Danielle N. Meadows

483 total citations
8 papers, 399 citations indexed

About

Danielle N. Meadows is a scholar working on Radiology, Nuclear Medicine and Imaging, Public Health, Environmental and Occupational Health and Ophthalmology. According to data from OpenAlex, Danielle N. Meadows has authored 8 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Public Health, Environmental and Occupational Health and 2 papers in Ophthalmology. Recurrent topics in Danielle N. Meadows's work include Corneal surgery and disorders (6 papers), Ocular Surface and Contact Lens (4 papers) and Corneal Surgery and Treatments (3 papers). Danielle N. Meadows is often cited by papers focused on Corneal surgery and disorders (6 papers), Ocular Surface and Contact Lens (4 papers) and Corneal Surgery and Treatments (3 papers). Danielle N. Meadows collaborates with scholars based in United States, Canada and Singapore. Danielle N. Meadows's co-authors include John D. Gottsch, Allen O. Eghrari, Nicholas Katsanis, Amr Al‐Saif, Lisa Davey, Norann A. Zaghloul, Simon G. Gregory, Natalie A. Afshari, Sheikh Riazuddin and Mollie Minear and has published in prestigious journals such as PLoS ONE, The American Journal of Human Genetics and Investigative Ophthalmology & Visual Science.

In The Last Decade

Danielle N. Meadows

8 papers receiving 399 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Danielle N. Meadows United States	8	312	214	84	44	35	8	399
Srini Goverdhan United Kingdom	10	260 0.8×	360 1.7×	89 1.1×	29 0.7×	56 1.6×	20	424
João Paulo Castro Sousa Portugal	15	270 0.9×	406 1.9×	100 1.2×	38 0.9×	16 0.5×	44	510
Petri Mäkinen Finland	12	286 0.9×	245 1.1×	65 0.8×	104 2.4×	19 0.5×	31	420
Deepika Malik United States	6	99 0.3×	170 0.8×	261 3.1×	20 0.5×	37 1.1×	17	423
Maria Schäche Australia	10	214 0.7×	174 0.8×	84 1.0×	118 2.7×	10 0.3×	16	372
Julio A. Urrets‐Zavalía Argentina	12	160 0.5×	159 0.7×	83 1.0×	18 0.4×	24 0.7×	36	346
Sara Vaz-Pereira Portugal	13	280 0.9×	382 1.8×	72 0.9×	16 0.4×	12 0.3×	33	443
Inas F. Aboobakar United States	9	173 0.6×	243 1.1×	91 1.1×	16 0.4×	10 0.3×	19	334
Lianqun Wu China	11	102 0.3×	123 0.6×	57 0.7×	69 1.6×	21 0.6×	35	290
Dženita Smailhodzic Netherlands	14	351 1.1×	552 2.6×	198 2.4×	22 0.5×	100 2.9×	18	619

Countries citing papers authored by Danielle N. Meadows

Since Specialization

Citations

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

Fields of papers citing papers by Danielle N. Meadows

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle N. Meadows. 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 Danielle N. Meadows. The network helps show where Danielle N. Meadows may publish in the future.

Co-authorship network of co-authors of Danielle N. Meadows

This figure shows the co-authorship network connecting the top 25 collaborators of Danielle N. Meadows. A scholar is included among the top collaborators of Danielle N. Meadows based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Danielle N. Meadows. Danielle N. Meadows is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Meadows, Danielle N., et al.. (2015). High Dietary Folate in Mice Alters Immune Response and Reduces Survival after Malarial Infection. PLoS ONE. 10(11). e0143738–e0143738. 16 indexed citations

Eghrari, Allen O., et al.. (2015). Retroillumination Photography Analysis Enhances Clinical Definition of Severe Fuchs Corneal Dystrophy. Cornea. 34(12). 1623–1626. 8 indexed citations

Meadows, Danielle N., Michał Pyzik, Qing Wu, et al.. (2014). Increased Resistance to Malaria in Mice with Methylenetetrahydrofolate Reductase (Mthfr) Deficiency Suggests a Mechanism for Selection of theMTHFR677C>T (c.665C>T) Variant. Human Mutation. 35(5). 594–600. 16 indexed citations

Riazuddin, S. Amer, Eranga N. Vithana, Yangjian Liu, et al.. (2010). Missense mutations in the sodium borate cotransporter SLC4A11 cause late-onset Fuchs corneal dystrophya. Human Mutation. 31(11). 1261–1268. 109 indexed citations

Riazuddin, Sheikh, Norann A. Zaghloul, Amr Al‐Saif, et al.. (2010). Missense Mutations in TCF8 Cause Late-Onset Fuchs Corneal Dystrophy and Interact with FCD4 on Chromosome 9p. The American Journal of Human Genetics. 86(1). 45–53. 147 indexed citations

McGlumphy, Elyse J., S. Amer Riazuddin, Amr Al‐Saif, et al.. (2010). Age-Severity Relationships in Families Linked toFCD2with Retroillumination Photography. Investigative Ophthalmology & Visual Science. 51(12). 6298–6298. 11 indexed citations

Riazuddin, Sheikh, Allen O. Eghrari, Amr Al‐Saif, et al.. (2009). Linkage of a Mild Late-Onset Phenotype of Fuchs Corneal Dystrophy to a Novel Locus at 5q33.1-q35.2. Investigative Ophthalmology & Visual Science. 50(12). 5667–5667. 72 indexed citations

Meadows, Danielle N., Allen O. Eghrari, Saima Riazuddin, et al.. (2009). Progression of Fuchs Corneal Dystrophy in a Family Linked to theFCD1Locus. Investigative Ophthalmology & Visual Science. 50(12). 5662–5662. 20 indexed citations

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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