A. Pfleiderer

112 papers receiving 1.4k citations

Peers

A. Pfleiderer
Comparison fields: 5 of 63
  • Reproductive Medicine 559
  • Obstetrics and Gynecology 307
  • Oncology 217
  • Epidemiology 218
  • Cancer Research 84
Replace Toshio Hirakawa with:
Toshio Hirakawa Japan
Mark M.O. Baekelandt Norway
Shu Yuan Liao United States
Herbert L. Kotz United States
Miki Hashimura Japan
Willibald Schroder Germany
Regina Berger Austria
Kouji Iida Japan
Masako Ishikawa Japan
Tomohito Tanaka Japan
A. Pfleiderer relative to Toshio Hirakawa Japan Toshio Hirakawa's profile →
Citations per field
00.5×2×2.7×
Toshio Hirakawa · 1×
Citations per year

Countries citing papers authored by A. Pfleiderer

Since Specialization
Citations

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

Fields of papers citing papers by A. Pfleiderer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 135 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990100
2 199591
3
Prognostic relevance of ploidy, proliferation, and resistance-predictive tests in ovarian carcinoma.
198590
4 198977
5 198975
6 198073
7 198865
8 199262
9 199257
10
Human papillomavirus DNA in invasive carcinoma of the vagina.
199045
11 199044
12 199335
13
[Histochemical and polarized light studies on amyloid].
195934
14 198934
15 199333
16 199433
17 195931
18 199431
19 199530
20 198929

About A. Pfleiderer

A. Pfleiderer is a scholar working on Reproductive Medicine, Obstetrics and Gynecology, Epidemiology, Oncology and Cancer Research, having authored 135 papers that have together received 1.6k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (64 papers), Endometrial and Cervical Cancer Treatments (37 papers), Cervical Cancer and HPV Research (20 papers), HER2/EGFR in Cancer Research (4 papers), Genomic variations and chromosomal abnormalities (3 papers), Breast Cancer Treatment Studies (3 papers), Salivary Gland Tumors Diagnosis and Treatment (2 papers) and Nausea and vomiting management (2 papers). The work is most often cited by research in Reproductive Medicine (559 citations), Obstetrics and Gynecology (307 citations), Oncology (217 citations), Epidemiology (218 citations) and Cancer Research (84 citations). A. Pfleiderer has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include W. Kleine, Thomas Bauknecht, Friedrich Kommoss, Hans Ikenberg, Willi Sauerbrei, Paul Bernd Diezel, Andreas du Bois, Marion Kiechle‐Schwarz, Hans Geyer and M Volm. Their work appears in journals such as Archives of Gynecology and Obstetrics, Gynecologic Oncology, Journal of Cancer Research and Clinical Oncology, International Journal of Gynecological Cancer and Cancer.

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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