Marick Laé

122 papers receiving 5.6k citations

Hit Papers

Segmentation of Nuclei in Histopathology Images by Deep Regression of the Distance Map 2018 · 397 citations
3972018202620202023100200300

Peers

Marick Laé
Comparison fields: 5 of 134
  • Cancer Research 1.3k
  • Oncology 2.0k
  • Pathology and Forensic Medicine 1.2k
  • Pulmonary and Respiratory Medicine 2.1k
  • Dermatology 468
Replace Michael T. Deavers with:
Michael T. Deavers United States
Christopher Poremba Germany
Kelli Montgomery United States
Shigeki Sekine Japan
Gunhild Mechtersheimer Germany
Barbara Dockhorn‐Dworniczak Germany
Rajmohan Murali United States
Gustavo Baretton Germany
Eva Wardelmann Germany
Wojciech Biernat Poland
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Citations per field
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Michael T. Deavers · 1×
Citations per year

Countries citing papers authored by Marick Laé

Since Specialization
Citations

This map shows the geographic impact of Marick Laé'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 Marick Laé with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marick Laé more than expected).

Fields of papers citing papers by Marick Laé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marick Laé. 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 Marick Laé. The network helps show where Marick Laé may publish in the future.

Co-authors

The 25 scholars most cited alongside Marick Laé, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Marick Laé Line = papers co-authored together Marick Laé links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 124 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Segmentation of Nuclei in Histopathology Images by Deep Regression of the Distance Map
Hit paper breakdown →
2018397
2 2004367
3 2010326
4 2017266
5 2009263
6 2002248
7 2007237
8 2007217
9 2005210
10 2006184
11 2009171
12 2011156
13 2008140
14 2016118
15 2005117
16 200496
17 200795
18 201570
19 201768
20 201766

About Marick Laé

Marick Laé is a scholar working on Pathology and Forensic Medicine, Cancer Research, Oncology, Pulmonary and Respiratory Medicine and Oral Surgery, having authored 124 papers that have together received 5.7k indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (32 papers), Breast Cancer Treatment Studies (25 papers), Breast Lesions and Carcinomas (21 papers), Salivary Gland Tumors Diagnosis and Treatment (16 papers), Vascular Tumors and Angiosarcomas (12 papers), HER2/EGFR in Cancer Research (11 papers), Cancer and Skin Lesions (10 papers) and Oral and Maxillofacial Pathology (9 papers). The work is most often cited by research in Cancer Research (1.3k citations), Oncology (2.0k citations), Pathology and Forensic Medicine (1.2k citations), Pulmonary and Respiratory Medicine (2.1k citations) and Dermatology (468 citations). Marick Laé has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Fabien Reyal, Peter Naylor, Thomas Walter, Marc Ladanyi, Ricardo V. Lloyd, Anne Vincent‐Salomon, Antonio G. Nascimento, Sylvie Robine, Daniel Louvard and Pedram Argani. Their work appears in journals such as The American Journal of Surgical Pathology, Cancers, Modern Pathology, Journal of Clinical Oncology and PLoS ONE.

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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