Ali Sever

53 papers receiving 1.5k citations

Peers

Ali Sever
Comparison fields: 5 of 97
  • Cancer Research 665
  • Pathology and Forensic Medicine 387
  • Oncology 364
  • Surgery 367
  • Dermatology 55
Replace Paolo Arnone with:
Paolo Arnone Italy
Anita Ringberg Sweden
Daniela Terribile Italy
Robert L. Goodman United States
Jung‐Hyun Yang South Korea
Carla S. Fisher United States
Antonio Toesca Italy
Judith Mills United Kingdom
Jennifer L. Gnerlich United States
Ashutosh Kothari United Kingdom
Ali Sever relative to Paolo Arnone Italy Paolo Arnone's profile →
Citations per field
00.5×2×3.2×
Paolo Arnone · 1×
Citations per year

Countries citing papers authored by Ali Sever

Since Specialization
Citations

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

Fields of papers citing papers by Ali Sever

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006143
2 2013140
3 2011115
4 2001104
5 200985
6 201371
7 201670
8 201268
9 201563
10
Clinical utility of ultrasound-needle biopsy for preoperative staging of the axilla in invasive breast cancer.
201454
11 201645
12 201243
13 201640
14 201036
15 201536
16 201632
17 201930
18 201727
19 201027
20 201323

About Ali Sever

Ali Sever is a scholar working on Cancer Research, Oncology, Pathology and Forensic Medicine, Surgery and Pulmonary and Respiratory Medicine, having authored 60 papers that have together received 1.5k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (22 papers), Breast Lesions and Carcinomas (11 papers), Cancer Treatment and Pharmacology (6 papers), Advanced Breast Cancer Therapies (3 papers), Cancer Risks and Factors (3 papers), Breast Implant and Reconstruction (3 papers), Endometriosis Research and Treatment (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Cancer Research (665 citations), Pathology and Forensic Medicine (387 citations), Oncology (364 citations), Surgery (367 citations) and Dermatology (55 citations). Ali Sever has collaborated with scholars based in United Kingdom, Türkiye and Netherlands. Frequent co-authors include Peter A. Jones, David E. Fish, Kadri Altundağ, Karina Cox, P. Mills, A. Özdemir Aktan, Susan Jones, J. Weeks, S.C.E. Diepstraten and Taner Babacan. Their work appears in journals such as European Journal of Surgical Oncology, The Breast, Clinical Radiology, Journal of Clinical Oncology and American Journal of Roentgenology.

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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