Leonidas Arvanitis
Impact in
- Genetics top 10%
- Glioma Diagnosis and Treatment
-
- Cell Adhesion Molecules Research
Papers in
-
- Sarcoma Diagnosis and Treatment 6
- Lung Cancer Treatments and Mutations 5
- Medical Imaging and Pathology Studies 3
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- Glycosylation and Glycoproteins Research 7
- Co-authors
- Erminia Massarelli (7 shared papers)Ravi Salgia (10 shared papers)Isa Mambetsariev (9 shared papers)Paolo Gattuso (5 shared papers)Wendong Li (3 shared papers)Keqiang Zhang (3 shared papers)Ting Sun (3 shared papers)Rajendra P. Pangeni (2 shared papers)
- Journals
- iScience (3 papers)Diagnostic Cytopathology (2 papers)Brain Pathology (2 papers)Journal of Clinical Medicine (2 papers)Cell Communication and Signaling (2 papers)
- Partner nations
- United StatesGreeceChina
In The Last Decade
Leonidas Arvanitis
44 papers receiving 415 citations
Peers
Comparison fields: 5 of 56
- Genetics 86
- Immunology and Allergy 26
- Oncology 106
- Cancer Research 47
- Neurology 45
Countries citing papers authored by Leonidas Arvanitis
This map shows the geographic impact of Leonidas Arvanitis'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 Leonidas Arvanitis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leonidas Arvanitis more than expected).
Fields of papers citing papers by Leonidas Arvanitis
This network shows the impact of papers produced by Leonidas Arvanitis. 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 Leonidas Arvanitis. The network helps show where Leonidas Arvanitis may publish in the future.
Co-authors
The 25 scholars most cited alongside Leonidas Arvanitis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 49 | |
| 2 | 2007 | 33 | |
| 3 | 2020 | 32 | |
| 4 | 2020 | 25 | |
| 5 | 2022 | 23 | |
| 6 | 2010 | 22 | |
| 7 | 2022 | 17 | |
| 8 | 2023 | 16 | |
| 9 | 2005 | 15 | |
| 10 | 2022 | 15 | |
| 11 | 2016 | 11 | |
| 12 | 2015 | 10 | |
| 13 | 2023 | 9 | |
| 14 | 2010 | 9 | |
| 15 | 2023 | 8 | |
| 16 | 2019 | 8 | |
| 17 | 2010 | 7 | |
| 18 | 2023 | 7 | |
| 19 | 2006 | 7 | |
| 20 | 2006 | 7 |
About Leonidas Arvanitis
Leonidas Arvanitis is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Oncology, Immunology and Epidemiology, having authored 50 papers that have together received 418 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (8 papers), Glycosylation and Glycoproteins Research (7 papers), Sarcoma Diagnosis and Treatment (6 papers), Galectins and Cancer Biology (5 papers), Lung Cancer Treatments and Mutations (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), Medical Imaging and Pathology Studies (3 papers) and Cell Adhesion Molecules Research (3 papers). The work is most often cited by research in Genetics (86 citations), Immunology and Allergy (26 citations), Oncology (106 citations), Cancer Research (47 citations) and Neurology (45 citations). Leonidas Arvanitis has collaborated with scholars based in United States, Greece and China. Frequent co-authors include Erminia Massarelli, Ravi Salgia, Isa Mambetsariev, Paolo Gattuso, Wendong Li, Keqiang Zhang, Ting Sun, Rajendra P. Pangeni, Dimitrios Arvanitis and Dan J. Raz. Their work appears in journals such as iScience, Diagnostic Cytopathology, Brain Pathology, Journal of Clinical Medicine and Cell Communication and Signaling.
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.