A. Seeber

465 total citations
8 papers, 300 citations indexed

About

A. Seeber is a scholar working on Epidemiology, Dermatology and Immunology. According to data from OpenAlex, A. Seeber has authored 8 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 4 papers in Dermatology and 2 papers in Immunology. Recurrent topics in A. Seeber's work include Inflammatory Myopathies and Dermatomyositis (3 papers), Psoriasis: Treatment and Pathogenesis (2 papers) and Dermatology and Skin Diseases (2 papers). A. Seeber is often cited by papers focused on Inflammatory Myopathies and Dermatomyositis (3 papers), Psoriasis: Treatment and Pathogenesis (2 papers) and Dermatology and Skin Diseases (2 papers). A. Seeber collaborates with scholars based in Austria, United Kingdom and United States. A. Seeber's co-authors include Adrian Tanew, Herbert Hönigsmann, Manon Der-Petrossian, Beatrix Volc‐Platzer, Guenther F. Wiesinger, Josef S Smolen, Martin Aringer, Michael Quittan, W. Graninger and Stanislava Tzaneva and has published in prestigious journals such as British Journal of Dermatology, Lara D. Veeken and Journal of the European Academy of Dermatology and Venereology.

In The Last Decade

A. Seeber

8 papers receiving 279 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Seeber Austria 6 162 139 77 69 67 8 300
Inger Pihl-Lundin Sweden 9 81 0.5× 66 0.5× 127 1.6× 84 1.2× 16 0.2× 12 377
Başak Kandi Türkiye 9 105 0.6× 70 0.5× 21 0.3× 33 0.5× 39 0.6× 22 421
Necmettin Kırtak Türkiye 12 134 0.8× 63 0.5× 104 1.4× 81 1.2× 10 0.1× 24 426
Emine Esra Karaca Türkiye 14 36 0.2× 50 0.4× 22 0.3× 53 0.8× 25 0.4× 47 516
Mustafa Özsütçü Türkiye 14 86 0.5× 47 0.3× 15 0.2× 38 0.6× 59 0.9× 43 561
Efstathia Pasmatzi Greece 11 97 0.6× 71 0.5× 59 0.8× 63 0.9× 4 0.1× 41 276
Gabriella Nagy Hungary 11 73 0.5× 75 0.5× 80 1.0× 42 0.6× 11 0.2× 38 357
Toshifumi Yamaoka Japan 9 54 0.3× 30 0.2× 42 0.5× 28 0.4× 41 0.6× 23 166
Jason Michaels United States 6 131 0.8× 30 0.2× 18 0.2× 124 1.8× 8 0.1× 9 376
June Hyunkyung Lee South Korea 10 205 1.3× 44 0.3× 34 0.4× 25 0.4× 50 0.7× 24 328

Countries citing papers authored by A. Seeber

Since Specialization
Citations

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

Fields of papers citing papers by A. Seeber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Seeber

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

All Works

8 of 8 papers shown
1.
Betteridge, Zoë, et al.. (2019). Paraneoplastic Dermatomyositis: relevance of myositis‐specific autoantibodies in a small cohort. Journal of the European Academy of Dermatology and Venereology. 34(2). e50–e51. 6 indexed citations
2.
Schmid, Michael, et al.. (2010). P79 Successful treatment of extramammary Paget's disease with topical imiquimod. Melanoma Research. 20. e78–e78. 1 indexed citations
3.
Tzaneva, Stanislava, A. Seeber, Herbert Hönigsmann, & Adrian Tanew. (2002). A comparison of psoralen plus ultraviolet A (PUVA) monotherapy, tacalcitol plus PUVA and tazarotene plus PUVA in patients with chronic plaque-type psoriasis. British Journal of Dermatology. 147(4). 748–753. 31 indexed citations
4.
Der-Petrossian, Manon, A. Seeber, Herbert Hönigsmann, & Adrian Tanew. (2000). Half-side comparison study on the efficacy of 8-methoxypsoralen bath-PUVA versus narrow-band ultraviolet B phototherapy in patients with severe chronic atopic dermatitis. British Journal of Dermatology. 142(1). 39–43. 93 indexed citations
5.
Seeber, A., et al.. (2000). Correlation between bathing time and photosensitivity in 8‐methoxypsoralen (8‐MOP) bath PUVA. Photodermatology Photoimmunology & Photomedicine. 16(4). 183–185. 7 indexed citations
6.
Seeber, A., et al.. (2000). Narrow‐band ultraviolet B (TL‐01) phototherapy is an effective and safe treatment option for patients with severe seborrhoeic dermatitis. British Journal of Dermatology. 143(5). 964–968. 40 indexed citations
7.
Wiesinger, Guenther F., Michael Quittan, Martin Aringer, et al.. (1998). Improvement of physical fitness and muscle strength in polymyositis/dermatomyositis patients by a training programme. Lara D. Veeken. 37(2). 196–200. 121 indexed citations
8.
Gottfried, Irit, et al.. (1996). [Established and new therapeutic approaches in dermatomyositis, polymyositis and overlapping syndromes].. PubMed. 108(22). 705–16. 1 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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