receiving 622 citations

Peers

Etai Jacob
Comparison fields: 5 of 71
  • Immunology 188
  • Molecular Biology 449
  • Cancer Research 67
  • Cell Biology 41
  • Oncology 63
Replace Arnhild Grothey with:
Arnhild Grothey United Kingdom
Aurélie Baguet France
Colin W. Garvie United States
Javier A. Alfaro Poland
Julio E. Celis Denmark
Karim Rafie United Kingdom
Marta Taulés Spain
Maiken Søndergaard Kristiansen United Kingdom
Carrie H. Croy United States
Mitra S. Rana United States
Etai Jacob relative to Arnhild Grothey United Kingdom Arnhild Grothey's profile →
Citations per field
00.5×12.3×
Arnhild Grothey · 1×
Citations per year

Countries citing papers authored by Etai Jacob

Since Specialization
Citations

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

Fields of papers citing papers by Etai Jacob

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Etai Jacob, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Etai Jacob Line = papers co-authored together Etai Jacob links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2018296
2 2007101
3 202347
4 202027
5 201923
6 200722
7 201620
8 202517
9 202416
10 202313
11 20259
12 20139
13 20258
14 20157
15 20246
16 20253
17 20242
18 20231
19 20221

About Etai Jacob

Etai Jacob is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Oncology and Artificial Intelligence, having authored 19 papers that have together received 628 indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Cancer-related molecular mechanisms research (3 papers), Cancer Genomics and Diagnostics (2 papers), Protein Structure and Dynamics (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), RNA Research and Splicing (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Immunology (188 citations), Molecular Biology (449 citations), Cancer Research (67 citations), Cell Biology (41 citations) and Oncology (63 citations). Etai Jacob has collaborated with scholars based in United States, Brazil and United Kingdom. Frequent co-authors include Ron Unger, Cheng‐Zhong Zhang, Sadeem Ahmad, Fei Yang, Ji Woo Park, Sun Hur, Xin Mu, Emily Greenwald, Amnon Horovitz and David Pellman. Their work appears in journals such as npj Precision Oncology, Bioinformatics, Nature Communications, Scientific Reports and Cell Reports.

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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