Jorge Sánchez

424 citations
3 papers · 234 · 1 hit paper · h-index 2

Impact in

Papers in

Jorge Sánchez

2 papers receiving 232 citations

Jorge Sánchez's Hit Papers

A global metagenomic map of urban microbiomes and antimicrobial resistance 2021 · 233 citations
2330+1+3Years since publication50100150200

Peers

Jorge Sánchez
Comparison fields: 5 of 62
  • Molecular Medicine 31
  • Applied Microbiology and Biotechnology 11
  • Pollution 52
  • General Dentistry 4
  • Ecology 62
Replace Kaisei Sato with:
Kaisei Sato Japan
Mauricio Moldes Spain
Iqra Faiz United States
Takumi Togashi Japan
Ante Peros United States
Avigdor Nosrati United States
Nao Kato Japan
Salama Chaker United States
Kaung Myat San United States
Isabella K. T. M. Takenaka Brazil
Jorge Sánchez relative to Kaisei Sato Japan Kaisei Sato's profile →
Citations per field
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Kaisei Sato · 1×
Citations per year

Countries citing papers authored by Jorge Sánchez

Since Specialization
Citations

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

Fields of papers citing papers by Jorge Sánchez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

3 of 3 papers shown
#Work
1
A global metagenomic map of urban microbiomes and antimicrobial resistance
Hit paper breakdown →
2021233
2 20221
3 20240

About Jorge Sánchez

Jorge Sánchez is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition, Ecology and Artificial Intelligence, having authored 3 papers that have together received 234 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (1 paper), Domain Adaptation and Few-Shot Learning (1 paper), Breast Cancer Treatment Studies (1 paper), Cancer Genomics and Diagnostics (1 paper), Advanced Breast Cancer Therapies (1 paper), Multimodal Machine Learning Applications (1 paper), Bacteriophages and microbial interactions (1 paper) and COVID-19 diagnosis using AI (1 paper). The work is most often cited by research in Molecular Medicine (31 citations), Applied Microbiology and Biotechnology (11 citations), Pollution (52 citations), General Dentistry (4 citations) and Ecology (62 citations). Jorge Sánchez has collaborated with scholars based in Vietnam, Brazil and Türkiye. Frequent co-authors include Francesca De Filippis, Emmanuel F. Mongodin, David Páez-Espino, Kyrylo Pyrshev, Xinzhao Tong, Gabriel Figueroa, Kou Takahashi, Klas I. Udekwu, Laurie Casalot and Danilo Ercolini. Their work appears in journals such as Cell, Current Oncology and 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

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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