Ramanan Gopalan

453 total citations · 1 hit paper
7 papers, 323 citations indexed

About

Ramanan Gopalan is a scholar working on Physiology, Dermatology and Rheumatology. According to data from OpenAlex, Ramanan Gopalan has authored 7 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Physiology, 2 papers in Dermatology and 2 papers in Rheumatology. Recurrent topics in Ramanan Gopalan's work include Sympathectomy and Hyperhidrosis Treatments (4 papers), Urticaria and Related Conditions (2 papers) and Dermatology and Skin Diseases (2 papers). Ramanan Gopalan is often cited by papers focused on Sympathectomy and Hyperhidrosis Treatments (4 papers), Urticaria and Related Conditions (2 papers) and Dermatology and Skin Diseases (2 papers). Ramanan Gopalan collaborates with scholars based in United States. Ramanan Gopalan's co-authors include Janice Drew, Lawrence F. Eichenfield, Amy S. Paller, Emma Guttman‐Yassky, Andrew Blauvelt, April W. Armstrong, Eric L. Simpson, Donald A. Berry, Dee Anna Glaser and Adelaide A. Hebert and has published in prestigious journals such as Journal of the American Statistical Association, American Journal of Clinical Dermatology and JAMA Dermatology.

In The Last Decade

Ramanan Gopalan

7 papers receiving 313 citations

Hit Papers

Efficacy and Safety of Lebrikizumab, a High-Affinity Inte... 2020 2026 2022 2024 2020 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ramanan Gopalan United States 5 231 181 148 79 34 7 323
Xiuping Han China 6 118 0.5× 72 0.4× 36 0.2× 25 0.3× 50 1.5× 9 163
Nadine Herrmann Germany 10 128 0.6× 78 0.4× 62 0.4× 28 0.4× 86 2.5× 13 220
Susanne Dugas‐Breit Germany 7 86 0.4× 165 0.9× 33 0.2× 44 0.6× 69 2.0× 11 220
Bernhard Maderegger Austria 9 111 0.5× 285 1.6× 136 0.9× 6 0.1× 25 0.7× 10 337
Maki Etori Japan 6 35 0.2× 151 0.8× 156 1.1× 62 0.8× 228 6.7× 7 348
Sri Anusha Matta Singapore 8 106 0.5× 79 0.4× 75 0.5× 4 0.1× 23 0.7× 16 185
Björn van Anrooij Netherlands 5 21 0.1× 132 0.7× 28 0.2× 72 0.9× 144 4.2× 6 188
Daly Cantave United States 6 15 0.1× 167 0.9× 55 0.4× 111 1.4× 198 5.8× 7 254
Courtney Kachuk United States 4 98 0.4× 28 0.2× 5 0.0× 30 0.4× 68 2.0× 5 176
Eirini Nikolouli Germany 5 40 0.2× 22 0.1× 24 0.2× 20 0.3× 92 2.7× 9 157

Countries citing papers authored by Ramanan Gopalan

Since Specialization
Citations

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

Fields of papers citing papers by Ramanan Gopalan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramanan Gopalan

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

All Works

7 of 7 papers shown
1.
2.
Guttman‐Yassky, Emma, Andrew Blauvelt, Lawrence F. Eichenfield, et al.. (2020). Efficacy and Safety of Lebrikizumab, a High-Affinity Interleukin 13 Inhibitor, in Adults With Moderate to Severe Atopic Dermatitis. JAMA Dermatology. 156(4). 411–411. 248 indexed citations breakdown →
3.
Guttman‐Yassky, Emma, Andrew Blauvelt, Lawrence F. Eichenfield, et al.. (2019). Lebrikizumab, a High-Affinity IL-13 Inhibitor, Improves Clinical Manifestations in Moderate-to-Severe Atopic Dermatitis: Primary Results From a Randomized, Double-Blinded, Placebo-Controlled, Dose-Ranging, Phase 2b Study. SKIN The Journal of Cutaneous Medicine. 3. S41–S41. 4 indexed citations
4.
Pariser, David M., Adelaide A. Hebert, Janice Drew, et al.. (2018). Topical Glycopyrronium Tosylate for the Treatment of Primary Axillary Hyperhidrosis: Patient-Reported Outcomes from the ATMOS-1 and ATMOS-2 Phase III Randomized Controlled Trials. American Journal of Clinical Dermatology. 20(1). 135–145. 25 indexed citations
5.
Hebert, Adelaide A., Dee Anna Glaser, Lawrence Green, et al.. (2018). Glycopyrronium tosylate in pediatric primary axillary hyperhidrosis: Post hoc analysis of efficacy and safety findings by age from two phase three randomized controlled trials. Pediatric Dermatology. 36(1). 89–99. 16 indexed citations
6.
Hebert, Adelaide A., Dee Anna Glaser, Lawrence Green, et al.. (2018). Short- and Long-Term Efficacy and Safety of Glycopyrronium Cloth for the Treatment of Primary Axillary Hyperhidrosis: Post Hoc Pediatric Subgroup Analyses from the Phase 3 Studies. SKIN The Journal of Cutaneous Medicine. 2. S68–S68. 1 indexed citations
7.
Gopalan, Ramanan & Donald A. Berry. (1998). Bayesian Multiple Comparisons Using Dirichlet Process Priors. Journal of the American Statistical Association. 93(443). 1130–1130. 18 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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