Doris Schledermann

734 citations
28 papers · 353 · h-index 12

Impact in

Papers in

Doris Schledermann

26 papers receiving 349 citations

Peers

Doris Schledermann
Comparison fields: 5 of 47
  • Obstetrics and Gynecology 144
  • Reproductive Medicine 121
  • Epidemiology 192
  • Oncology 98
  • Microbiology 20
Replace Kung-Liahng Wang with:
Kung-Liahng Wang Taiwan
Christina Founta United Kingdom
Narges Izadi‐Mood Iran
Federica Sina Italy
Boniface Ndubisi United States
David Viveros‐Carreño Colombia
John Latimer United Kingdom
Claudio Gustavino Italy
J. Quaas Germany
Soheila Sarmadi Iran
Doris Schledermann relative to Kung-Liahng Wang Taiwan Kung-Liahng Wang's profile →
Citations per field
00.5×3.8×
Kung-Liahng Wang · 1×
Citations per year

Countries citing papers authored by Doris Schledermann

Since Specialization
Citations

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

Fields of papers citing papers by Doris Schledermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Doris Schledermann, 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 Doris Schledermann Line = papers co-authored together Doris Schledermann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201247
2 200729
3 201228
4 202127
5 200623
6 201422
7 201619
8 201317
9 200815
10 202114
11 202113
12 200411
13 201311
14 202210
15 20229
16 20219
17 20138
18 20227
19 20227
20 20196

About Doris Schledermann

Doris Schledermann is a scholar working on Epidemiology, Obstetrics and Gynecology, Reproductive Medicine, Surgery and Molecular Biology, having authored 28 papers that have together received 353 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (18 papers), Endometrial and Cervical Cancer Treatments (12 papers), Ovarian cancer diagnosis and treatment (8 papers), AI in cancer detection (4 papers), Molecular Biology Techniques and Applications (4 papers), Genital Health and Disease (3 papers), Global Cancer Incidence and Screening (3 papers) and Hepatitis B Virus Studies (2 papers). The work is most often cited by research in Obstetrics and Gynecology (144 citations), Reproductive Medicine (121 citations), Epidemiology (192 citations), Oncology (98 citations) and Microbiology (20 citations). Doris Schledermann has collaborated with scholars based in Denmark, Sweden and Netherlands. Frequent co-authors include Ole Mogensen, Gitte Ørtoft, Henrik Lajer, René dePont Christensen, Sandra Elnegaard, Kirsten Jochumsen, Pernille Ravn, Dorte Glintborg, Marianne Andersen and Alex Mremi. Their work appears in journals such as Acta Obstetricia Et Gynecologica Scandinavica, Gynecologic Oncology, Diagnostic Cytopathology, International Journal of Cancer and Acta Oncologica.

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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