Margaret Gamalo
- Dermatology top 0.5%
- Immunology and Allergy top 1%
- Statistics and Probability top 1%
- Rheumatology top 5%
- Physiology top 10%
- Co-authors
- Jonathan JanesFabio P. NunesEric L. SimpsonRam C. TiwariAmy M. DeLozierJonathan I. SilverbergSeth FormanEmma Guttman‐Yassky
- Topics
- Statistical Methods in Clinical Trials (28 papers)Advanced Causal Inference Techniques (16 papers)Health Systems, Economic Evaluations, Quality of Life (15 papers)
- Journals
- Journal of the American Academy of DermatologyClinical Pharmacology & TherapeuticsThe American Statistician
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Margaret Gamalo
46 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Dermatology 623
- Immunology and Allergy 423
- Statistics and Probability 280
- Rheumatology 240
- Physiology 194
Countries citing papers authored by Margaret Gamalo
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
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 of co-authors of Margaret Gamalo
This figure shows the co-authorship network connecting the top 25 collaborators of Margaret Gamalo. A scholar is included among the top collaborators of Margaret Gamalo 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 Margaret Gamalo. Margaret Gamalo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 11 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 30 | |
| 8 | 11 | |
| 9 | 3 | |
| 10 | 13 | |
| 11 | 10 | |
| 12 | 2 | |
| 13 | 106 | |
| 14 | 90 | |
| 15 | 2 | |
| 16 | 43 | |
| 17 | 11 | |
| 18 | 24 | |
| 19 | 11 | |
| 20 | Baricitinib in adult patients with moderate-to-severe atopic dermatitis: A phase 2 parallel, double-blinded, randomized placebo-controlled multiple-dose studybreakdown → | 250 |
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) and Health Systems, Economic Evaluations, Quality of Life (15 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.