Sven Ackermann

1.3k citations
25 papers · 950 · h-index 12

Impact in

Papers in

Sven Ackermann

21 papers receiving 922 citations

Peers

Sven Ackermann
Comparison fields: 5 of 69
  • Reproductive Medicine 393
  • Obstetrics and Gynecology 194
  • Cancer Research 110
  • Oncology 186
  • Surgery 158
Replace Scott T. Goodrich with:
Scott T. Goodrich United States
Eric Pujade‐Lauraine France
Christina A. Bandera United States
Stelios Fotiou Greece
Ursula Denison Austria
Mariko Sakata Japan
Moon‐Hong Kim South Korea
Valentina Zanfagnin United States
Aki Isobe Japan
Ingirídur Skírnisdóttir Sweden
Sven Ackermann relative to Scott T. Goodrich United States Scott T. Goodrich's profile →
Citations per field
00.5×2×2.7×
Scott T. Goodrich · 1×
Citations per year

Countries citing papers authored by Sven Ackermann

Since Specialization
Citations

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

Fields of papers citing papers by Sven Ackermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sven Ackermann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sven Ackermann Line = papers co-authored together Sven Ackermann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005345
2 2006142
3 2020127
4
An interleukin-6 gene promoter polymorphism influences the biological phenotype of ovarian cancer.
200377
5 200443
6 202138
7 202329
8 201926
9 200526
10 200521
11
Effects of the antiestrogens tamoxifen and raloxifene on the estrogen receptor transactivation machinery.
200616
12 201915
13 202212
14 200511
15 20067
16 20034
17 20243
18 20243
19 20052
20 20231

About Sven Ackermann

Sven Ackermann is a scholar working on Obstetrics and Gynecology, Reproductive Medicine, Epidemiology, Pediatrics, Perinatology and Child Health and Genetics, having authored 25 papers that have together received 950 indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (7 papers), Ovarian cancer diagnosis and treatment (5 papers), Cervical Cancer and HPV Research (4 papers), Prenatal Screening and Diagnostics (3 papers), BRCA gene mutations in cancer (3 papers), Breast Cancer Treatment Studies (2 papers), Genital Health and Disease (2 papers) and Uterine Myomas and Treatments (2 papers). The work is most often cited by research in Reproductive Medicine (393 citations), Obstetrics and Gynecology (194 citations), Cancer Research (110 citations), Oncology (186 citations) and Surgery (158 citations). Sven Ackermann has collaborated with scholars based in Germany, Austria and Switzerland. Frequent co-authors include Matthias W. Beckmann, Peter Andreas Fasching, Reiner Strick, Steffen Wolfgang Schubert, Pamela L. Strissel, Manuela Langbein, Ralf Lothar Schild, Said Hashemolhosseini, Sabine Malur and Christoph Grimm. Their work appears in journals such as European Journal of Cancer Prevention, Breast Cancer Research and Treatment, Critical Care, JAMA Oncology and JNCI Journal of the National Cancer Institute.

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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