Kavitha Goyal
Impact in
- Dermatology top 1%
- Dermatology and Skin Diseases
- Immunology top 5%
- Psoriasis: Treatment and Pathogenesis
Papers in
- Immunology 22
- Psoriasis: Treatment and Pathogenesis 17
- Biosimilars and Bioanalytical Methods 5
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- Dermatology and Skin Diseases 7
- Co-authors
- Wayne LangholffSteven FakharzadehStephen CalabroMark LebwohlDavid FiorentinoMarc ChévrierAlan MenterYin You
- Journals
- Annals of the Rheumatic Diseases (6 papers)Journal of the American Academy of Dermatology (4 papers)Biologics (2 papers)Annals of the New York Academy of Sciences (2 papers)British Journal of Dermatology (2 papers)
- Partner nations
- United StatesCanadaBelgium
In The Last Decade
Kavitha Goyal
21 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 71
- Dermatology 389
- Immunology 828
- Rheumatology 204
- Hematology 118
- Complementary and Manual Therapy 19
Countries citing papers authored by Kavitha Goyal
This map shows the geographic impact of Kavitha Goyal'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 Kavitha Goyal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kavitha Goyal more than expected).
Fields of papers citing papers by Kavitha Goyal
This network shows the impact of papers produced by Kavitha Goyal. 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 Kavitha Goyal. The network helps show where Kavitha Goyal may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kavitha Goyal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 11 | |
| 2 | 2018 | 7 | |
| 3 | 2018 | 13 | |
| 4 | 2018 | 18 | |
| 5 | 2017 | 85 | |
| 6 | 2017 | 114 | |
| 7 | Evaluation of Risk of Major Adverse Cardiovascular Events With Biologic Therapy in Patients With Psoriasis. | 2017 | 26 |
| 8 | 2017 | 45 | |
| 9 | 2017 | 1 | |
| 10 | 2017 | 10 | |
| 11 | 2016 | 63 | |
| 12 | 2016 | 1 | |
| 13 | 2016 | 183 | |
| 14 | 2015 | 2 | |
| 15 | 2015 | 266 | |
| 16 | 2015 | 0 | |
| 17 | 2015 | 1 | |
| 18 | 2014 | 92 | |
| 19 | 2012 | 22 | |
| 20 | 2011 | 60 |
About Kavitha Goyal
Kavitha Goyal is a scholar working on Immunology, Dermatology, Economics and Econometrics, Pediatrics, Perinatology and Child Health and Rheumatology, having authored 22 papers that have together received 1.0k indexed citations. Recurring topics across this work include Psoriasis: Treatment and Pathogenesis (17 papers), Health Systems, Economic Evaluations, Quality of Life (9 papers), Dermatology and Skin Diseases (7 papers), Biosimilars and Bioanalytical Methods (5 papers), Pharmaceutical studies and practices (5 papers), Tuberculosis Research and Epidemiology (3 papers), Rheumatoid Arthritis Research and Therapies (3 papers) and Autoimmune Bullous Skin Diseases (2 papers). The work is most often cited by research in Dermatology (389 citations), Immunology (828 citations), Rheumatology (204 citations), Hematology (118 citations) and Complementary and Manual Therapy (19 citations). Kavitha Goyal has collaborated with scholars based in United States, Canada and Belgium. Frequent co-authors include Wayne Langholff, Steven Fakharzadeh, Stephen Calabro, Mark Lebwohl, David Fiorentino, Marc Chévrier, Alan Menter, Yin You, Arnon D. Cohen and Bhaskar Srivastava. Their work appears in journals such as Annals of the Rheumatic Diseases, Journal of the American Academy of Dermatology, Biologics, Annals of the New York Academy of Sciences and British Journal of Dermatology.
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.