Cornelia Leo

1.6k citations
56 papers · 1.2k · h-index 22

Impact in

Papers in

Cornelia Leo

53 papers receiving 1.1k citations

Peers

Cornelia Leo
Comparison fields: 5 of 70
  • Cancer Research 328
  • Obstetrics and Gynecology 146
  • Pathology and Forensic Medicine 130
  • Oncology 140
  • Radiation 52
Replace Liting Qian with:
Liting Qian China
Jun Zhu China
Chiung‐Ru Lai Taiwan
Masanori Someya Japan
Casey W. Williamson United States
Paweł Blecharz Poland
Mei-Hua Tsou Taiwan
Neda A. Moatamed United States
Joerg Schwock Canada
Davide Disalvatore Italy
Cornelia Leo relative to Liting Qian China Liting Qian's profile →
Citations per field
00.5×2×3×4×4.8×
Liting Qian · 1×
Citations per year

Countries citing papers authored by Cornelia Leo

Since Specialization
Citations

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

Fields of papers citing papers by Cornelia Leo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200494
2 200883
3 200478
4 202352
5 201350
6 201950
7 200647
8 201947
9 202144
10 201641
11 200638
12 201734
13 201932
14 201531
15 200629
16 200527
17 202427
18 201626
19 200625
20 202025

About Cornelia Leo

Cornelia Leo is a scholar working on Cancer Research, Obstetrics and Gynecology, Oncology, Pathology and Forensic Medicine and Epidemiology, having authored 56 papers that have together received 1.2k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (13 papers), Endometrial and Cervical Cancer Treatments (8 papers), Cervical Cancer and HPV Research (6 papers), Cancer, Hypoxia, and Metabolism (6 papers), Breast Lesions and Carcinomas (6 papers), MRI in cancer diagnosis (4 papers), Neuroendocrine Tumor Research Advances (3 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Cancer Research (328 citations), Obstetrics and Gynecology (146 citations), Pathology and Forensic Medicine (130 citations), Oncology (140 citations) and Radiation (52 citations). Cornelia Leo has collaborated with scholars based in Switzerland, Germany and Austria. Frequent co-authors include Lars‐Christian Horn, Michael Höckel, Bettina Hentschel, Amato J. Giaccia, Nicholas C. Denko, Peter W. Vaupel, R. Huch, Arnulf Mayer, Alexander Wree and Henryk Pilch. Their work appears in journals such as European Journal of Surgical Oncology, Gynecologic Oncology, Breast Care, European Radiology and Breast Cancer Research and Treatment.

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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