Jane Iber

2.7k citations
32 papers · 1.8k · h-index 22

Impact in

Papers in

Jane Iber

31 papers receiving 1.7k citations

Peers

Jane Iber
Comparison fields: 5 of 101
  • Cardiology and Cardiovascular Medicine 914
  • Infectious Diseases 711
  • Animal Science and Zoology 127
  • Agronomy and Crop Science 124
  • Genetics 309
Replace Tuija Pöyry with:
Tuija Pöyry United Kingdom
Ralph Feuer United States
Deshan Yu China
Guido van Marle Canada
James R. Birtley United Kingdom
Kurt E. Gustin United States
Christine Leib‐Mösch Germany
Emily Wendt United States
J. Craig Forrest United States
Jane Iber relative to Tuija Pöyry United Kingdom Tuija Pöyry's profile →
Citations per field
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Tuija Pöyry · 1×
Citations per year

Countries citing papers authored by Jane Iber

Since Specialization
Citations

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

Fields of papers citing papers by Jane Iber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998452
2 1997153
3 2009137
4 1997107
5 2018100
6 201190
7 200781
8 202061
9 201156
10 201654
11 200753
12 201551
13 201651
14 201950
15 199740
16 201733
17 201333
18 201733
19 201630
20 201825

About Jane Iber

Jane Iber is a scholar working on Cardiology and Cardiovascular Medicine, Infectious Diseases, Epidemiology, Molecular Biology and Animal Science and Zoology, having authored 32 papers that have together received 1.8k indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (28 papers), Viral gastroenteritis research and epidemiology (20 papers), Respiratory viral infections research (6 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Animal Virus Infections Studies (4 papers), Autism Spectrum Disorder Research (2 papers), Genetics and Neurodevelopmental Disorders (2 papers) and Immunodeficiency and Autoimmune Disorders (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (914 citations), Infectious Diseases (711 citations), Animal Science and Zoology (127 citations), Agronomy and Crop Science (124 citations) and Genetics (309 citations). Jane Iber has collaborated with scholars based in United States, Nigeria and Cameroon. Frequent co-authors include Stephen T. Warren, Cara C. Burns, Elizabeth Nickerson, Ajit Varki, Sandra Diaz, Elaine A. Muchmore, David L. Nelson, Jaume Jorba, Hiromu Takematsu and Olen M. Kew. Their work appears in journals such as MMWR Morbidity and Mortality Weekly Report, Journal of Clinical Microbiology, Journal of Clinical Virology, Virus Research and Journal of Virology.

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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