Manuela Vecsler
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Pharmacology top 1%
- Pharmacogenetics and Drug Metabolism
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 4
- Genetics 4
- Genetics and Neurodevelopmental Disorders 4
- Co-authors
- Eva Gak (7 shared papers)Ronen Loebstein (3 shared papers)Shlomo Almog (3 shared papers)Hillel Halkin (3 shared papers)Daniel Kurnik (2 shared papers)Chaim Linhart (4 shared papers)Judith Sandbank (5 shared papers)Daphna Laifenfeld (2 shared papers)
- Journals
- PLoS ONE (3 papers)Clinical Breast Cancer (1 paper)ESMO Open (1 paper)The Lancet Digital Health (1 paper)Blood (1 paper)
- Partner nations
- IsraelUnited StatesFrance
In The Last Decade
Manuela Vecsler
15 papers receiving 833 citations
Manuela Vecsler's Hit Papers
Peers
Comparison fields: 5 of 91
- Health Informatics 65
- Pharmacology 243
- Biochemistry 54
- Radiology, Nuclear Medicine and Imaging 150
- Endocrinology, Diabetes and Metabolism 93
Countries citing papers authored by Manuela Vecsler
This map shows the geographic impact of Manuela Vecsler'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 Manuela Vecsler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manuela Vecsler more than expected).
Fields of papers citing papers by Manuela Vecsler
This network shows the impact of papers produced by Manuela Vecsler. 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 Manuela Vecsler. The network helps show where Manuela Vecsler may publish in the future.
Co-authors
The 25 scholars most cited alongside Manuela Vecsler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | An artificial intelligence algorithm for prostate cancer diagnosis in whole slide images of core needle biopsies: a blinded clinical validation and deployment study Hit paper breakdown → | 2020 | 225 |
| 2 | 2006 | 128 | |
| 3 | 2006 | 126 | |
| 4 | 2022 | 74 | |
| 5 | 2005 | 68 | |
| 6 | 2010 | 68 | |
| 7 | 2011 | 42 | |
| 8 | 2010 | 23 | |
| 9 | 2013 | 20 | |
| 10 | 2013 | 20 | |
| 11 | 2013 | 16 | |
| 12 | 2024 | 15 | |
| 13 | 2006 | 14 | |
| 14 | 2024 | 9 | |
| 15 | 2025 | 4 | |
| 16 | 2024 | 0 | |
| 17 | 2025 | 0 |
About Manuela Vecsler
Manuela Vecsler is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics, Molecular Biology, Artificial Intelligence and Oncology, having authored 17 papers that have together received 852 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (4 papers), Genetics and Neurodevelopmental Disorders (4 papers), AI in cancer detection (3 papers), Pharmacogenetics and Drug Metabolism (2 papers), Eicosanoids and Hypertension Pharmacology (1 paper), Autism Spectrum Disorder Research (1 paper), Ubiquitin and proteasome pathways (1 paper) and Plant Molecular Biology Research (1 paper). The work is most often cited by research in Health Informatics (65 citations), Pharmacology (243 citations), Biochemistry (54 citations), Radiology, Nuclear Medicine and Imaging (150 citations) and Endocrinology, Diabetes and Metabolism (93 citations). Manuela Vecsler has collaborated with scholars based in Israel, United States and France. Frequent co-authors include Eva Gak, Ronen Loebstein, Shlomo Almog, Hillel Halkin, Daniel Kurnik, Chaim Linhart, Judith Sandbank, Daphna Laifenfeld, Ninette Amariglio and Gideon Rechavi. Their work appears in journals such as PLoS ONE, Clinical Breast Cancer, ESMO Open, The Lancet Digital Health and Blood.
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.