Jane C. Iber

2.8k citations
34 papers · 2.2k · h-index 25

Impact in

Papers in

Jane C. Iber

34 papers receiving 2.0k citations

Peers

Jane C. Iber
Comparison fields: 5 of 103
  • Cardiology and Cardiovascular Medicine 1.2k
  • Infectious Diseases 919
  • Agronomy and Crop Science 163
  • Animal Science and Zoology 160
  • Genetics 356
Replace Florence Colbère-Garapin with:
Florence Colbère-Garapin France
Tuija A. A. Pöyry United Kingdom
Penny Clarke United States
Barry J. Lamphear United States
Hartwig P. Huemer Austria
Guido van Marle Canada
Marianita Santiana United States
Marcelo López‐Lastra Chile
J. Craig Forrest United States
Jane C. Iber relative to Florence Colbère-Garapin France Florence Colbère-Garapin's profile →
Citations per field
00.5×2×4×6.6×
Florence Colbère-Garapin · 1×
Citations per year

Countries citing papers authored by Jane C. Iber

Since Specialization
Citations

This map shows the geographic impact of Jane C. 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 C. 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 C. Iber more than expected).

Fields of papers citing papers by Jane C. Iber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998485
2 1997164
3 2009160
4 2013133
5 1997126
6 2018108
7 2011102
8 200784
9 202072
10 201163
11 201963
12 200760
13 201557
14 201657
15 201651
16 201740
17 199740
18 201339
19 201736
20 201633

About Jane C. Iber

Jane C. Iber is a scholar working on Cardiology and Cardiovascular Medicine, Infectious Diseases, Animal Science and Zoology, Epidemiology and Cognitive Neuroscience, having authored 34 papers that have together received 2.2k indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (30 papers), Viral gastroenteritis research and epidemiology (22 papers), Respiratory viral infections research (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Animal Virus Infections Studies (4 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Autism Spectrum Disorder Research (2 papers) and Plant Virus Research Studies (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.2k citations), Infectious Diseases (919 citations), Agronomy and Crop Science (163 citations), Animal Science and Zoology (160 citations) and Genetics (356 citations). Jane C. Iber has collaborated with scholars based in United States, Nigeria and Cameroon. Frequent co-authors include Stephen T. Warren, Cara Carthel Burns, Olen M. Kew, Jaume Jorba, Ajit P Varki, David L. Nelson, Elizabeth Nickerson, Hiromu Takematsu, Sandra L. Diaz and Elaine A. Muchmore. Their work appears in journals such as MMWR Morbidity and Mortality Weekly Report, Journal of Clinical Microbiology, Journal of Virology, Journal of Clinical Virology and Nature Genetics.

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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