Carmen Yea

877 citations
22 papers · 374 · h-index 10

Impact in

    • Multiple Sclerosis Research Studies
    • Plant-Microbe Interactions and Immunity
    • Plant Pathogenic Bacteria Studies
    • Plant Parasitism and Resistance
    • Legume Nitrogen Fixing Symbiosis

Papers in

Carmen Yea

21 papers receiving 368 citations

Peers

Carmen Yea
Comparison fields: 5 of 55
  • Pathology and Forensic Medicine 96
  • Plant Science 135
  • Neurology 41
  • Infectious Diseases 35
  • Oncology 40
Replace Luciana Poddighe with:
Luciana Poddighe Italy
Wataru Naka Japan
Monica Dalal United States
Nina V. Fuchs Germany
Lotte Hougs Denmark
Lyse Santoro France
Sergio L. Abreu United States
Andreas Goldwich Germany
Chung‐Sheng Lee Taiwan
Anu Remm Estonia
Carmen Yea relative to Luciana Poddighe Italy Luciana Poddighe's profile →
Citations per field
00.5×4.6×
Luciana Poddighe · 1×
Citations per year

Countries citing papers authored by Carmen Yea

Since Specialization
Citations

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

Fields of papers citing papers by Carmen Yea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012143
2 201345
3 201541
4 201920
5 200720
6 201915
7 202214
8 200910
9 202210
10 20249
11 20218
12 20078
13 20107
14 20215
15 20065
16
Isolation of Bacillus cereus in the feces of healthy adults in Taipei City.
19945
17 20244
18 20102
19 20241
20 20091

About Carmen Yea

Carmen Yea is a scholar working on Neurology, Pathology and Forensic Medicine, Molecular Biology, Epidemiology and Infectious Diseases, having authored 22 papers that have together received 374 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (4 papers), Influenza Virus Research Studies (3 papers), Systemic Lupus Erythematosus Research (3 papers), Autoimmune Neurological Disorders and Treatments (3 papers), Peripheral Neuropathies and Disorders (3 papers), Respiratory viral infections research (3 papers), Genetic Neurodegenerative Diseases (2 papers) and Hepatitis C virus research (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (96 citations), Plant Science (135 citations), Neurology (41 citations), Infectious Diseases (35 citations) and Oncology (40 citations). Carmen Yea has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include E. Ann Yeh, Raymond Tellier, Ruth Ann Marrie, Yulu Cherry Liu, David S. Guttman, Stéphane Angers, Brenden A. Hurley, Andrew Wilde, Frederik Börnke and Darrell Desveaux. Their work appears in journals such as Developmental Medicine & Child Neurology, Multiple Sclerosis Journal, Journal of Clinical Microbiology, Annual Review of Pathology Mechanisms of Disease and Journal of Child Neurology.

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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