Paulette Herlin

1.5k total citations
59 papers, 1.1k citations indexed

About

Paulette Herlin is a scholar working on Molecular Biology, Artificial Intelligence and Cancer Research. According to data from OpenAlex, Paulette Herlin has authored 59 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 19 papers in Artificial Intelligence and 19 papers in Cancer Research. Recurrent topics in Paulette Herlin's work include AI in cancer detection (19 papers), Radiomics and Machine Learning in Medical Imaging (15 papers) and Cancer Genomics and Diagnostics (11 papers). Paulette Herlin is often cited by papers focused on AI in cancer detection (19 papers), Radiomics and Machine Learning in Medical Imaging (15 papers) and Cancer Genomics and Diagnostics (11 papers). Paulette Herlin collaborates with scholars based in France, Lithuania and Luxembourg. Paulette Herlin's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer and Breast Cancer Research.

In The Last Decade

Paulette Herlin

59 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Paulette Herlin France 17 400 282 254 251 241 59 1.1k
Neal Poulin Canada 20 343 0.9× 476 1.7× 146 0.6× 451 1.8× 167 0.7× 30 1.2k
Manohar Pradhan Norway 15 356 0.9× 252 0.9× 291 1.1× 241 1.0× 240 1.0× 50 1.1k
Hanne A. Askautrud Norway 12 563 1.4× 317 1.1× 227 0.9× 136 0.5× 246 1.0× 22 1.3k
Robin Edwards United States 12 492 1.2× 493 1.7× 219 0.9× 220 0.9× 195 0.8× 25 1.1k
Balázs Ács Sweden 17 563 1.4× 230 0.8× 333 1.3× 167 0.7× 436 1.8× 50 1.2k
Robert J. Marinelli United States 17 673 1.7× 477 1.7× 288 1.1× 654 2.6× 369 1.5× 19 2.1k
Panu E. Kovanen Finland 26 691 1.7× 627 2.2× 237 0.9× 121 0.5× 422 1.8× 44 2.3k
Tarjei S. Hveem Norway 12 332 0.8× 161 0.6× 211 0.8× 177 0.7× 265 1.1× 21 841
Andreas Kleppe Norway 11 368 0.9× 189 0.7× 219 0.9× 184 0.7× 356 1.5× 22 1.0k
Richard Colling United Kingdom 18 252 0.6× 124 0.4× 122 0.5× 152 0.6× 318 1.3× 47 769

Countries citing papers authored by Paulette Herlin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Laurinavičius, Arvydas, Benoît Plancoulaine, Allan G. Rasmusson, et al.. (2016). Bimodality of intratumor Ki67 expression is an independent prognostic factor of overall survival in patients with invasive breast carcinoma. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 468(4). 493–502. 33 indexed citations
2.
Plancoulaine, Benoît, Aida Laurinavičienė, Paulette Herlin, et al.. (2015). A methodology for comprehensive breast cancer Ki67 labeling index with intra-tumor heterogeneity appraisal based on hexagonal tiling of digital image analysis data. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 467(6). 711–722. 38 indexed citations
3.
Laurinavičius, Arvydas, Benoît Plancoulaine, Aida Laurinavičienė, et al.. (2014). A methodology to ensure and improve accuracy of Ki67 labelling index estimation by automated digital image analysis in breast cancer tissue. Breast Cancer Research. 16(2). R35–R35. 80 indexed citations
4.
Besusparis, Justinas, Edvardas Žurauskas, Aida Laurinavičienė, et al.. (2014). Quantification of myocardial fibrosis by digital image analysis and interactive stereology. Diagnostic Pathology. 9(1). 114–114. 35 indexed citations
5.
Puppa, Giacomo, Carlo Senore, Kieran Sheahan, et al.. (2012). Diagnostic reproducibility of tumour budding in colorectal cancer: a multicentre, multinational study using virtual microscopy. Histopathology. 61(4). 562–575. 74 indexed citations
6.
Puppa, Giacomo, Mauro Risio, Kieran Sheahan, et al.. (2011). Standardization of whole slide image morphologic assessment with definition of a new application: Digital slide dynamic morphometry. Journal of Pathology Informatics. 2(1). 48–48. 3 indexed citations
7.
Herlin, Paulette. (2011). Ki67 : comment l’évaluer ?. Annales de Pathologie. 31(5). S49–S51. 1 indexed citations
8.
Heutte, Natacha, et al.. (2010). Stromal Compartment as a Survival Prognostic Factor in Advanced Ovarian Carcinoma. International Journal of Gynecological Cancer. 20(1). 28–33. 58 indexed citations
9.
10.
Dorandeu, Anne, Benoît Plancoulaine, Georges Léonetti, & Paulette Herlin. (2008). Apport potentiel des lames virtuelles et de l’analyse d’images automatique dans l’estimation de la vascularisation des sutures crâniennes. Annales de Pathologie. 28(4). 342–346. 2 indexed citations
11.
Elie, Nicolas, et al.. (2003). A simple way of quantifying immunostained cell nuclei on the whole histologic section. Cytometry Part A. 56A(1). 37–45. 44 indexed citations
12.
Elmoataz, Abderrahim, et al.. (2001). Mathematical morphologic segmentation dedicated to quantitative immunohistochemistry.. PubMed. 23(4). 257–67. 8 indexed citations
13.
14.
Denoux, Yves, Paulette Herlin, Marc J. van de Vijver, et al.. (2000). Prognostic value of DNA cytometry in 281 premenopausal patients with lymph node negative breast carcinoma randomized in a control trial. Cancer. 89(8). 1748–1757. 31 indexed citations
15.
Boudry, Christophe, Paulette Herlin, Benoît Plancoulaine, et al.. (1999). Automatic Morphological Sieving: Comparison between Different Methods, Application to DNA Ploidy Measurements. Analytical Cellular Pathology. 18(4). 203–210. 1 indexed citations
16.
Herlin, Paulette, et al.. (1996). Image Galleries for DNA Ploidy Measurement: a Tool forScreening, Learning, Data and Image Processing. Microscopy Microanalysis Microstructures. 7(5-6). 355–360. 1 indexed citations
17.
Masson, Eric, et al.. (1992). Development of an automatic program for the stereological estimation of the volume weighted mean volume of cell nuclei. Pathology - Research and Practice. 188(4-5). 438–442. 5 indexed citations
18.
Mandard, A.M., J. Marnay, J.-C. Mandard, et al.. (1989). Prognostic factors in soft tissue sarcomas. A multivariate analysis of 109 cases. Cancer. 63(7). 1437–1451. 133 indexed citations
19.
Herlin, Paulette, et al.. (1989). Silver Impregnation of Membranes on Undeplasticized Semi-Thin Sections for Morphometry. Pathology - Research and Practice. 185(5). 558–560. 1 indexed citations
20.
Herlin, Paulette, et al.. (1984). [Cancer of the esophagus induced in the Wistar rat by ethyl-N-butyl-nitrosamine].. PubMed. 71(5). 419–24. 3 indexed citations

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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