Imke Satzger

4.6k total citations
55 papers, 1.8k citations indexed

About

Imke Satzger is a scholar working on Oncology, Epidemiology and Molecular Biology. According to data from OpenAlex, Imke Satzger has authored 55 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Oncology, 19 papers in Epidemiology and 16 papers in Molecular Biology. Recurrent topics in Imke Satzger's work include Cutaneous Melanoma Detection and Management (28 papers), Nonmelanoma Skin Cancer Studies (18 papers) and Immunotherapy and Immune Responses (12 papers). Imke Satzger is often cited by papers focused on Cutaneous Melanoma Detection and Management (28 papers), Nonmelanoma Skin Cancer Studies (18 papers) and Immunotherapy and Immune Responses (12 papers). Imke Satzger collaborates with scholars based in Germany, United States and Italy. Imke Satzger's co-authors include Ralf Gutzmer, Alexander Kapp, B. Völker, Margarete Niebuhr, Florian Schenck, André Meier, Annice Heratizadeh, Thomas Werfel, A. Degen and Mareike Alter and has published in prestigious journals such as Journal of Clinical Oncology, Cancer and British Journal of Cancer.

In The Last Decade

Imke Satzger

54 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Imke Satzger Germany 26 1.2k 595 362 334 332 55 1.8k
Simona Osella‐Abate Italy 28 1.1k 0.9× 810 1.4× 373 1.0× 575 1.7× 403 1.2× 89 2.4k
Jens Ulrich Germany 21 1.2k 1.0× 521 0.9× 433 1.2× 362 1.1× 382 1.2× 72 1.8k
Véronique Winnepenninckx Netherlands 23 985 0.8× 935 1.6× 261 0.7× 385 1.2× 260 0.8× 67 2.0k
Magdalena Martinka Canada 26 728 0.6× 1.2k 2.1× 281 0.8× 444 1.3× 330 1.0× 62 2.3k
Yutaka Kawakami Japan 22 915 0.8× 777 1.3× 553 1.5× 681 2.0× 127 0.4× 37 2.4k
V. Través Spain 21 915 0.8× 516 0.9× 376 1.0× 168 0.5× 377 1.1× 107 1.5k
Thomas Jouary France 27 786 0.7× 782 1.3× 367 1.0× 488 1.5× 649 2.0× 83 2.1k
Eva Geissinger Germany 27 874 0.7× 599 1.0× 215 0.6× 653 2.0× 576 1.7× 79 2.3k
Friederike Egberts Germany 23 707 0.6× 613 1.0× 164 0.5× 245 0.7× 177 0.5× 57 1.3k
T Castel Spain 20 833 0.7× 554 0.9× 148 0.4× 363 1.1× 166 0.5× 62 1.3k

Countries citing papers authored by Imke Satzger

Since Specialization
Citations

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

Fields of papers citing papers by Imke Satzger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Imke Satzger

This figure shows the co-authorship network connecting the top 25 collaborators of Imke Satzger. A scholar is included among the top collaborators of Imke Satzger 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 Imke Satzger. Imke Satzger 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.
Möhn, Nora, Ralf Gutzmer, Imke Satzger, et al.. (2020). Diagnosis and Differential Diagnosis of Neurological Adverse Events during Immune Checkpoint Inhibitor Therapy. Journal of Oncology. 2020. 1–9. 7 indexed citations
2.
Satzger, Imke, et al.. (2019). Melanoma-specific survival in patients with positive sentinel lymph nodes: Relevance of sentinel tumor burden. European Journal of Cancer. 123. 83–91. 12 indexed citations
3.
Haferkamp, Sebastian, Carsten Weishaupt, Selma Ugurel, et al.. (2019). Combination of denosumab and immune checkpoint inhibition: experience in 29 patients with metastatic melanoma and bone metastases. Cancer Immunology Immunotherapy. 68(7). 1187–1194. 40 indexed citations
4.
Weichenthal, Michael, Selma Ugurel, Ulrike Leiter, et al.. (2019). Salvage therapy after failure from anti-PD-1 single agent treatment: A Study by the German ADOReg melanoma registry.. Journal of Clinical Oncology. 37(15_suppl). 9505–9505. 14 indexed citations
5.
Satzger, Imke, et al.. (2018). The mTOR-inhibitor Sirolimus decreases the cyclosporine-induced expression of the oncogene ATF3 in human keratinocytes. Journal of Dermatological Science. 92(2). 172–180. 7 indexed citations
6.
Satzger, Imke, et al.. (2017). Clinics, prognosis and new therapeutic options in patients with mucosal melanoma. Medicine. 96(1). e5753–e5753. 42 indexed citations
7.
Satzger, Imke, Vivien Schacht, Brigitta Köther, et al.. (2016). Characterisation of Prognosis and Invasion of Cutaneous Squamous Cell Carcinoma by Podoplanin and E-Cadherin Expression. Dermatology. 232(5). 558–565. 29 indexed citations
8.
Kretschmer, Lutz, Hans Peter Bertsch, Antonia Zapf, et al.. (2015). Nodal Basin Recurrence After Sentinel Lymph Node Biopsy for Melanoma. Medicine. 94(36). e1433–e1433. 12 indexed citations
9.
Satzger, Imke, Peter Mohr, Lisa Zimmer, et al.. (2015). Complete remission of metastatic melanoma upon BRAF inhibitor treatment – what happens after discontinuation?. Melanoma Research. 25(4). 362–366. 19 indexed citations
10.
Niebuhr, Margarete, et al.. (2014). Staphylococcal Exotoxins Induce Interleukin 22 in Human Th22 Cells. International Archives of Allergy and Immunology. 165(1). 35–39. 14 indexed citations
11.
Satzger, Imke, André Meier, Antonia Zapf, et al.. (2014). Is there a therapeutic benefit of complete lymph node dissection in melanoma patients with low tumor burden in the sentinel node?. Melanoma Research. 24(5). 454–461. 34 indexed citations
12.
Ghazal, Philipp Al, Ralf Gutzmer, Imke Satzger, et al.. (2013). Lower prevalence of lymphatic metastasis and poorer survival of the sentinel node-negative patients limit the prognostic value of sentinel node biopsy for head or neck melanomas. Melanoma Research. 24(2). 158–164. 6 indexed citations
13.
Degen, A., Mareike Alter, Florian Schenck, et al.. (2010). The hand‐foot‐syndrome associated with medical tumor therapy – classification and management. JDDG Journal der Deutschen Dermatologischen Gesellschaft. 8(9). 652–661. 107 indexed citations
14.
Kretschmer, Lutz, Hans Starz, Kai‐Martin Thoms, et al.. (2010). Age as a key factor influencing metastasizing patterns and disease‐specific survival after sentinel lymph node biopsy for cutaneous melanoma. International Journal of Cancer. 129(6). 1435–1442. 39 indexed citations
16.
Satzger, Imke, B. Völker, Dorothea Kofahl-Krause, et al.. (2008). Intravaskuläre B-Zell-Lymphome. Der Hautarzt. 60(2). 131–136. 2 indexed citations
17.
Scolyer, Richard A., Rajmohan Murali, Imke Satzger, & John F. Thompson. (2008). The detection and significance of melanoma micrometastases in sentinel nodes. Surgical Oncology. 17(3). 165–174. 37 indexed citations
18.
Satzger, Imke, B. Völker, André Meier, et al.. (2007). Prognostic Significance of Isolated HMB45 or Melan A Positive Cells in Melanoma Sentinel Lymph Nodes. The American Journal of Surgical Pathology. 31(8). 1175–1180. 51 indexed citations
19.
Gutzmer, Ralf, Imke Satzger, Kai‐Martin Thoms, et al.. (2007). Sentinel lymph node status is the most important prognostic factor for thick (≥ 4 mm) melanomas. JDDG Journal der Deutschen Dermatologischen Gesellschaft. 6(3). 198–203. 46 indexed citations
20.
Satzger, Imke, B. Völker, Alexander Kapp, & Ralf Gutzmer. (2006). Tumoral melanosis involving the sentinel lymph nodes: a case report. Journal of Cutaneous Pathology. 34(3). 284–286. 23 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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