Nikhil Yawalkar

9.9k total citations
158 papers, 5.5k citations indexed

About

Nikhil Yawalkar is a scholar working on Dermatology, Immunology and Rheumatology. According to data from OpenAlex, Nikhil Yawalkar has authored 158 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Dermatology, 78 papers in Immunology and 39 papers in Rheumatology. Recurrent topics in Nikhil Yawalkar's work include Psoriasis: Treatment and Pathogenesis (54 papers), Dermatology and Skin Diseases (48 papers) and Drug-Induced Adverse Reactions (26 papers). Nikhil Yawalkar is often cited by papers focused on Psoriasis: Treatment and Pathogenesis (54 papers), Dermatology and Skin Diseases (48 papers) and Drug-Induced Adverse Reactions (26 papers). Nikhil Yawalkar collaborates with scholars based in Switzerland, United States and China. Nikhil Yawalkar's co-authors include Werner J. Pichler, Robert E. Hunger, Christoph Schlapbach, Lasse R. Braathen, Simone Schmid, Markus Britschgi, Laurence Feldmeyer, Kristine Heidemeyer, Arthur Helbling and Alexander A. Navarini and has published in prestigious journals such as Journal of Clinical Investigation, Blood and The Journal of Immunology.

In The Last Decade

Nikhil Yawalkar

150 papers receiving 5.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nikhil Yawalkar Switzerland 43 2.8k 2.0k 1.5k 1.2k 956 158 5.5k
M. Bagot France 44 4.0k 1.4× 2.5k 1.2× 1.8k 1.2× 1.6k 1.3× 2.7k 2.9× 365 8.2k
Marzia Caproni Italy 35 1.4k 0.5× 1.5k 0.8× 296 0.2× 1.7k 1.5× 1.6k 1.7× 179 4.5k
Tadashi Terui Japan 34 1.4k 0.5× 2.0k 1.0× 197 0.1× 772 0.7× 630 0.7× 178 4.1k
Martine Bagot France 38 2.4k 0.9× 1.8k 0.9× 323 0.2× 630 0.5× 1.7k 1.8× 183 4.9k
Mikiko Tohyama Japan 31 719 0.3× 965 0.5× 963 0.6× 746 0.6× 312 0.3× 101 3.0k
Philippe Musette France 29 514 0.2× 1.5k 0.8× 1.3k 0.9× 1.4k 1.2× 832 0.9× 77 3.6k
Mayumi Ueta Japan 34 892 0.3× 1.2k 0.6× 2.3k 1.5× 1.4k 1.2× 776 0.8× 139 4.2k
Lazaros I. Sakkas Greece 38 554 0.2× 1.6k 0.8× 198 0.1× 1.6k 1.4× 1.4k 1.5× 151 4.6k
Menno A. de Rie Netherlands 33 2.1k 0.7× 2.6k 1.3× 86 0.1× 578 0.5× 592 0.6× 133 4.8k
Eduardo Fonseca Spain 27 903 0.3× 686 0.3× 181 0.1× 623 0.5× 521 0.5× 256 3.0k

Countries citing papers authored by Nikhil Yawalkar

Since Specialization
Citations

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

Fields of papers citing papers by Nikhil Yawalkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nikhil Yawalkar

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

All Works

20 of 20 papers shown
1.
Lam, Jordan, Simone Cazzaniga, S. Morteza Seyed Jafari, et al.. (2025). Treatment of Psoriasis with II-17 Inhibitors: Comparison of Long-Term Effectiveness and Drug Survival of Secukinumab vs Ixekizumab in Real-World Practice. PubMed. Volume 15. 71–84. 2 indexed citations
2.
3.
Bertschi, Nicole, Lisa Taylor, Susanne Radonjic‐Hoesli, et al.. (2023). 105 AhR agonism by tapinarof regulates TH2 and TH17 cell function in human skin. Journal of Investigative Dermatology. 143(11). S350–S350. 1 indexed citations
4.
Yan, Kexiang, et al.. (2023). MicroRNA-125a-5p regulates the effect of Tregs on Th1 and Th17 through targeting ETS-1/STAT3 in psoriasis. Journal of Translational Medicine. 21(1). 678–678. 10 indexed citations
5.
Möller, Burkhard, Jennifer Amsler, Adrian Ciurea, et al.. (2023). Biologic disease-modifying anti-rheumatic drugs are equally effective in psoriatic arthritis patients with low and high joint counts. Lara D. Veeken. 63(6). 1528–1533.
6.
Heidemeyer, Kristine, et al.. (2023). Dimethyl Fumarate Used as an Effective Treatment for Granuloma Annulare Disseminatum: An Immunohistochemical Case Study. International Journal of Molecular Sciences. 24(17). 13355–13355. 1 indexed citations
7.
Benzaquen, Michael, Laurence Feldmeyer, Vladimir U. Emelianov, et al.. (2022). Long-Term Dose Optimization of Adalimumab via Dose Spacing in Patients with Psoriasis. Bioengineering. 9(8). 387–387. 4 indexed citations
8.
Yan, Kexiang, Qing‐Ren Meng, Ling Han, et al.. (2022). iTRAQ‐based quantitative proteomics reveals biomarkers/pathways in psoriasis that can predict the efficacy of methotrexate. Journal of the European Academy of Dermatology and Venereology. 36(10). 1784–1795. 10 indexed citations
9.
10.
Huang, Qiong, et al.. (2022). B7-H4 Polymorphism Influences the Prevalence of Diabetes Mellitus and Pro-Atherogenic Dyslipidemia in Patients with Psoriasis. Journal of Clinical Medicine. 11(21). 6235–6235. 1 indexed citations
11.
Huang, Qiong, Xu Fang, Ke Yang, et al.. (2021). The Impact of ANxA6 Gene Polymorphism on the Efficacy of Methotrexate Treatment in Psoriasis Patients. Dermatology. 237(4). 579–587. 9 indexed citations
12.
Heidemeyer, Kristine, Laurence Feldmeyer, Simone Cazzaniga, et al.. (2020). Successful Treatment of Iatrogenic Cutaneous Siderosis with Pigment Lasers: A Retrospective Study in 15 Consecutive Patients. Acta Dermato Venereologica. 100(10). adv00148–adv00148. 9 indexed citations
13.
Özcan, Alaz, Dilara Şahin, Daniela Impellizzieri, et al.. (2019). Nanoparticle-Coupled Topical Methotrexate Can Normalize Immune Responses and Induce Tissue Remodeling in Psoriasis. Journal of Investigative Dermatology. 140(5). 1003–1014.e8. 37 indexed citations
14.
Maul, Julia‐Tatjana, Stefanie von Felten, Antonios G.A. Kolios, et al.. (2017). Supplementary Material for: Superiority in Quality of Life Improvement of Biologics over Conventional Systemic Drugs in a Swiss Real-Life Psoriasis Registry. Figshare. 1 indexed citations
15.
Möller, Burkhard, et al.. (2017). Skin Manifestations of Rheumatoid Arthritis, Juvenile Idiopathic Arthritis, and Spondyloarthritides. Clinical Reviews in Allergy & Immunology. 53(3). 371–393. 47 indexed citations
16.
Oberholzer, Patrick A., et al.. (2015). Prognostic markers in lentigo maligna patients treated with imiquimod cream: A long-term follow-up study. Journal of the American Academy of Dermatology. 74(1). 81–87.e1. 23 indexed citations
17.
Schlapbach, Christoph, Ahmed Gehad, Chao Yang, et al.. (2014). Human T H 9 Cells Are Skin-Tropic and Have Autocrine and Paracrine Proinflammatory Capacity. Science Translational Medicine. 6(219). 219ra8–219ra8. 163 indexed citations
18.
Spanou, Zoi, Patrick Schaerli, Markus Britschgi, et al.. (2006). T-Cell Regulated Neutrophilic Inflammation in Auto-Inflammatory Diseases. Journal of Allergy and Clinical Immunology. 117(2). S21–S21. 3 indexed citations
19.
Yamanaka, Keiichi, et al.. (2005). Decreased T-Cell Receptor Excision Circles in Cutaneous T-Cell Lymphoma. Clinical Cancer Research. 11(16). 5748–5755. 26 indexed citations
20.
Hari, Yvonne, Adrian Urwyler, Nikhil Yawalkar, et al.. (1999). Distinct Serum Cytokine Levels in Drug– and Measles–Induced Exanthema. International Archives of Allergy and Immunology. 120(3). 225–229. 41 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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