Kavitha Goyal

1.5k citations
22 papers · 1.1k · h-index 13

Impact in

  • Immunology top 5%
    • Psoriasis: Treatment and Pathogenesis
    • Biosimilars and Bioanalytical Methods
    • Dermatology and Skin Diseases

Papers in

    • Psoriasis: Treatment and Pathogenesis 17
    • Biosimilars and Bioanalytical Methods 5
    • Health Systems, Economic Evaluations, Quality of Life 3
    • Pharmaceutical Economics and Policy 2

Kavitha Goyal

21 papers receiving 1.0k citations

Peers

Kavitha Goyal
Comparison fields: 5 of 67
  • Immunology 773
  • Dermatology 240
  • Rheumatology 167
  • Hematology 75
  • Biological Psychiatry 16
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Citations per field
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Citations per year

Countries citing papers authored by Kavitha Goyal

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Kavitha Goyal Line = papers co-authored together Kavitha Goyal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015275
2 2016184
3 2017115
4 201492
5 201786
6 201666
7 201160
8 201746
9
Evaluation of Risk of Major Adverse Cardiovascular Events With Biologic Therapy in Patients With Psoriasis.
201726
10 201222
11 201818
12 201813
13 201812
14 201611
15 201710
16 20187
17 20163
18 20152
19 20151
20 20161

About Kavitha Goyal

Kavitha Goyal is a scholar working on Immunology, Economics and Econometrics, Dermatology, Pediatrics, Perinatology and Child Health and Infectious Diseases, having authored 22 papers that have together received 1.1k indexed citations. Recurring topics across this work include Psoriasis: Treatment and Pathogenesis (17 papers), Biosimilars and Bioanalytical Methods (5 papers), Dermatology and Skin Diseases (4 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Pharmaceutical studies and practices (3 papers), Tuberculosis Research and Epidemiology (2 papers), Pharmaceutical Economics and Policy (2 papers) and Asthma and respiratory diseases (2 papers). The work is most often cited by research in Immunology (773 citations), Dermatology (240 citations), Rheumatology (167 citations), Hematology (75 citations) and Biological Psychiatry (16 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, British Journal of Dermatology, Annals of the New York Academy of Sciences and Biologics.

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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