Liora Haim-Vilmovsky

1.7k citations
15 papers · 1.0k indexed · 1 hit paper · h-index 11
Topics
RNA and protein synthesis mechanisms (5 papers)RNA Research and Splicing (5 papers)IL-33, ST2, and ILC Pathways (3 papers)

In The Last Decade

Liora Haim-Vilmovsky

13 papers receiving 1.0k citations

Hit Papers

Genenames.org: the HGNC resources in 20232022202620232024202250100150200

Peers

Liora Haim-Vilmovsky
Comparison fields: 5 of 94
  • Molecular Biology 620
  • Immunology 364
  • Surgery 177
  • Physiology 83
  • Oncology 69
Replace David J. Huels with:
David J. Huels United Kingdom
Virendra K. Chaudhri United States
Eric Flatter France
Yan Kong China
Kathrin Kläsener Germany
Daniela Amann‐Zalcenstein Australia
Mina Nakama Japan
Masaki Magari Japan
Ivanka Kovalyshyn United States
Koichi Ayukawa Japan
Liora Haim-Vilmovsky relative to David J. Huels United Kingdom David J. Huels's profile →
Citations per field
00.5×2.6×
David J. Huels · 1×
Citations per year

Countries citing papers authored by Liora Haim-Vilmovsky

Since Specialization
Citations

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

Fields of papers citing papers by Liora Haim-Vilmovsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Liora Haim-Vilmovsky. 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 Liora Haim-Vilmovsky. The network helps show where Liora Haim-Vilmovsky may publish in the future.

Co-authorship network of co-authors of Liora Haim-Vilmovsky

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 1
2
Genenames.org: the HGNC resources in 2023breakdown →
212
3 0
4 1
5 94
6 198
7 33
8 43
9 163
10 55
11 112
12 18
13 5
14 72
15 35

About Liora Haim-Vilmovsky

Liora Haim-Vilmovsky is a scholar working on Molecular Biology, Immunology and Genetics, having authored 15 papers that have together received 1.0k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (5 papers), RNA Research and Splicing (5 papers) and IL-33, ST2, and ILC Pathways (3 papers). The work is most often cited by research in Immunology (364 citations), Molecular Biology (620 citations) and Biophysics (28 citations). Liora Haim-Vilmovsky has collaborated with scholars based in United Kingdom, Israel and Austria. Frequent co-authors include Jeffrey E. Gerst, Noga Gadir, Judith Kraut‐Cohen, Sarah A. Teichmann, Andrew N. J. McKenzie, Tamsin E. M. Jones, Ruth L. Seal, Kristian Gray, Susan Tweedie and Elspeth A. Bruford. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Immunity.

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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