Igor Mandric

614 citations
15 papers · 261 · h-index 10

Impact in

    • Genomics and Phylogenetic Studies
    • Single-cell and spatial transcriptomics
    • RNA and protein synthesis mechanisms
    • RNA Research and Splicing
    • Gene expression and cancer classification

Papers in

    • Single-cell and spatial transcriptomics 3
    • Genomics and Phylogenetic Studies 2
    • Extracellular vesicles in disease 2
    • Bacteriophages and microbial interactions 1

Igor Mandric

15 papers receiving 260 citations

Peers

Igor Mandric
Comparison fields: 5 of 72
  • Virology 11
  • Molecular Biology 158
  • Immunology 41
  • Parasitology 10
  • Genetics 40
Replace Kaylen Lott with:
Kaylen Lott United States
Marie‐Claire Velluz Switzerland
Slavica Stanojčić France
William Palmer United States
Elizabeth R. Sprague United States
Polen Sean United States
Peter Reinink Netherlands
Helen A. Beilinson United States
Francisca Méchali France
E.S. Johnson United States
Igor Mandric relative to Kaylen Lott United States Kaylen Lott's profile →
Citations per field
00.5×
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Citations per year

Countries citing papers authored by Igor Mandric

Since Specialization
Citations

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

Fields of papers citing papers by Igor Mandric

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 201739
2 202037
3 202037
4 201531
5 201727
6 201926
7 202014
8 201610
9 20239
10 20229
11 20218
12 20186
13 20205
14 20212
15
Profiling adaptive immune repertoires across multiple human tissues by RNA Sequencing
20181

About Igor Mandric

Igor Mandric is a scholar working on Molecular Biology, Ecology, Genetics, Immunology and Cancer Research, having authored 15 papers that have together received 261 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (3 papers), Genomics and Phylogenetic Studies (2 papers), Immune Cell Function and Interaction (2 papers), Cancer-related molecular mechanisms research (2 papers), Extracellular vesicles in disease (2 papers), Bacteriophages and microbial interactions (1 paper), Neurogenesis and neuroplasticity mechanisms (1 paper) and Retinal Diseases and Treatments (1 paper). The work is most often cited by research in Virology (11 citations), Molecular Biology (158 citations), Immunology (41 citations), Parasitology (10 citations) and Genetics (40 citations). Igor Mandric has collaborated with scholars based in United States, Russia and Switzerland. Frequent co-authors include Alex Zelikovsky, Ion Măndoiu, Eleazar Eskin, Serghei Mangul, Sahar Al Seesi, Tatiana Shcheglova, Sergey Knyazev, Nathan LaPierre, David Koslicki and Nicholas C. Wu. Their work appears in journals such as Bioinformatics, Nature Communications, Cell Reports, BMC Genomics and Journal of Computational Biology.

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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