Laura Islas

8 papers receiving 408 citations

Laura Islas's Hit Papers

High-Throughput Screening Enhances Kidney Organoid Differentiation from Human Pluripotent Stem Cells and Enables Automated Multidimensional Phenotyping 2018 · 329 citations
3290+2+5Years since publication100200300

Peers

Laura Islas
Comparison fields: 5 of 74
  • Molecular Biology 299
  • Oncology 91
  • Biomedical Engineering 132
  • Nephrology 19
  • Pulmonary and Respiratory Medicine 77
Replace Anna Baccei with:
Anna Baccei United States
Marianne K. Vormann Netherlands
Sajina Shakya United States
Kristen Roberts United States
Qinghua Huang China
Bowen Xu China
Takahide Aburatani Japan
Liwei Jiang United States
Ruoyu Jiang China
Laura Islas relative to Anna Baccei United States Anna Baccei's profile →
Citations per field
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Citations per year

Countries citing papers authored by Laura Islas

Since Specialization
Citations

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

Fields of papers citing papers by Laura Islas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1
High-Throughput Screening Enhances Kidney Organoid Differentiation from Human Pluripotent Stem Cells and Enables Automated Multidimensional Phenotyping
Hit paper breakdown →
2018329
2 202140
3 199531
4 20195
5 20194
6 20243
7 20252
8 20151
9 20250

About Laura Islas

Laura Islas is a scholar working on Immunology, Computer Networks and Communications, Molecular Biology, Urban Studies and Pathology and Forensic Medicine, having authored 9 papers that have together received 415 indexed citations. Recurring topics across this work include Latin American Urban Studies (1 paper), Lymphoma Diagnosis and Treatment (1 paper), Water Quality Monitoring Technologies (1 paper), Sensor Technology and Measurement Systems (1 paper), Analytical Chemistry and Chromatography (1 paper), Reproductive System and Pregnancy (1 paper), Renal and related cancers (1 paper) and COVID-19 Impact on Reproduction (1 paper). The work is most often cited by research in Molecular Biology (299 citations), Oncology (91 citations), Biomedical Engineering (132 citations), Nephrology (19 citations) and Pulmonary and Respiratory Medicine (77 citations). Laura Islas has collaborated with scholars based in United States, Mexico and Spain. Frequent co-authors include Stefan Czerniecki, Jonathan Himmelfarb, Rajasree Menon, Linh M. Tran, Neal Paragas, Yong Kyun Kim, Jeffrey W. Pippin, Matthias Kretzler, Ramila E. Gulieva and Randall T. Moon. Their work appears in journals such as Cell stem cell, The Journal of Antibiotics, The Journal of Immunology, Proceedings of the National Academy of Sciences and Cell Reports Medicine.

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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