Margaret Gamalo

2.1k citations
52 papers · 1.2k indexed · 1 hit paper · h-index 14

Margaret Gamalo

46 papers receiving 1.2k citations

Hit Papers

Baricitinib in adult patients with moderate-to-severe ato...250201820262020202350100150200250

Peers

Margaret Gamalo
Comparison fields: 5 of 102
  • Dermatology 623
  • Immunology and Allergy 423
  • Statistics and Probability 280
  • Rheumatology 240
  • Urology 79
Replace Stacey Tannenbaum with:
Stacey Tannenbaum United States
Ieuan Jones United Kingdom
Yasmine Wasfi United States
Michelle Orme United Kingdom
Josephina G. Kuiper Netherlands
Larry D. Roi United States
Thomas Salko United States
Richard Wu United States
Sofia Mosesova United States
Yaung‐Kaung Shen United States
Margaret Gamalo relative to Stacey Tannenbaum United States Stacey Tannenbaum's profile →
Citations per field
00.5×10×16.8×
Stacey Tannenbaum · 1×
Citations per year

Countries citing papers authored by Margaret Gamalo

Since Specialization
Citations

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

Fields of papers citing papers by Margaret Gamalo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20241
3 20243
4 202311
5 20233
6 20230
7 202230
8 202211
9 20223
10 202213
11 202210
12 20222
13 2021106
14 202190
15 20212
16 202043
17 202011
18 201924
19 201911
20
Baricitinib in adult patients with moderate-to-severe atopic dermatitis: A phase 2 parallel, double-blinded, randomized placebo-controlled multiple-dose studybreakdown →
2018250

About Margaret Gamalo

Margaret Gamalo is a scholar working on Statistics and Probability, Dermatology and Immunology and Allergy, having authored 52 papers that have together received 1.2k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (28 papers), Advanced Causal Inference Techniques (16 papers), Health Systems, Economic Evaluations, Quality of Life (15 papers), Pharmaceutical studies and practices (12 papers), Statistical Methods and Bayesian Inference (9 papers), Dermatology and Skin Diseases (6 papers), Statistical Methods and Inference (5 papers) and Allergic Rhinitis and Sensitization (4 papers). The work is most often cited by research in Dermatology (623 citations), Immunology and Allergy (423 citations) and Statistics and Probability (280 citations). Margaret Gamalo has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Jonathan Janes, Fabio P. Nunes, Eric L. Simpson, Ram C. Tiwari, Amy M. DeLozier, Jonathan I. Silverberg, Seth Forman, Emma Guttman‐Yassky, Katrin Holzwarth and Jacob P. Thyssen. Their work appears in journals such as Journal of the American Academy of Dermatology, Clinical Pharmacology & Therapeutics and The American Statistician.

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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2026