Deepa Panikkath

422 citations
24 papers · 202 · h-index 8

Impact in

  • Dermatology top 10%
    • Hidradenitis Suppurativa and Treatments
    • Cerebral Venous Sinus Thrombosis
    • Neurosurgical Procedures and Complications

Papers in

    • Autoimmune and Inflammatory Disorders 4
    • Microscopic Colitis 3
    • Neuroendocrine Tumor Research Advances 2
    • Eosinophilic Esophagitis 2

Deepa Panikkath

20 papers receiving 196 citations

Peers

Deepa Panikkath
Comparison fields: 5 of 53
  • Dermatology 41
  • Neurology 50
  • Periodontics 15
  • Epidemiology 83
  • Genetics 50
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Citations per year

Countries citing papers authored by Deepa Panikkath

Since Specialization
Citations

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

Fields of papers citing papers by Deepa Panikkath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201643
2 201634
3 201529
4 201427
5 201415
6 20167
7 20167
8 20137
9 20165
10 20145
11 20165
12 20154
13 20193
14 20143
15 20223
16
Immunological Abnormalities in a SARS-CoV-2-Cytokine Release Syndrome Rheumatology Cohort
20201
17 20161
18 20111
19 20161
20 20131

About Deepa Panikkath

Deepa Panikkath is a scholar working on Epidemiology, Surgery, Genetics, Infectious Diseases and Dermatology, having authored 24 papers that have together received 202 indexed citations. Recurring topics across this work include Inflammatory Bowel Disease (5 papers), Autoimmune and Inflammatory Disorders (4 papers), Microscopic Colitis (3 papers), Streptococcal Infections and Treatments (2 papers), IgG4-Related and Inflammatory Diseases (2 papers), Eosinophilic Esophagitis (2 papers), Neuroendocrine Tumor Research Advances (2 papers) and Hidradenitis Suppurativa and Treatments (2 papers). The work is most often cited by research in Dermatology (41 citations), Neurology (50 citations), Periodontics (15 citations), Epidemiology (83 citations) and Genetics (50 citations). Deepa Panikkath has collaborated with scholars based in United States, Thailand and Switzerland. Frequent co-authors include Ragesh Panikkath, Parunyou Julayanont, Andrew Ippoliti, Manreet Kaur, Marla C. Dubinsky, Dermot McGovern, Gil Melmed, Kenneth Nugent, Stephan R. Targan and David Q. Shih. Their work appears in journals such as Gastroenterology, American Journal of Therapeutics, Journal of Cutaneous Medicine and Surgery, Rheumatic Disease Clinics of North America and Inflammatory Bowel Diseases.

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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