Erich Solomayer

3.6k total citations
73 papers, 2.3k citations indexed

About

Erich Solomayer is a scholar working on Oncology, Obstetrics and Gynecology and Reproductive Medicine. According to data from OpenAlex, Erich Solomayer has authored 73 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Oncology, 21 papers in Obstetrics and Gynecology and 18 papers in Reproductive Medicine. Recurrent topics in Erich Solomayer's work include Cancer Cells and Metastasis (14 papers), Endometrial and Cervical Cancer Treatments (11 papers) and Uterine Myomas and Treatments (11 papers). Erich Solomayer is often cited by papers focused on Cancer Cells and Metastasis (14 papers), Endometrial and Cervical Cancer Treatments (11 papers) and Uterine Myomas and Treatments (11 papers). Erich Solomayer collaborates with scholars based in Germany, United States and Poland. Erich Solomayer's co-authors include Tanja Fehm, D. Wallwiener, Sven Becker, Klaus Pantel, Wolfgang Janni, Bahriye Aktas, Sabine Kasimir‐Bauer, Volkmar Müller, Brigitte Rack and Sabine Riethdorf and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Oncology and Cancer.

In The Last Decade

Erich Solomayer

64 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erich Solomayer Germany 21 1.5k 1.0k 489 454 235 73 2.3k
Christian Schem Germany 24 913 0.6× 839 0.8× 790 1.6× 402 0.9× 103 0.4× 124 2.2k
Claudio Zamagni Italy 26 1.2k 0.8× 573 0.6× 416 0.9× 464 1.0× 187 0.8× 148 2.1k
Christina Aquino‐Parsons Canada 22 400 0.3× 664 0.7× 400 0.8× 223 0.5× 196 0.8× 52 1.5k
Joachim Rom Germany 25 637 0.4× 475 0.5× 437 0.9× 194 0.4× 236 1.0× 82 1.7k
J.C. Soria France 21 1.4k 0.9× 528 0.5× 1.0k 2.1× 980 2.2× 226 1.0× 124 2.8k
Anton Scharl Germany 20 644 0.4× 438 0.4× 248 0.5× 277 0.6× 203 0.9× 127 1.5k
Paul T. Fanta United States 28 1.1k 0.8× 1.2k 1.2× 617 1.3× 968 2.1× 492 2.1× 73 2.5k
Flavia Longo Italy 26 998 0.7× 417 0.4× 390 0.8× 910 2.0× 236 1.0× 71 2.0k
Salvatore Pisconti Italy 22 692 0.5× 396 0.4× 502 1.0× 434 1.0× 208 0.9× 97 1.7k
Katja Lindel Germany 22 708 0.5× 374 0.4× 322 0.7× 466 1.0× 610 2.6× 60 1.9k

Countries citing papers authored by Erich Solomayer

Since Specialization
Citations

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

Fields of papers citing papers by Erich Solomayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erich Solomayer

This figure shows the co-authorship network connecting the top 25 collaborators of Erich Solomayer. A scholar is included among the top collaborators of Erich Solomayer 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 Erich Solomayer. Erich Solomayer 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.
Nigdelis, Meletios P., et al.. (2025). Machine Learning Based Assessment Of Inguinal Lymph Node Metastasis In Patients With Squamous Cell Carcinoma Of The Vulva. International Journal of Gynecological Cancer. 35(2). 101525–101525.
2.
Melchior, Patrick, et al.. (2025). PD-L1+ CD49f+ CD133+ Circulating tumor cells predict outcome of patients with vulvar or cervical cancer after radio- and chemoradiotherapy. Journal of Translational Medicine. 23(1). 321–321. 1 indexed citations
3.
Breitbach, G. P., et al.. (2023). A Metastasis of Ovarian Cancer in the Bartholin Gland: A Case Report with Systematic Literature Review. Reproductive Sciences. 31(2). 550–554. 3 indexed citations
4.
Fehm, Tanja, et al.. (2022). Management von Zervixdysplasien und Zervixkarzinom in der Schwangerschaft. TumorDiagnostik & Therapie. 43(3). 167–179.
5.
Juhasz‐Böss, Ingolf, et al.. (2019). Diagnostik und Therapie benigner und prämaligner Veränderungen des Endometriums. 13(6). 511–529. 1 indexed citations
6.
Findeklee, Sebastian, Julia Caroline Radosa, Z Takacs, et al.. (2019). Fertility preservation in female cancer patients: current knowledge and future perspectives. PubMed. 71(4). 298–305. 6 indexed citations
7.
Juhasz‐Böss, Ingolf, et al.. (2016). Two novel classification systems for uterine fibroids and subsequent uterine reconstruction after myomectomy. Archives of Gynecology and Obstetrics. 295(3). 675–680. 9 indexed citations
8.
Solomayer, Erich, et al.. (2012). Comparison of Total and Supracervical Laparoscopic Hysterectomy for Benign Disease in a Collective of 200 Patients. Journal of Gynecologic Surgery. 28(5). 333–337. 2 indexed citations
9.
Mueller, Volkmar, Sabine Riethdorf, Brigitte Rack, et al.. (2012). Serum HER2 in the context of circulating tumor cells in patients with metastatic breast cancer.. Journal of Clinical Oncology. 30(15_suppl). 10599–10599. 1 indexed citations
10.
Solomayer, Erich, et al.. (2012). Knock down of p53 or its ubiquitin ligase E6AP does not affect the sensitivity of human papillomavirus-positive cervical cancer cells to cisplatin.. PubMed. 2(3). 309–21. 7 indexed citations
11.
Janni, Wolfgang, Florian D. Vogl, Gro Wiedswang, et al.. (2011). Persistence of Disseminated Tumor Cells in the Bone Marrow of Breast Cancer Patients Predicts Increased Risk for Relapse—A European Pooled Analysis. Clinical Cancer Research. 17(9). 2967–2976. 192 indexed citations
12.
Fehm, Tanja, Oliver Hoffmann, Bahriye Aktas, et al.. (2009). Detection and characterization of circulating tumor cells in blood of primary breast cancer patients by RT-PCR and comparison to status of bone marrow disseminated cells. Breast Cancer Research. 11(4). R59–R59. 193 indexed citations
13.
Müller, Volkmar, Tanja Fehm, Wolfgang Janni, et al.. (2009). Clinical Relevance of Disseminated Tumor Cells in the Bone Marrow and Circulating Tumor Cells in the Blood of Breast Cancer Patients. Breast Care. 4(5). 333–338. 4 indexed citations
14.
15.
Fehm, Tanja, et al.. (2007). LRRC15 in breast cancer: Description of two transcript isoforms and identification of genotypical polymorphisms in cells lines with different invasion abilities. Cancer Research. 67. 2020–2020. 2 indexed citations
16.
Neubauer, Hans, Tanja Fehm, Christina Schütz, et al.. (2007). Proteomic Expression Profiling of Breast Cancer. PubMed. 176. 89–120. 4 indexed citations
17.
18.
Solomayer, Erich, Sven Becker, Robert Bachmann, et al.. (2006). Comparison of HER2 status between primary tumor and disseminated tumor cells in␣primary breast cancer patients. Breast Cancer Research and Treatment. 98(2). 179–184. 100 indexed citations
19.
Fehm, Tanja, Wolfram Jäger, Stefan Krämer, et al.. (2004). Prognostic significance of serum HER2 and CA 15-3 at the time of diagnosis of metastatic breast cancer.. PubMed. 24(3b). 1987–92. 43 indexed citations
20.
Hensel, Manfred, Andreas Schneeweiß, Hans‐Peter Sinn, et al.. (2002). Stem Cell Dose and Tumorbiologic Parameters as Prognostic Markers for Patients with Metastatic Breast Cancer Undergoing High-Dose Chemotherapy with Autologous Blood Stem Cell Support. Stem Cells. 20(1). 32–40. 8 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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