CF Singer

1.2k citations
40 papers · 838 · h-index 13

Impact in

Papers in

    • HER2/EGFR in Cancer Research 8
    • Cancer Risks and Factors 5
    • Cancer Treatment and Pharmacology 4
    • Estrogen and related hormone effects 9

CF Singer

40 papers receiving 810 citations

Peers

CF Singer
Comparison fields: 5 of 80
  • Reproductive Medicine 496
  • Obstetrics and Gynecology 434
  • Oncology 212
  • Cancer Research 84
  • Genetics 92
Replace Masayoshi Hosaka with:
Masayoshi Hosaka Japan
Jill Tseng United States
Alessandro Lucidi Italy
Munetaka Takekuma Japan
Young Lae Cho South Korea
Maxime Fastrez Belgium
Małgorzata Walentowicz‐Sadlecka Poland
Mario Nardi Italy
Anna V. Hoekstra United States
Y. Ansquer France
CF Singer relative to Masayoshi Hosaka Japan Masayoshi Hosaka's profile →
Citations per field
00.5×2.8×
Masayoshi Hosaka · 1×
Citations per year

Countries citing papers authored by CF Singer

Since Specialization
Citations

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

Fields of papers citing papers by CF Singer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010194
2 2011148
3 2009121
4 200453
5 201051
6 201031
7 201131
8 201427
9 201419
10 200418
11 201116
12 201116
13 200813
14 201212
15
The matrix metalloproteinase-1 (MMP-1) expression in the human endometrium is inversely regulated by interleukin-1 alpha and sex steroids.
200012
16 201011
17 199710
18 20108
19 20047
20 20124

About CF Singer

CF Singer is a scholar working on Oncology, Genetics, Pulmonary and Respiratory Medicine, Cancer Research and Reproductive Medicine, having authored 40 papers that have together received 838 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (9 papers), HER2/EGFR in Cancer Research (8 papers), Breast Cancer Treatment Studies (7 papers), Endometriosis Research and Treatment (7 papers), Advanced Breast Cancer Therapies (7 papers), Cancer Risks and Factors (5 papers), Cancer Treatment and Pharmacology (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). The work is most often cited by research in Reproductive Medicine (496 citations), Obstetrics and Gynecology (434 citations), Oncology (212 citations), Cancer Research (84 citations) and Genetics (92 citations). CF Singer has collaborated with scholars based in Austria, United Kingdom and Germany. Frequent co-authors include Gernot Hudelist, J. Keckstein, A. Thomas, Jane A. English, Andrea Tinelli, F Tuttlies, G Rauter, E. Kubista, S. Banerjee and J. Timothy Wright. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, Ultrasound in Obstetrics and Gynecology, Human Reproduction and International Journal of Gynecological 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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