Gil Metser

581 citations
11 papers · 335 · h-index 8

Impact in

    • Genomics and Chromatin Dynamics
    • RNA Research and Splicing
    • CRISPR and Genetic Engineering
    • RNA and protein synthesis mechanisms
    • Epigenetics and DNA Methylation
    • Protein Degradation and Inhibitors
    • RNA modifications and cancer

Papers in

    • RNA Research and Splicing 2
    • Ubiquitin and proteasome pathways 1
    • Glycosylation and Glycoproteins Research 1
    • Cytokine Signaling Pathways and Interactions 2
    • Peptidase Inhibition and Analysis 1

Gil Metser

10 papers receiving 333 citations

Peers

Gil Metser
Comparison fields: 5 of 51
  • Molecular Biology 206
  • Immunology 48
  • Cancer Research 26
  • Oncology 44
  • Genetics 39
Replace Tomoka Nakamura with:
Tomoka Nakamura United States
Igotz Delgado Spain
Hongshang Chu China
Andrea Björkman Sweden
Sara Hildebrand United States
Suhas Darekar Sweden
Fiona Norris Australia
Jiayu Zhang China
Dewajani Purnomosari Indonesia
Ting Fu United States
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Citations per field
00.5×1.5×
Tomoka Nakamura · 1×
Citations per year

Countries citing papers authored by Gil Metser

Since Specialization
Citations

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

Fields of papers citing papers by Gil Metser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Gil Metser, 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 Gil Metser Line = papers co-authored together Gil Metser links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2016198
2 201537
3 201827
4 202124
5 202215
6 201713
7 202210
8 20187
9 20183
10 20221
11 20240

About Gil Metser

Gil Metser is a scholar working on Molecular Biology, Oncology, Surgery, Immunology and Cardiology and Cardiovascular Medicine, having authored 11 papers that have together received 335 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (2 papers), RNA Research and Splicing (2 papers), Pharmaceutical Practices and Patient Outcomes (1 paper), Ubiquitin and proteasome pathways (1 paper), Glycosylation and Glycoproteins Research (1 paper), Immunotherapy and Immune Responses (1 paper), Telemedicine and Telehealth Implementation (1 paper) and Peptidase Inhibition and Analysis (1 paper). The work is most often cited by research in Molecular Biology (206 citations), Immunology (48 citations), Cancer Research (26 citations), Oncology (44 citations) and Genetics (39 citations). Gil Metser has collaborated with scholars based in United States, Guinea-Bissau and Austria. Frequent co-authors include Lothar Hennighausen, Kyung Hyun Yoo, Ha Youn Shin, Chaochen Wang, Michaela Willi, Xianke Zeng, Ian M. Kronish, Siqin Ye, Nadia Liyanage-Don and Sumin Oh. Their work appears in journals such as International Journal of Oncology, Orthopaedics & Traumatology Surgery & Research, Frontiers in Immunology, European Heart Journal and Spine.

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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