Mihály Svébis
- Surgery
- Cancer Research top 10%
- Pathology and Forensic Medicine top 10%
- Oncology
- Pulmonary and Respiratory Medicine
- Topics
- Breast Lesions and Carcinomas (8 papers)Breast Cancer Treatment Studies (8 papers)Colorectal Cancer Surgical Treatments (3 papers)
In The Last Decade
Mihály Svébis
19 papers receiving 327 citations
Peers
Comparison fields: 5 of 40
- Surgery 196
- Cancer Research 193
- Pathology and Forensic Medicine 178
- Oncology 137
- Pulmonary and Respiratory Medicine 28
Countries citing papers authored by Mihály Svébis
This map shows the geographic impact of Mihály Svébis'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 Mihály Svébis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mihály Svébis more than expected).
Fields of papers citing papers by Mihály Svébis
This network shows the impact of papers produced by Mihály Svébis. 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 Mihály Svébis. The network helps show where Mihály Svébis may publish in the future.
Co-authorship network of co-authors of Mihály Svébis
This figure shows the co-authorship network connecting the top 25 collaborators of Mihály Svébis. A scholar is included among the top collaborators of Mihály Svébis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mihály Svébis. Mihály Svébis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 7 | |
| 3 | 25 | |
| 4 | 7 | |
| 5 | 7 | |
| 6 | 50 | |
| 7 | 20 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | [Sentinel lymph node biopsy for in situ carcinoma of the breast. Experience at the Bács-Kiskun County Hospital and review of the literature]. | 2 |
| 11 | 2 | |
| 12 | [Response rates following neoadjuvant chemotherapy and breast preserving treatment in patients with locally advanced breast cancer]. | 2 |
| 13 | [Early clinical experience with postoperative monitoring of a patient after laparoscopic splenectomy combined with spleen autotransplantation. A case report]. | 5 |
| 14 | 77 | |
| 15 | Sentinel node biopsy based factors associated with non-sentinel node involvement in breast cancer | 0 |
| 16 | 9 | |
| 17 | [Sentinel lymph node mapping in colorectal cancer]. | 2 |
| 18 | 51 | |
| 19 | [Sentinel node biopsy for breast cancer patients at the Bács-Kiskun County Teaching Hospital]. | 3 |
| 20 | 61 |
About Mihály Svébis
Mihály Svébis is a scholar working on Cancer Research, Pathology and Forensic Medicine and Dermatology, having authored 20 papers that have together received 340 indexed citations. Recurring topics across this work include Breast Lesions and Carcinomas (8 papers), Breast Cancer Treatment Studies (8 papers) and Colorectal Cancer Surgical Treatments (3 papers). The work is most often cited by research in Cancer Research (193 citations), Pathology and Forensic Medicine (178 citations) and Oncology (137 citations). Mihály Svébis has collaborated with scholars based in Hungary, Belgium and Czechia. Frequent co-authors include Gábor Cserni, Gábor Boross, Rita Bori, Róbert Maráz, Miklós Tarján, B Baltás, István Sejben, Vuk Fait, Jaroslav Koča and Tomáš Pavlík. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - General Subjects, World Journal of Surgery and Journal of Surgical Oncology.
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.