Javier Periz

647 citations
14 papers · 440 · h-index 11

Impact in

    • Toxoplasma gondii Research Studies
    • Parasitic Infections and Diagnostics
  • Biophysics top 5%
    • Advanced Fluorescence Microscopy Techniques

Papers in

    • Toxoplasma gondii Research Studies 8
    • Parasitic Infections and Diagnostics 3
    • Advanced biosensing and bioanalysis techniques 3
    • RNA Interference and Gene Delivery 2
    • DNA and Nucleic Acid Chemistry 2

Javier Periz

14 papers receiving 435 citations

Peers

Javier Periz
Comparison fields: 5 of 55
  • Parasitology 173
  • Biophysics 50
  • Structural Biology 10
  • Animal Science and Zoology 69
  • Small Animals 27
Replace A A Lal with:
A A Lal United States
Rebecca L. Lamason United States
Markus Meissner Germany
Jamie Whitelaw United Kingdom
Shrawan Kumar Mageswaran United States
Philippa C. Hawes United Kingdom
Markus Ganter Germany
Jens B. Bosse Germany
Ganesh Srinivasamoorthy United States
Katharina Höhn Germany
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Citations per field
00.5×10×12.5×
A A Lal · 1×
Citations per year

Countries citing papers authored by Javier Periz

Since Specialization
Citations

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

Fields of papers citing papers by Javier Periz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 201081
2 201780
3 201361
4 201337
5 201928
6 200728
7 202227
8 202026
9 201922
10 200518
11 202113
12 20089
13 20139
14 20251

About Javier Periz

Javier Periz is a scholar working on Parasitology, Molecular Biology, Animal Science and Zoology, Epidemiology and Virology, having authored 14 papers that have together received 440 indexed citations. Recurring topics across this work include Toxoplasma gondii Research Studies (8 papers), Advanced biosensing and bioanalysis techniques (3 papers), Coccidia and coccidiosis research (3 papers), Parasitic Infections and Diagnostics (3 papers), Rabies epidemiology and control (2 papers), Cytomegalovirus and herpesvirus research (2 papers), RNA Interference and Gene Delivery (2 papers) and DNA and Nucleic Acid Chemistry (2 papers). The work is most often cited by research in Parasitology (173 citations), Biophysics (50 citations), Structural Biology (10 citations), Animal Science and Zoology (69 citations) and Small Animals (27 citations). Javier Periz has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Achillefs N. Kapanidis, Markus Meissner, Sebastian van de Linde, Ludovic Le Reste, Mario Del Rosario, Stephan Uphoff, Séamus Holden, Mike Heilemann, Fiona M. Tomley and Andrew J. Turberfield. Their work appears in journals such as The Journal of Cell Biology, PLoS Pathogens, Nature Methods, Proceedings of the National Academy of Sciences and Nature Communications.

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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