Jean‐Pierre Bellocq
- Cancer Research top 0.5%
- Protease and Inhibitor Mechanisms 16
- Breast Cancer Treatment Studies 8
- Cancer, Hypoxia, and Metabolism 4
- Immunology and Allergy top 0.5%
- Cell Adhesion Molecules Research 10
- Oncology top 1%
- Peptidase Inhibition and Analysis 14
- HER2/EGFR in Cancer Research 5
- Genetics top 2%
- Estrogen and related hormone effects 7
- Molecular Biology top 5%
- Metabolomics and Mass Spectrometry Studies 4
Jean‐Pierre Bellocq
71 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Cancer Research 1.8k
- Immunology and Allergy 624
- Oncology 1.7k
- Genetics 997
- Molecular Biology 2.2k
Countries citing papers authored by Jean‐Pierre Bellocq
This map shows the geographic impact of Jean‐Pierre Bellocq'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‐Pierre Bellocq with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean‐Pierre Bellocq more than expected).
Fields of papers citing papers by Jean‐Pierre Bellocq
This network shows the impact of papers produced by Jean‐Pierre Bellocq. 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‐Pierre Bellocq. The network helps show where Jean‐Pierre Bellocq may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jean‐Pierre Bellocq, 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 | 2013 | 84 | |
| 2 | 2013 | 22 | |
| 3 | 2012 | 10 | |
| 4 | 2011 | 6 | |
| 5 | 2011 | 6 | |
| 6 | 2010 | 1 | |
| 7 | 2009 | 1 | |
| 8 | 2008 | 2 | |
| 9 | 2007 | 27 | |
| 10 | 2006 | 3 | |
| 11 | 2003 | 48 | |
| 12 | [Activity and cost analysis in surgical pathology. Experience of a French university laboratory using the activity-based costing method]. | 2001 | 2 |
| 13 | 2000 | 13 | |
| 14 | 1999 | 35 | |
| 15 | 1997 | 176 | |
| 16 | 1997 | 65 | |
| 17 | A screening method to identify genes commonly overexpressed in carcinomas and the identification of a novel complementary DNA sequence. | 1995 | 92 |
| 18 | The FMR–1 protein is cytoplasmic, most abundant in neurons and appears normal in carriers of a fragile X premutationbreakdown → | 1993 | 606 |
| 19 | 1991 | 170 | |
| 20 | A novel metalloproteinase gene specifically expressed in stromal cells of breast carcinomasbreakdown → | 1990 | 973 |
About Jean‐Pierre Bellocq
Jean‐Pierre Bellocq is a scholar working on Cancer Research, Immunology and Allergy and Oncology, having authored 71 papers that have together received 4.6k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (16 papers), Peptidase Inhibition and Analysis (14 papers), Cell Adhesion Molecules Research (10 papers), Breast Cancer Treatment Studies (8 papers), Estrogen and related hormone effects (7 papers), HER2/EGFR in Cancer Research (5 papers), Metabolomics and Mass Spectrometry Studies (4 papers) and Cancer, Hypoxia, and Metabolism (4 papers). The work is most often cited by research in Cancer Research (1.8k citations), Immunology and Allergy (624 citations) and Oncology (1.7k citations). Jean‐Pierre Bellocq has collaborated with scholars based in France, Belgium and United States. Frequent co-authors include Paul Basset, Marie‐Pierre Chenard, Yves Lutz, Pierre Chambon, N. Rouyer, Marie‐Christine Rio, M. C. Rio, Isabelle Stoll, Catherine Tomasetto and Didier Devys. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.