Gershon Celniker

813 citations
10 papers · 583 indexed · h-index 7

Impact in

    • RNA and protein synthesis mechanisms
    • Protein Structure and Dynamics
    • Machine Learning in Bioinformatics
    • RNA Research and Splicing
    • Bacterial Genetics and Biotechnology

Papers in

Gershon Celniker

9 papers receiving 574 citations

Peers

Gershon Celniker
Comparison fields: 5 of 88
  • Molecular Biology 394
  • Genetics 93
  • Infectious Diseases 50
  • Biotechnology 23
  • Cell Biology 39
Replace Peter Hönigschmid with:
Peter Hönigschmid Germany
László Dobson Hungary
László Kaján Hungary
Arun S. Konagurthu Australia
Tobias Hamp Germany
Eduardo López‐Viñas Spain
Aleksandra Gruca Poland
Macha Nikolski France
Pete E. Pascuzzi United States
Harald Vöhringer Germany
Gershon Celniker relative to Peter Hönigschmid Germany Peter Hönigschmid's profile →
Citations per field
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Peter Hönigschmid · 1×
Citations per year

Countries citing papers authored by Gershon Celniker

Since Specialization
Citations

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

Fields of papers citing papers by Gershon Celniker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

10 of 10 papers shown
#Work
1 20233
2 20230
3 20213
4 201824
5 201817
6 201810
7 201520
8 201541
9 2013414
10 200751

About Gershon Celniker

Gershon Celniker is a scholar working on Human-Computer Interaction, Ophthalmology, Artificial Intelligence, Signal Processing and Hematology, having authored 10 papers that have together received 583 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (2 papers), Bacteriophages and microbial interactions (2 papers), Machine Learning in Healthcare (2 papers), Sepsis Diagnosis and Treatment (2 papers), RNA and protein synthesis mechanisms (2 papers), Genomics and Phylogenetic Studies (2 papers), Healthcare Technology and Patient Monitoring (2 papers) and Influenza Virus Research Studies (1 paper). The work is most often cited by research in Molecular Biology (394 citations), Genetics (93 citations), Infectious Diseases (50 citations), Biotechnology (23 citations) and Cell Biology (39 citations). Gershon Celniker has collaborated with scholars based in Israel, United States and France. Frequent co-authors include Fabian Glaser, Tal Pupko, Itay Mayrose, Eric Martz, Haim Ashkenazy, Nir Ben‐Tal, Guy Nimrod, Yael Mandel‐Gutfreund, Shula Shazman and Noam Shomron. Their work appears in journals such as Israel Journal of Chemistry, European Journal Of Haematology, Bioinformatics, IEEE Intelligent Systems and Journal of Medical Genetics.

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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