Roberta Madej

575 citations
15 papers · 413 · h-index 10

Impact in

  • Virology top 10%
    • HIV Research and Treatment
    • HIV/AIDS drug development and treatment
    • HIV/AIDS Research and Interventions
    • SARS-CoV-2 detection and testing

Papers in

    • HIV/AIDS drug development and treatment 4
    • HIV/AIDS Research and Interventions 2
    • SARS-CoV-2 detection and testing 2
    • HIV Research and Treatment 6

Roberta Madej

15 papers receiving 391 citations

Peers

Roberta Madej
Comparison fields: 5 of 73
  • Virology 68
  • Infectious Diseases 151
  • Epidemiology 112
  • Microbiology 19
  • Immunology 59
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Roberta Madej relative to Gabriel Meister United States Gabriel Meister's profile →
Citations per field
00.5×1.5×
Gabriel Meister · 1×
Citations per year

Countries citing papers authored by Roberta Madej

Since Specialization
Citations

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

Fields of papers citing papers by Roberta Madej

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1
HLA-DQ alpha allele and genotype frequencies in various human populations, determined by using enzymatic amplification and oligonucleotide probes.
199095
2 199272
3 201057
4
A multicenter proficiency trial of gene amplification (PCR) for the detection of HIV-1.
199157
5 201139
6 202122
7 198920
8
Detection of HIV-1 DNA by PCR: evaluation of primer pair concordance and sensitivity of a single primer pair.
199213
9 201912
10
HIV-1 PCR and isolation in seroconverting and seronegative homosexual men: absence of long-term immunosilent infection.
199310
11 20215
12 19924
13 20013
14 20212
15 19862

About Roberta Madej

Roberta Madej is a scholar working on Infectious Diseases, Virology, Molecular Biology, Ecology and Epidemiology, having authored 15 papers that have together received 413 indexed citations. Recurring topics across this work include HIV Research and Treatment (6 papers), HIV/AIDS drug development and treatment (4 papers), Molecular Biology Techniques and Applications (3 papers), HIV/AIDS Research and Interventions (2 papers), Bacteriophages and microbial interactions (2 papers), SARS-CoV-2 detection and testing (2 papers), COVID-19 diagnosis using AI (1 paper) and Salmonella and Campylobacter epidemiology (1 paper). The work is most often cited by research in Virology (68 citations), Infectious Diseases (151 citations), Epidemiology (112 citations), Microbiology (19 citations) and Immunology (59 citations). Roberta Madej has collaborated with scholars based in United States, United Kingdom and Poland. Frequent co-authors include Thomas J. White, David H. Persing, Marcia J. Holden, Philip D. Minor, N Fildes, George J. Schneider, Emily Blake, Jack R. Davis, Clara Gorodezky and William Klitz. Their work appears in journals such as Journal of Clinical Virology, Expert Review of Molecular Diagnostics, Molecular Diagnosis, Emerging Microbes & Infections and American Journal of Obstetrics and Gynecology.

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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