Sonja Seidl

759 total citations
25 papers, 599 citations indexed

About

Sonja Seidl is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Sonja Seidl has authored 25 papers receiving a total of 599 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 11 papers in Hematology and 8 papers in Genetics. Recurrent topics in Sonja Seidl's work include Multiple Myeloma Research and Treatments (8 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Epigenetics and DNA Methylation (5 papers). Sonja Seidl is often cited by papers focused on Multiple Myeloma Research and Treatments (8 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Epigenetics and DNA Methylation (5 papers). Sonja Seidl collaborates with scholars based in Austria, Germany and United States. Sonja Seidl's co-authors include Johannes Drach, H. Kaufmann, Sabine Zöchbauer‐Müller, John D. Minna, Adi F. Gazdar, Christoph Zielinski, Arvind K. Virmani, Stephen Lam, Shinichi Toyooka and Kiyomi O. Toyooka and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Cancer.

In The Last Decade

Sonja Seidl

24 papers receiving 589 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sonja Seidl Austria 11 430 190 113 76 61 25 599
Paola Sterpetti Italy 9 378 0.9× 102 0.5× 121 1.1× 51 0.7× 78 1.3× 11 646
Carlos A Tirado United States 14 336 0.8× 247 1.3× 112 1.0× 71 0.9× 42 0.7× 80 660
Hanne Hella Norway 11 374 0.9× 158 0.8× 121 1.1× 68 0.9× 85 1.4× 18 554
Stéphanie Struski France 16 264 0.6× 171 0.9× 112 1.0× 84 1.1× 76 1.2× 30 596
Kristi L. Bennett United States 12 529 1.2× 79 0.4× 103 0.9× 156 2.1× 59 1.0× 13 674
M Tweeddale Canada 7 120 0.3× 188 1.0× 107 0.9× 66 0.9× 45 0.7× 8 399
Stefan O. Peters Germany 8 162 0.4× 186 1.0× 114 1.0× 32 0.4× 49 0.8× 15 390
N Aoki Japan 10 173 0.4× 233 1.2× 85 0.8× 52 0.7× 34 0.6× 12 446
F Desangles France 9 339 0.8× 206 1.1× 77 0.7× 106 1.4× 90 1.5× 18 552
Na Luo China 13 373 0.9× 262 1.4× 115 1.0× 180 2.4× 64 1.0× 22 715

Countries citing papers authored by Sonja Seidl

Since Specialization
Citations

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

Fields of papers citing papers by Sonja Seidl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sonja Seidl

This figure shows the co-authorship network connecting the top 25 collaborators of Sonja Seidl. A scholar is included among the top collaborators of Sonja Seidl 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 Sonja Seidl. Sonja Seidl 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.
Hassler, Marco, Sonja Seidl, Matthias Preusser, et al.. (2006). Diversity of cytogenetic and pathohistologic profiles in glioblastoma. Cancer Genetics and Cytogenetics. 166(1). 46–55. 22 indexed citations
2.
Drach, Johannes, H. Kaufmann, Verena Sagaster, et al.. (2006). Marked activity of bortezomib, rituximab, and dexamethasone (BORID) in heavily pretreated patients with mantle cell lymphoma. Journal of Clinical Oncology. 24(18_suppl). 17522–17522. 5 indexed citations
3.
Wessely, Rainer, Sonja Seidl, & Albert Schömig. (2005). Cardiac involvement in Emery–Dreifuss muscular dystrophy. Clinical Genetics. 67(3). 220–223. 12 indexed citations
4.
Drach, Johannes, Sonja Seidl, & H. Kaufmann. (2005). Treatment of mantle cell lymphoma: targeting the microenvironment. Expert Review of Anticancer Therapy. 5(3). 477–485. 8 indexed citations
5.
Zöchbauer‐Müller, Sabine, Kwun M. Fong, Joseph Geradts, et al.. (2005). Expression of the candidate tumor suppressor gene hSRBC is frequently lost in primary lung cancers with and without DNA methylation. Oncogene. 24(41). 6249–6255. 37 indexed citations
6.
Heller, Gerwin, Kwun M. Fong, Luc Girard, et al.. (2005). Expression and methylation pattern of TSLC1 cascade genes in lung carcinomas. Oncogene. 25(6). 959–968. 67 indexed citations
7.
Drach, Johannes, et al.. (2005). Promising Activity of Bortezomib, Rituximab, and Dexamethason (BORID) in Patients with Relapsed Mantle Cell Lymphoma.. Blood. 106(11). 4799–4799. 1 indexed citations
8.
Seidl, Sonja, Jutta Ackermann, H. Kaufmann, et al.. (2004). DNA‐methylation analysis identifies the E‐cadherin gene as a potential marker of disease progression in patients with monoclonal gammopathies. Cancer. 100(12). 2598–2606. 56 indexed citations
9.
10.
Wöhrer, Stefan, Jutta Ackermann, Sonja Seidl, et al.. (2004). Effective treatment of primary plasma cell leukemia with thalidomide and dexamethasone – a case report. The Hematology Journal. 5(4). 361–363. 10 indexed citations
11.
Zöchbauer‐Müller, Sabine, Stephen Lam, Shinichi Toyooka, et al.. (2003). Aberrant methylation of multiple genes in the upper aerodigestive tract epithelium of heavy smokers. International Journal of Cancer. 107(4). 612–616. 116 indexed citations
12.
Rabitsch, Werner, Erika Prinz, Jutta Ackermann, et al.. (2003). Long‐term follow up of patients with multiple myeloma after high‐dose chemotherapy and allogeneic stem cell transplantation. European Journal Of Haematology. 72(1). 26–31. 6 indexed citations
13.
Seidl, Sonja, H. Kaufmann, & Johannes Drach. (2003). New insights into the pathophysiology of multiple myeloma. The Lancet Oncology. 4(9). 557–564. 106 indexed citations
14.
Debbage, Paul, E. Sölder, Sonja Seidl, et al.. (2001). Intravital lectin perfusion analysis of vascular permeability in human micro- and macro- blood vessels. Histochemistry and Cell Biology. 116(4). 349–359. 25 indexed citations
15.
Debbage, Paul, Sonja Seidl, Alfons Kreczy, et al.. (2000). Vascular permeability and hyperpermeability in a murine adenocarcinoma after fractionated radiotherapy: an ultrastructural tracer study. Histochemistry and Cell Biology. 114(4). 259–275. 26 indexed citations
16.
Saradeth, T., Sonja Seidl, Karl Ludwig Resch, & E. Ernst. (1994). Does garlic alter the lipid pattern in normal volunteers?. Phytomedicine. 1(3). 183–185. 32 indexed citations
17.
Seidl, Sonja, et al.. (1992). Prävention der Posttransfusions-Non A, Non B-Hepatitis durch Anti-HCV-Screening. Transfusion Medicine and Hemotherapy. 19(3). 157–159. 1 indexed citations
18.
Seidl, Sonja, et al.. (1970). Die Bestimmung der Thrombozyten-Überlebenszeit und Oberflächenaktivität bei Patienten mit idiopathisch thrombopenischer Purpura. DMW - Deutsche Medizinische Wochenschrift. 95(6). 266–275. 1 indexed citations
19.
Hirsch, Hans H., Sonja Seidl, & K Breddin. (1966). Über die Lebensdauer der menschlichen markierten Thrombocyten nach der Behandlung mit dem extrakorporalen Kreislauf. Langenbeck s Archives of Surgery. 316(1). 650–655. 1 indexed citations
20.
Seidl, Sonja. (1962). [The antibiotic treatment of infantile enteritis with humatin].. PubMed. 57. 1010–3.

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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