Jean‐Lambert Pasteels

1.6k citations
70 papers · 1.5k · h-index 23

Impact in

  • Genetics top 5%
    • Glioma Diagnosis and Treatment
    • Estrogen and related hormone effects
  • Biophysics top 5%
    • Cell Image Analysis Techniques

Papers in

    • Cell Image Analysis Techniques 10
    • Glioma Diagnosis and Treatment 10
    • Estrogen and related hormone effects 6

Jean‐Lambert Pasteels

70 papers receiving 1.4k citations

Peers

Jean‐Lambert Pasteels
Comparison fields: 5 of 96
  • Genetics 176
  • Biophysics 107
  • Pulmonary and Respiratory Medicine 241
  • Nutrition and Dietetics 98
  • Artificial Intelligence 186
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Citations per year

Countries citing papers authored by Jean‐Lambert Pasteels

Since Specialization
Citations

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

Fields of papers citing papers by Jean‐Lambert Pasteels

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean‐Lambert Pasteels. 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 Jean‐Lambert Pasteels. The network helps show where Jean‐Lambert Pasteels may publish in the future.

Co-authors

The 25 scholars most cited alongside Jean‐Lambert Pasteels, 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 Jean‐Lambert Pasteels Line = papers co-authored together Jean‐Lambert Pasteels links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001188
2 199160
3 199660
4 199851
5 199243
6 199739
7 199438
8 198936
9 199336
10 199334
11 199030
12 199329
13 199327
14 199827
15
Estradiol-dependent collagenolytic enzyme activity in long-term organ culture of human breast cancer.
197526
16 199226
17 199326
18 199426
19 199926
20 199325

About Jean‐Lambert Pasteels

Jean‐Lambert Pasteels is a scholar working on Biophysics, Genetics, Artificial Intelligence, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 70 papers that have together received 1.5k indexed citations. Recurring topics across this work include AI in cancer detection (17 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Glioma Diagnosis and Treatment (10 papers), Cell Image Analysis Techniques (10 papers), Estrogen and related hormone effects (6 papers), Prostate Cancer Treatment and Research (4 papers), Bladder and Urothelial Cancer Treatments (4 papers) and Gout, Hyperuricemia, Uric Acid (4 papers). The work is most often cited by research in Genetics (176 citations), Biophysics (107 citations), Pulmonary and Respiratory Medicine (241 citations), Nutrition and Dietetics (98 citations) and Artificial Intelligence (186 citations). Jean‐Lambert Pasteels has collaborated with scholars based in Belgium, Brazil and United States. Frequent co-authors include Robert Kiss A, Isabelle J. Salmon, Michel Pétein, Rodrigo Moreno‐Reyes, Dominique Egrise, Jean Nève, André Schoutens, Isabelle Camby, Roland van Velthoven and Christine Decaestecker. Their work appears in journals such as American Journal of Clinical Pathology, Human Pathology, Cancer, The Prostate and The Journal of Pathology.

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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