Emma MacDermott

483 citations
18 papers · 334 · h-index 7

Impact in

    • Systemic Lupus Erythematosus Research
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunodeficiency and Autoimmune Disorders
    • Atherosclerosis and Cardiovascular Diseases

Papers in

    • Autoimmune and Inflammatory Disorders Research 6
    • Immunodeficiency and Autoimmune Disorders 2

Emma MacDermott

16 papers receiving 329 citations

Peers

Emma MacDermott
Comparison fields: 5 of 51
  • Rheumatology 166
  • Immunology 164
  • Biochemistry 33
  • Nephrology 18
  • Hematology 27
Replace Marco Antonio Carvalho with:
Marco Antonio Carvalho Brazil
Kevin W. Loudon United Kingdom
Albin Björk Sweden
R Motta France
S A Bell Germany
Iwona Brzosko Poland
Anikó Szilvási Hungary
S. John United Kingdom
Xiaolan Lu China
Iván Posso‐Osorio Colombia
Emma MacDermott relative to Marco Antonio Carvalho Brazil Marco Antonio Carvalho's profile →
Citations per field
00.5×
Marco Antonio Carvalho · 1×
Citations per year

Countries citing papers authored by Emma MacDermott

Since Specialization
Citations

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

Fields of papers citing papers by Emma MacDermott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2009185
2 201050
3 201923
4 200618
5 201316
6 201915
7 20158
8 20175
9 20194
10 20142
11 20142
12 20142
13 20151
14 20221
15 20221
16 20151
17 20150
18 20190

About Emma MacDermott

Emma MacDermott is a scholar working on Hematology, Immunology, Speech and Hearing, Genetics and Cardiology and Cardiovascular Medicine, having authored 18 papers that have together received 334 indexed citations. Recurring topics across this work include Autoimmune and Inflammatory Disorders Research (6 papers), Connective tissue disorders research (4 papers), Adolescent and Pediatric Healthcare (4 papers), Down syndrome and intellectual disability research (3 papers), Systemic Lupus Erythematosus Research (3 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Neurogenetic and Muscular Disorders Research (2 papers) and Cardiovascular Issues in Pregnancy (2 papers). The work is most often cited by research in Rheumatology (166 citations), Immunology (164 citations), Biochemistry (33 citations), Nephrology (18 citations) and Hematology (27 citations). Emma MacDermott has collaborated with scholars based in Ireland, United States and United Kingdom. Frequent co-authors include Mary K. Crow, Silvia N. Kariuki, L. Barillas-Arias, Timothy B. Niewold, Kyriakos A. Kirou, Thomas J A Lehman, Orla Killeen, Alexa Adams, Mercy M. Davidson and Guido Davidzon. Their work appears in journals such as Pediatric Rheumatology, Lara D. Veeken, Drugs, The Journal of Immunology and Arthritis & Rheumatology.

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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