Robert Gniadecki

13.8k total citations · 1 hit paper
269 papers, 8.9k citations indexed

About

Robert Gniadecki is a scholar working on Dermatology, Immunology and Pathology and Forensic Medicine. According to data from OpenAlex, Robert Gniadecki has authored 269 papers receiving a total of 8.9k indexed citations (citations by other indexed papers that have themselves been cited), including 148 papers in Dermatology, 93 papers in Immunology and 87 papers in Pathology and Forensic Medicine. Recurrent topics in Robert Gniadecki's work include Cutaneous lymphoproliferative disorders research (74 papers), Psoriasis: Treatment and Pathogenesis (51 papers) and Lymphoma Diagnosis and Treatment (44 papers). Robert Gniadecki is often cited by papers focused on Cutaneous lymphoproliferative disorders research (74 papers), Psoriasis: Treatment and Pathogenesis (51 papers) and Lymphoma Diagnosis and Treatment (44 papers). Robert Gniadecki collaborates with scholars based in Denmark, Canada and United States. Robert Gniadecki's co-authors include Hans Christian Wulf, Lone Skov, Lars Iversen, T.N. Dam, Anita Petersen, Lars Erik Bryld, Ahmed Mourad, Edyta Biskup, B Gajkowska and Gregor B. E. Jemec and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Annals of Internal Medicine.

In The Last Decade

Robert Gniadecki

262 papers receiving 8.7k citations

Hit Papers

Adalimumab for the Treatm... 2012 2026 2016 2021 2012 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Robert Gniadecki 4.0k 3.1k 2.1k 1.9k 1.7k 269 8.9k
Sergio Chimenti 3.4k 0.9× 4.0k 1.3× 813 0.4× 1.0k 0.5× 1.2k 0.7× 187 7.2k
Chia‐Yu Chu 2.3k 0.6× 1.4k 0.4× 1.2k 0.6× 1.9k 1.0× 660 0.4× 214 8.0k
James T. Elder 3.0k 0.8× 5.4k 1.7× 659 0.3× 4.3k 2.2× 525 0.3× 175 11.2k
Jörg Reichrath 2.1k 0.5× 1.0k 0.3× 2.9k 1.4× 1.6k 0.8× 903 0.5× 215 6.8k
Robert A. Swerlick 727 0.2× 1.6k 0.5× 512 0.2× 1.9k 1.0× 550 0.3× 136 6.0k
Gary M. Tse 2.1k 0.5× 576 0.2× 3.5k 1.7× 2.4k 1.3× 693 0.4× 324 11.4k
Chunying Li 905 0.2× 1.9k 0.6× 405 0.2× 3.6k 1.9× 656 0.4× 301 8.2k
Poupak Fallahi 272 0.1× 2.1k 0.7× 1.6k 0.8× 1.9k 1.0× 1.7k 1.0× 298 10.8k
Thomas E. Moon 752 0.2× 421 0.1× 1.3k 0.6× 2.2k 1.2× 781 0.5× 107 7.9k
Marina Konopleva 811 0.2× 4.0k 1.3× 2.0k 0.9× 15.8k 8.2× 1.4k 0.9× 917 30.5k

Countries citing papers authored by Robert Gniadecki

Since Specialization
Citations

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

Fields of papers citing papers by Robert Gniadecki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Gniadecki

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Gniadecki. A scholar is included among the top collaborators of Robert Gniadecki 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 Robert Gniadecki. Robert Gniadecki 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
2.
Gniadecki, Robert, et al.. (2023). Architecture of skin inflammation in psoriasis revealed by spatial transcriptomics. Clinical Immunology. 256. 109771–109771. 6 indexed citations
3.
Iyer, Aishwarya, et al.. (2022). Clonotype pattern in T-cell lymphomas map the cell of origin to immature lymphoid precursors. Blood Advances. 6(7). 2334–2345. 14 indexed citations
4.
Iyer, Aishwarya, Sandra O’Keefe, Jordan Patterson, et al.. (2020). Branched evolution and genomic intratumor heterogeneity in the pathogenesis of cutaneous T-cell lymphoma. Blood Advances. 4(11). 2489–2500. 43 indexed citations
5.
Gniadecki, Robert, et al.. (2020). Effectiveness and safety of switching from originator to biosimilar adalimumab in patients with psoriasis. Dermatologic Therapy. 33(6). e14258–e14258. 2 indexed citations
6.
Muntyanu, Anastasiya, Elena Netchiporouk, William Gerstein, Robert Gniadecki, & Ivan V. Litvinov. (2020). Cutaneous Immune-Related Adverse Events (irAEs) to Immune Checkpoint Inhibitors: A Dermatology Perspective on Management. Journal of Cutaneous Medicine and Surgery. 25(1). 59–76. 116 indexed citations
7.
Alhusayen, Raed, et al.. (2019). Immunotherapy for Cutaneous T-Cell Lymphoma: Current Landscape and Future Developments. Journal of Cutaneous Medicine and Surgery. 23(5). 537–544. 14 indexed citations
8.
Iyer, Aishwarya, Sandra O’Keefe, Jordan Patterson, et al.. (2019). Clonotypic heterogeneity in cutaneous T-cell lymphoma (mycosis fungoides) revealed by comprehensive whole-exome sequencing. Blood Advances. 3(7). 1175–1184. 34 indexed citations
9.
Hamrouni, Abdelbasset, H Fogh, Zoulika Zak, Niels Ødum, & Robert Gniadecki. (2019). Clonotypic Diversity of the T-cell Receptor Corroborates the Immature Precursor Origin of Cutaneous T-cell Lymphoma. Clinical Cancer Research. 25(10). 3104–3114. 31 indexed citations
10.
Gniadecki, Robert & Ahmed Mourad. (2019). Differentiating malignant melanoma from other lesions using dermoscopy.. PubMed. 65(6). 412–414. 3 indexed citations
11.
Buus, Terkild B., Andreas Willerslev-Olsen, Simon Fredholm, et al.. (2018). Single-cell heterogeneity in Sézary syndrome. Blood Advances. 2(16). 2115–2126. 74 indexed citations
12.
Glud, Martin, Silje Haukali Omland, John Paoli, & Robert Gniadecki. (2017). [Mohs surgery for basal cell carcinoma].. PubMed. 179(6). 1 indexed citations
13.
Sokołowska‐Wojdyło, Małgorzata, Joanna Maj, Ewa Robak, et al.. (2017). Primary cutaneous lymphomas – diagnostic and therapeutic guidelines of the Polish Dermatological Society. Dermatology Review. 3. 243–268. 4 indexed citations
14.
Willerslev-Olsen, Andreas, Thorbjørn Krejsgaard, Lise M. Lindahl, et al.. (2016). Staphylococcal enterotoxin A (SEA) stimulates STAT3 activation and IL-17 expression in cutaneous T-cell lymphoma. Blood. 127(10). 1287–1296. 77 indexed citations
15.
Vieyra-Garcia, Pablo, Tianling Wei, Simon Fredholm, et al.. (2016). STAT3/5-Dependent IL9 Overexpression Contributes to Neoplastic Cell Survival in Mycosis Fungoides. Clinical Cancer Research. 22(13). 3328–3339. 36 indexed citations
16.
Gniadecki, Robert, et al.. (2015). Favourable results of Mohs micrographic surgery for basal cell carcinoma.. PubMed. 62(12). A5171–A5171. 15 indexed citations
17.
Kimball, Alexa B., Francisco A. Kerdel, David R. Adams, et al.. (2012). Adalimumab for the Treatment of Moderate to Severe Hidradenitis Suppurativa. Annals of Internal Medicine. 7 indexed citations
18.
Iversen, Lars, Sean Whittaker, Tim Illidge, et al.. (2004). HuMax-CD4, fully human monoclonal antibody: Phase II trial in cutaneous T cell lymphoma. Journal of Investigative Dermatology. 122(3). 2 indexed citations
19.
Kobayasi, T, Robert Gniadecki, & Jørgen Serup. (1995). Ultrastructure of murine epidermis treated with the vitamin D3 analogue KH-1060.. Acta Dermato Venereologica. 75(3). 222–227. 1 indexed citations
20.
Gniadecki, Robert, et al.. (1992). Alterations of skin microcirculatory rhythmic oscillations in different positions of the lower extremity.. Acta Dermato Venereologica. 72(4). 259–260. 6 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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