Jennifer Laudadio

1.0k citations
24 papers · 702 indexed · h-index 13

Jennifer Laudadio

23 papers receiving 679 citations

Peers

Jennifer Laudadio
Comparison fields: 5 of 87
  • Otorhinolaryngology 76
  • Rheumatology 148
  • Hematology 94
  • Astronomy and Astrophysics 128
  • Genetics 83
Replace William Chapman with:
William Chapman Canada
D. Haag Germany
James A. Merritt United States
Peter McCarthy Ireland
Brita Singers Sørensen Denmark
Hiroshi Terasaki Japan
S. Silver United States
Satoshi Hino Japan
Waldemar Wlodarczyk Germany
Nicholas G. Nickols United States
Jennifer Laudadio relative to William Chapman Canada William Chapman's profile →
Citations per field
00.5×10×14.2×
William Chapman · 1×
Citations per year

Countries citing papers authored by Jennifer Laudadio

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Laudadio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20230
2 20231
3 20221
4 202112
5
Clinical Performance of GenMark ePlex SARS-CoV-2 Test Compared to a Laboratory Developed Procedure
20201
6 20158
7 201412
8 201439
9 201322
10 20133
11 201290
12 201119
13 201058
14 20093
15 200845
16 20081
17 20071
18 20061
19 200629
20 200558

About Jennifer Laudadio

Jennifer Laudadio is a scholar working on Microbiology, Otorhinolaryngology and Family Practice, having authored 24 papers that have together received 702 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (4 papers), Chronic Myeloid Leukemia Treatments (4 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Origins and Evolution of Life (2 papers), Click Chemistry and Applications (2 papers), Molecular Biology Techniques and Applications (2 papers), Eosinophilic Disorders and Syndromes (2 papers) and Genetics, Bioinformatics, and Biomedical Research (2 papers). The work is most often cited by research in Otorhinolaryngology (76 citations), Rheumatology (148 citations) and Hematology (94 citations). Jennifer Laudadio has collaborated with scholars based in United States, Japan and Qatar. Frequent co-authors include Dilip Kondepudi, Kouichi Asakura, Brian J. Sutton, Anthony N. Snow, Richard D. Press, Michael J. Mauro, Michael W. Deininger, Daynna J. Wolff, Thomas Buhse and Stephanie G. Willis. Their work appears in journals such as Archives of Pathology & Laboratory Medicine, Journal of Molecular Diagnostics, Blood, Advances in Anatomic Pathology and Journal of the American Chemical Society.

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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