Florence Husada

522 citations
5 papers · 339 · h-index 5

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 2
    • DNA and Nucleic Acid Chemistry 2
    • RNA Interference and Gene Delivery 2
    • Advanced Biosensing Techniques and Applications 1
    • Drug Transport and Resistance Mechanisms 4

Florence Husada

5 papers receiving 339 citations

Peers

Florence Husada
Comparison fields: 5 of 64
  • Biophysics 67
  • Structural Biology 12
  • Molecular Medicine 28
  • Oncology 96
  • Acoustics and Ultrasonics 3
Replace Marijn de Boer with:
Marijn de Boer Netherlands
Reza Dastvan United States
Azzurra Carlon Italy
Selma Maric Sweden
Parameswaran Hariharan United States
Angela Lauricella United States
Andreas Schedlbauer Spain
Guillaume Mas Switzerland
Alena Siarheyeva Canada
Anindita Gayen India
Florence Husada relative to Marijn de Boer Netherlands Marijn de Boer's profile →
Citations per field
00.5×1.5×1.8×
Marijn de Boer · 1×
Citations per year

Countries citing papers authored by Florence Husada

Since Specialization
Citations

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

Fields of papers citing papers by Florence Husada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Florence Husada, 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 Florence Husada Line = papers co-authored together Florence Husada links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown

About Florence Husada

Florence Husada is a scholar working on Molecular Biology, Oncology, Pharmacology, Virology and Radiology, Nuclear Medicine and Imaging, having authored 5 papers that have together received 339 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (4 papers), Advanced biosensing and bioanalysis techniques (2 papers), DNA and Nucleic Acid Chemistry (2 papers), RNA Interference and Gene Delivery (2 papers), Advanced Fluorescence Microscopy Techniques (1 paper), HIV Research and Treatment (1 paper), Advanced Biosensing Techniques and Applications (1 paper) and Monoclonal and Polyclonal Antibodies Research (1 paper). The work is most often cited by research in Biophysics (67 citations), Structural Biology (12 citations), Molecular Medicine (28 citations), Oncology (96 citations) and Acoustics and Ultrasonics (3 citations). Florence Husada has collaborated with scholars based in Netherlands, Germany and Belgium. Frequent co-authors include Thorben Cordes, Marijn de Boer, Giorgos Gouridis, Gea K. Schuurman‐Wolters, Bert Poolman, Evelyn Ploetz, Shimon Weiss, Eitan Lerner, Johannes Hohlbein and Sangyoon Chung. Their work appears in journals such as eLife, Biochemical Society Transactions, The EMBO Journal, Nature Structural & Molecular Biology and Scientific Reports.

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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