Matilda W. Nicholas

507 total citations
25 papers, 302 citations indexed

About

Matilda W. Nicholas is a scholar working on Public Health, Environmental and Occupational Health, Rheumatology and Immunology. According to data from OpenAlex, Matilda W. Nicholas has authored 25 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Public Health, Environmental and Occupational Health, 6 papers in Rheumatology and 6 papers in Immunology. Recurrent topics in Matilda W. Nicholas's work include Digital Imaging in Medicine (4 papers), Cutaneous Melanoma Detection and Management (4 papers) and Urticaria and Related Conditions (3 papers). Matilda W. Nicholas is often cited by papers focused on Digital Imaging in Medicine (4 papers), Cutaneous Melanoma Detection and Management (4 papers) and Urticaria and Related Conditions (3 papers). Matilda W. Nicholas collaborates with scholars based in United States. Matilda W. Nicholas's co-authors include Stephen H. Clarke, Mary Anne Dooley, Susan L. Hogan, Jennifer H. Anolik, Christopher E. Henderson, M. Angelica Selim, Amy J. Petty, Lauren Floyd, Kara L. Conway and Thomas B. Kepler and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and Journal of the American Academy of Dermatology.

In The Last Decade

Matilda W. Nicholas

21 papers receiving 293 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matilda W. Nicholas United States 7 144 100 50 49 49 25 302
Peter Bartz‐Bazzanella Germany 9 175 1.2× 183 1.8× 71 1.4× 42 0.9× 29 0.6× 23 388
Robert J. Verburg Netherlands 9 108 0.8× 124 1.2× 18 0.4× 44 0.9× 81 1.7× 11 315
Martin Feuchtenberger Germany 12 115 0.8× 173 1.7× 80 1.6× 39 0.8× 24 0.5× 42 396
Ruxandra Ionescu Romania 10 140 1.0× 138 1.4× 25 0.5× 50 1.0× 15 0.3× 38 302
Malini Bhole United Kingdom 6 125 0.9× 29 0.3× 27 0.5× 31 0.6× 38 0.8× 11 294
Carmen Ho China 8 101 0.7× 223 2.2× 19 0.4× 32 0.7× 22 0.4× 14 286
Aleksandar Dimić Serbia 9 70 0.5× 118 1.2× 20 0.4× 27 0.6× 40 0.8× 31 272
YE Dong-qing China 11 120 0.8× 116 1.2× 66 1.3× 16 0.3× 30 0.6× 33 313
Inês Raposo Portugal 9 125 0.9× 63 0.6× 87 1.7× 59 1.2× 9 0.2× 20 274
Maura Couto Portugal 7 145 1.0× 128 1.3× 12 0.2× 27 0.6× 25 0.5× 20 230

Countries citing papers authored by Matilda W. Nicholas

Since Specialization
Citations

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

Fields of papers citing papers by Matilda W. Nicholas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matilda W. Nicholas. 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 Matilda W. Nicholas. The network helps show where Matilda W. Nicholas may publish in the future.

Co-authorship network of co-authors of Matilda W. Nicholas

This figure shows the co-authorship network connecting the top 25 collaborators of Matilda W. Nicholas. A scholar is included among the top collaborators of Matilda W. Nicholas 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 Matilda W. Nicholas. Matilda W. Nicholas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Petty, Amy J., et al.. (2025). Mastocytosis: Part II: Diagnosis and Management of Mastocytosis through a Multidisciplinary Lens. Journal of the American Academy of Dermatology.
2.
Hansen, Stefan, et al.. (2025). Mastocytosis: Part I: Pathogenesis, Clinical Presentation and Classification. Journal of the American Academy of Dermatology.
3.
Jeong, Hyeon Ki, Christine Park, Matilda W. Nicholas, et al.. (2024). Image Quality Assessment Using Convolutional Neural Network in Clinical Skin Images. SHILAP Revista de lepidopterología. 4(4). 100285–100285. 4 indexed citations
4.
Nicholas, Matilda W., et al.. (2024). Contraceptive counseling for iPLEDGE and its burden on dermatologists. Archives of Dermatological Research. 316(6). 287–287.
5.
Kheterpal, Meenal, Ethan D. Borre, Matilda W. Nicholas, et al.. (2023). Implementation evaluation of a teledermatology virtual clinic at an academic medical center. SHILAP Revista de lepidopterología. 4(1). 130–130. 1 indexed citations
6.
Nicholas, Matilda W., et al.. (2023). The Impact of Air Pollution on Atopic Dermatitis. Current Allergy and Asthma Reports. 23(8). 435–442. 18 indexed citations
7.
Jeong, Hyeon Ki, Ricardo Henao, Christine Park, et al.. (2023). Image Quality Assessment Using a Convolutional Neural Network for Clinical Skin Images. Iproceedings. 9. e49534–e49534.
8.
Rundle, Chandler W., et al.. (2022). Chatbot utilization in dermatology: a potential amelioration to burnout in dermatology. Dermatology Online Journal. 28(6). 3 indexed citations
9.
Petty, Amy J., et al.. (2022). Innate Immunity in Calcinosis Cutis. SHILAP Revista de lepidopterología. 2(3). 443–459. 2 indexed citations
10.
Nicholas, Matilda W., et al.. (2022). Store-and-Forward Images in Teledermatology: Narrative Literature Review. JMIR Dermatology. 5(3). e37517–e37517. 2 indexed citations
11.
Borre, Ethan D., et al.. (2022). Unsolicited patient images and burnout in dermatology. Clinical and Experimental Dermatology. 48(2). 127–128. 2 indexed citations
12.
Nicholas, Matilda W., et al.. (2022). 34839 Game-changer or flop: Teprotumumab may not provide lasting improvement of pretibial myxedema. Journal of the American Academy of Dermatology. 87(3). AB169–AB169. 1 indexed citations
13.
Petty, Amy J., Lauren Floyd, Christopher E. Henderson, & Matilda W. Nicholas. (2020). Cutaneous Lupus Erythematosus: Progress and Challenges. Current Allergy and Asthma Reports. 20(5). 12–12. 27 indexed citations
14.
Selim, Maria Angelica, et al.. (2020). A case of periostomy intestinal metaplasia without adenomatous or dysplastic changes in an ulcerative colitis patient. SHILAP Revista de lepidopterología. 8(3). 535–537. 1 indexed citations
15.
Hall, Russell P., et al.. (2019). Anetoderma Associated With a Succinate Dehydrogenase Gene Mutation. JAMA Dermatology. 155(11). 1317–1317. 3 indexed citations
16.
Nicholas, Matilda W., et al.. (2017). The burden of inbox-messaging systems and its effect on work-life balance in dermatology. Journal of the American Academy of Dermatology. 79(2). 361–363.e1. 13 indexed citations
17.
Selim, M. Angelica, et al.. (2016). Refractory Subcutaneous Sweet Syndrome Treated With Adalimumab. JAMA Dermatology. 152(7). 842–842. 26 indexed citations
18.
Nicholas, Matilda W., et al.. (2008). A novel subset of memory B cells is enriched in autoreactivity and correlates with adverse outcomes in SLE. Clinical Immunology. 126(2). 189–201. 90 indexed citations
19.
Wang, Hongsheng, Matilda W. Nicholas, Kara L. Conway, et al.. (2006). EBV Latent Membrane Protein 2A Induces Autoreactive B Cell Activation and TLR Hypersensitivity. The Journal of Immunology. 177(5). 2793–2802. 43 indexed citations
20.
Culton, Donna A., Matilda W. Nicholas, Donna O. Bunch, et al.. (2006). Similar CD19 Dysregulation in Two Autoantibody-Associated Autoimmune Diseases Suggests a Shared Mechanism of B-Cell Tolerance Loss. Journal of Clinical Immunology. 27(1). 53–68. 55 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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