Paulette Herlin
- Oncology top 10%
- Molecular Biology
- Cancer Research top 10%
- Pulmonary and Respiratory Medicine top 10%
- Artificial Intelligence top 5%
- Co-authors
- Benoît PlancoulaineNicolas ElieAida LaurinavičienėArvydas LaurinavičiusPascal GauduchonJacques ChasleA.M. MandardJ. Marnay
- Topics
- AI in cancer detection (19 papers)Radiomics and Machine Learning in Medical Imaging (15 papers)Cancer Genomics and Diagnostics (11 papers)
- Cited by
- BiophysicsCancer ResearchOncology
- Journals
- SHILAP Revista de lepidopterologíaCancerBreast Cancer Research
- Partner nations
- FranceLithuaniaLuxembourg
In The Last Decade
Paulette Herlin
59 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 104
- Oncology 400
- Molecular Biology 282
- Cancer Research 254
- Pulmonary and Respiratory Medicine 251
- Artificial Intelligence 241
Countries citing papers authored by Paulette Herlin
This map shows the geographic impact of Paulette Herlin'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 Paulette Herlin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paulette Herlin more than expected).
Fields of papers citing papers by Paulette Herlin
This network shows the impact of papers produced by Paulette Herlin. 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 Paulette Herlin. The network helps show where Paulette Herlin may publish in the future.
Co-authorship network of co-authors of Paulette Herlin
This figure shows the co-authorship network connecting the top 25 collaborators of Paulette Herlin. A scholar is included among the top collaborators of Paulette Herlin 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 Paulette Herlin. Paulette Herlin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 33 | |
| 2 | 38 | |
| 3 | 80 | |
| 4 | 35 | |
| 5 | 74 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 58 | |
| 9 | 4 | |
| 10 | 2 | |
| 11 | 44 | |
| 12 | Mathematical morphologic segmentation dedicated to quantitative immunohistochemistry. | 8 |
| 13 | 21 | |
| 14 | 31 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 5 | |
| 18 | 133 | |
| 19 | 1 | |
| 20 | [Cancer of the esophagus induced in the Wistar rat by ethyl-N-butyl-nitrosamine]. | 3 |
About Paulette Herlin
Paulette Herlin is a scholar working on Biophysics, Cancer Research and Radiology, Nuclear Medicine and Imaging, having authored 59 papers that have together received 1.1k indexed citations. Recurring topics across this work include AI in cancer detection (19 papers), Radiomics and Machine Learning in Medical Imaging (15 papers) and Cancer Genomics and Diagnostics (11 papers). The work is most often cited by research in Biophysics (141 citations), Cancer Research (254 citations) and Oncology (400 citations). Paulette Herlin has collaborated with scholars based in France, Lithuania and Luxembourg. Frequent co-authors include Benoît Plancoulaine, Nicolas Elie, Aida Laurinavičienė, Arvydas Laurinavičius, Pascal Gauduchon, Jacques Chasle, A.M. Mandard, J. Marnay, Justinas Besusparis and Darius Dasevičius. Their work appears in journals such as SHILAP Revista de lepidopterología, Cancer and Breast Cancer Research.
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.