Gila Lithwick‐Yanai

1.8k citations
11 papers · 902 indexed · 1 hit paper · h-index 9
Topics
Cancer-related molecular mechanisms research (6 papers)MicroRNA in disease regulation (6 papers)Single-cell and spatial transcriptomics (3 papers)

In The Last Decade

Gila Lithwick‐Yanai

11 papers receiving 891 citations

Hit Papers

Mapping information-rich genotype-phenotype landscapes wi...2022202620232024202250100150200250

Peers

Gila Lithwick‐Yanai
Comparison fields: 5 of 73
  • Molecular Biology 784
  • Cancer Research 523
  • Oncology 84
  • Immunology 50
  • Genetics 45
Replace Fabiana Lüönd with:
Fabiana Lüönd Switzerland
Duanchen Sun China
Dorothee Deckbar Germany
Tod D. Casasent United States
Anna K. Unruh United States
Vin Yee Chung Singapore
Woosung Chung South Korea
Koutarou Nishimura Japan
Ryan T. Davis United States
Reuben Moncada United States
Gila Lithwick‐Yanai relative to Fabiana Lüönd Switzerland Fabiana Lüönd's profile →
Citations per field
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Fabiana Lüönd · 1×
Citations per year

Countries citing papers authored by Gila Lithwick‐Yanai

Since Specialization
Citations

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

Fields of papers citing papers by Gila Lithwick‐Yanai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gila Lithwick‐Yanai. 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 Gila Lithwick‐Yanai. The network helps show where Gila Lithwick‐Yanai may publish in the future.

Co-authorship network of co-authors of Gila Lithwick‐Yanai

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 5
2
Mapping information-rich genotype-phenotype landscapes with genome-scale Perturb-seqbreakdown →
253
3 24
4 5
5 13
6 96
7 16
8 103
9 71
10 122
11 194

About Gila Lithwick‐Yanai

Gila Lithwick‐Yanai is a scholar working on Cancer Research, Biophysics and Molecular Biology, having authored 11 papers that have together received 902 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), MicroRNA in disease regulation (6 papers) and Single-cell and spatial transcriptomics (3 papers). The work is most often cited by research in Cancer Research (523 citations), Molecular Biology (784 citations) and Biophysics (41 citations). Gila Lithwick‐Yanai has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Gideon Rechavi, Gopal Pandi, Hilah Gal, Zvi Ram, Ninette Amariglio, Andrew A. Kanner, David Givol, Michal Kushnir, Florian C. Oberstrass and Doron Lipson. Their work appears in journals such as Cell, Nucleic Acids Research and Journal of Clinical Oncology.

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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