Voïchita Suciu

489 citations
29 papers · 269 · h-index 9

Impact in

Papers in

Voïchita Suciu

24 papers receiving 263 citations

Peers

Voïchita Suciu
Comparison fields: 5 of 42
  • Endocrinology, Diabetes and Metabolism 66
  • Pathology and Forensic Medicine 51
  • Cancer Research 40
  • Oncology 64
  • Dermatology 20
Replace Thais Maloberti with:
Thais Maloberti Italy
Sang Yu Nam South Korea
Sun Wook Han South Korea
Haipeng Guo China
Gordana Pupić Serbia
Dingcun Luo China
Katalin Ormándi Hungary
Adrian Gologan Canada
Nienke Solleveld‐Westerink Netherlands
Yasuo Toriumi Japan
Voïchita Suciu relative to Thais Maloberti Italy Thais Maloberti's profile →
Citations per field
00.5×3.3×
Thais Maloberti · 1×
Citations per year

Countries citing papers authored by Voïchita Suciu

Since Specialization
Citations

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

Fields of papers citing papers by Voïchita Suciu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200946
2 200732
3 200729
4 202125
5 202124
6 200619
7 200918
8 201511
9 20069
10 20158
11 20167
12 20127
13 20085
14 20234
15 20204
16 20094
17 20163
18 20223
19 20082
20 20082

About Voïchita Suciu

Voïchita Suciu is a scholar working on Pathology and Forensic Medicine, Surgery, Endocrinology, Diabetes and Metabolism, Cancer Research and Dermatology, having authored 29 papers that have together received 269 indexed citations. Recurring topics across this work include Breast Lesions and Carcinomas (9 papers), Breast Cancer Treatment Studies (6 papers), Thyroid Cancer Diagnosis and Treatment (5 papers), Cancer and Skin Lesions (5 papers), Ovarian cancer diagnosis and treatment (3 papers), Salivary Gland Tumors Diagnosis and Treatment (3 papers), AI in cancer detection (3 papers) and Head and Neck Anomalies (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (66 citations), Pathology and Forensic Medicine (51 citations), Cancer Research (40 citations), Oncology (64 citations) and Dermatology (20 citations). Voïchita Suciu has collaborated with scholars based in France, Norway and Italy. Frequent co-authors include Philippe Vielh, Suzette Delaloge, Isabelle Laurent, Ludovic Lacroix, Fabrice André, Véronique Scott, Catherine Uzan, Sophie Leboulleux, Torill Sauer and Vladimir Lazar. Their work appears in journals such as Diagnostic Cytopathology, Cytopathology, Cancer Cytopathology, Cancers and ESMO Open.

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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