Guy Amit

800 citations
9 papers · 586 · 1 hit paper · h-index 7

Impact in

Papers in

    • Single-cell and spatial transcriptomics 3
    • Gut microbiota and health 3
    • Gene Regulatory Network Analysis 1
    • Genetics, Aging, and Longevity in Model Organisms 1

Guy Amit

9 papers receiving 580 citations

Guy Amit's Hit Papers

Pan-cancer analyses reveal cancer-type-specific fungal ecologies and bacteriome interactions 2022 · 397 citations
3970+1+2Years since publication100200300

Peers

Guy Amit
Comparison fields: 5 of 76
  • Aging 14
  • Biotechnology 48
  • Oncology 119
  • Molecular Biology 324
  • Infectious Diseases 60
Replace Neelendu Dey with:
Neelendu Dey United States
Tal Cohen Israel
Ruby Ponnudurai Germany
Wolfgang C. Kusser Canada
Christian Sebastian Michel Germany
Jamie L. Myers United States
Rainer Schubbert Germany
Jorge de la Barrera Spain
Sean E. Murray United States
My Lien Dao United States
Guy Amit relative to Neelendu Dey United States Neelendu Dey's profile →
Citations per field
00.5×2×3×4×4.8×
Neelendu Dey · 1×
Citations per year

Countries citing papers authored by Guy Amit

Since Specialization
Citations

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

Fields of papers citing papers by Guy Amit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Guy Amit, 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 Guy Amit Line = papers co-authored together Guy Amit links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
Pan-cancer analyses reveal cancer-type-specific fungal ecologies and bacteriome interactions
Hit paper breakdown →
2022397
2 202364
3 202262
4 202033
5 201811
6 20238
7 20237
8 20223
9 20211

About Guy Amit

Guy Amit is a scholar working on Molecular Biology, Aging, Statistical and Nonlinear Physics, Infectious Diseases and Global and Planetary Change, having authored 9 papers that have together received 586 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (3 papers), Gut microbiota and health (3 papers), Antifungal resistance and susceptibility (1 paper), Gene Regulatory Network Analysis (1 paper), Mathematical and Theoretical Epidemiology and Ecology Models (1 paper), Genetics, Aging, and Longevity in Model Organisms (1 paper), Microbial Community Ecology and Physiology (1 paper) and Fungal Infections and Studies (1 paper). The work is most often cited by research in Aging (14 citations), Biotechnology (48 citations), Oncology (119 citations), Molecular Biology (324 citations) and Infectious Diseases (60 citations). Guy Amit has collaborated with scholars based in Israel, United States and China. Frequent co-authors include Amir Bashan, Jonathan H. Friedman, Itzhack Dana, Haim Yosef Cohen, Peter J. Castaldi, Sol Efroni, Orr Levy, Yang‐Yu Liu, Sergey V. Buldyrev and Daqing Li. Their work appears in journals such as Scientific Reports, Physical review. B., Nature Ecology & Evolution, Nature Communications and Physical Review Research.

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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