Manmath Patekar

19 papers receiving 1.1k citations

Manmath Patekar's Hit Papers

Secukinumab, a human anti-interleukin-17A monoclonal antibody, in patients with psoriatic arthritis (FUTURE 2): a randomised, double-blind, placebo-controlled, phase 3 trial 2015 · 650 citations
6500+3+7Years since publication200400600

Peers

Manmath Patekar
Comparison fields: 5 of 62
  • Immunology 921
  • Dermatology 358
  • Hematology 396
  • Rheumatology 513
  • Pathology and Forensic Medicine 113
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Luke Peterson United States
M. Milutinovic Switzerland
Ziqian Geng United States
S. Li United States
R. You Switzerland
J.M.P.A. van den Reek Netherlands
X. Bordas Spain
Abby Van Voorhees United States
Martina Burlando Italy
Rod Kunynetz Canada
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Countries citing papers authored by Manmath Patekar

Since Specialization
Citations

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

Fields of papers citing papers by Manmath Patekar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1
Secukinumab, a human anti-interleukin-17A monoclonal antibody, in patients with psoriatic arthritis (FUTURE 2): a randomised, double-blind, placebo-controlled, phase 3 trial
Hit paper breakdown →
2015650
2 2018144
3 201865
4 202060
5 202044
6 202032
7 202128
8 201920
9 202113
10 202211
11 20237
12 20217
13 20215
14 20235
15 20154
16 20213
17 20212
18 20211
19 20151
20 20230

About Manmath Patekar

Manmath Patekar is a scholar working on Immunology, Dermatology, Hematology, Rheumatology and Pediatrics, Perinatology and Child Health, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include Psoriasis: Treatment and Pathogenesis (16 papers), Dermatology and Skin Diseases (9 papers), Autoimmune and Inflammatory Disorders Research (9 papers), Pharmaceutical studies and practices (4 papers), Spondyloarthritis Studies and Treatments (3 papers), Autoimmune Bullous Skin Diseases (3 papers), Urticaria and Related Conditions (2 papers) and Rheumatoid Arthritis Research and Therapies (2 papers). The work is most often cited by research in Immunology (921 citations), Dermatology (358 citations), Hematology (396 citations), Rheumatology (513 citations) and Pathology and Forensic Medicine (113 citations). Manmath Patekar has collaborated with scholars based in Switzerland, United States and China. Frequent co-authors include Shephard Mpofu, Iain B. McInnes, Arthur Kavanaugh, Hanno B. Richards, R. Landewé, Désirée van der Heijde, Alice B. Gottlieb, Proton Rahman, Philip G. Conaghan and Bruce Kirkham. Their work appears in journals such as Journal of the American Academy of Dermatology, Journal of the European Academy of Dermatology and Venereology, Annals of the Rheumatic Diseases, Pediatric Drugs and Dermatologic Therapy.

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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