Torill Sauer

18.5k citations
114 papers · 2.3k · h-index 26

Impact in

    • Breast Cancer Treatment Studies
    • Cancer Genomics and Diagnostics
  • Oncology top 5%
    • Cancer Cells and Metastasis
    • HER2/EGFR in Cancer Research

Papers in

    • Breast Cancer Treatment Studies 22
    • Cancer-related molecular mechanisms research 5
    • HER2/EGFR in Cancer Research 8

Torill Sauer

111 papers receiving 2.2k citations

Peers

Torill Sauer
Comparison fields: 5 of 101
  • Cancer Research 477
  • Oncology 646
  • Pathology and Forensic Medicine 306
  • Radiology, Nuclear Medicine and Imaging 311
  • Epidemiology 383
Replace Nicky D’Haene with:
Nicky D’Haene Belgium
Kiyoshi Mukai Japan
Evgeny Yakirevich United States
Luca Morandi Italy
James Pettay United States
Tammy Huang United States
Fabian Flores‐Borja United Kingdom
Enrico Munari Italy
J. S. Lanchbury United Kingdom
Erinn Downs‐Kelly United States
Torill Sauer relative to Nicky D’Haene Belgium Nicky D’Haene's profile →
Citations per field
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Nicky D’Haene · 1×
Citations per year

Countries citing papers authored by Torill Sauer

Since Specialization
Citations

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

Fields of papers citing papers by Torill Sauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003230
2 2005108
3 200591
4 199888
5 200382
6 201977
7
Detection of isolated tumor cells in bone marrow in early-stage breast carcinoma patients: comparison with preoperative clinical parameters and primary tumor characteristics.
200177
8 199673
9 199271
10 198368
11 199564
12 200760
13 200744
14 199844
15 201241
16 200539
17 200336
18 198535
19 201531
20 200428

About Torill Sauer

Torill Sauer is a scholar working on Cancer Research, Oncology, Epidemiology, Pathology and Forensic Medicine and Surgery, having authored 114 papers that have together received 2.3k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (22 papers), Breast Lesions and Carcinomas (22 papers), Cervical Cancer and HPV Research (14 papers), HER2/EGFR in Cancer Research (8 papers), Effects of Radiation Exposure (8 papers), Estrogen and related hormone effects (7 papers), Salivary Gland Tumors Diagnosis and Treatment (7 papers) and Cancer-related molecular mechanisms research (5 papers). The work is most often cited by research in Cancer Research (477 citations), Oncology (646 citations), Pathology and Forensic Medicine (306 citations), Radiology, Nuclear Medicine and Imaging (311 citations) and Epidemiology (383 citations). Torill Sauer has collaborated with scholars based in Norway, United States and Sweden. Frequent co-authors include Rolf Kåresen, Oddvar Næss, Jon B. Reitan, Carl W. Langberg, Martin Hauer‐Jensen, K. Nygaard, Ellen Schlichting, Daehoon Park, Elin Borgen and J. M. Nesland. Their work appears in journals such as Diagnostic Cytopathology, Breast Cancer Research and Treatment, Apmis, Acta Cytologica and Cytopathology.

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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