Patrick Neven

38.6k citations
493 papers · 15.7k indexed · 7 hit papers · h-index 57

Patrick Neven

468 papers receiving 15.4k citations

Hit Papers

A single-cell map o...44220052026201220192505007501000

Peers

Patrick Neven
Comparison fields: 5 of 157
  • Oncology 8.6k
  • Cancer Research 4.5k
  • Obstetrics and Gynecology 2.1k
  • Reproductive Medicine 1.9k
  • Pulmonary and Respiratory Medicine 5.0k
Replace Victor G. Vogel with:
Victor G. Vogel United States
Kathleen I. Pritchard Canada
James N. Atkins United States
Eitan Amir Canada
André Robidoux Canada
James N. Ingle United States
Steinar Tretli Norway
John Forbes United Kingdom
Beat Thürlimann Switzerland
Edith A. Perez United States
Patrick Neven relative to Victor G. Vogel United States Victor G. Vogel's profile →
Citations per field
00.5×5.6×
Victor G. Vogel · 1×
Citations per year

Countries citing papers authored by Patrick Neven

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Neven

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
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12 202021
13 202044
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16 201740
17 201678
18
Chromosomal instability in cell-free DNA as a highly specific biomarker for ovarian cancer detection
20162
19 201516
20 200958

About Patrick Neven

Patrick Neven is a scholar working on Oncology, Cancer Research and Obstetrics and Gynecology, having authored 493 papers that have together received 15.7k indexed citations. Recurring topics across this work include Advanced Breast Cancer Therapies (144 papers), Estrogen and related hormone effects (121 papers), Breast Cancer Treatment Studies (121 papers), HER2/EGFR in Cancer Research (93 papers), Cancer Treatment and Pharmacology (71 papers), Cancer Risks and Factors (40 papers), Endometrial and Cervical Cancer Treatments (40 papers) and Ovarian cancer diagnosis and treatment (38 papers). The work is most often cited by research in Oncology (8.6k citations), Cancer Research (4.5k citations) and Obstetrics and Gynecology (2.1k citations). Patrick Neven has collaborated with scholars based in Belgium, United States and France. Frequent co-authors include Ignace Vergote, Frédéric Amant, Philippe Moerman, Erik Van Limbergen, D. Timmerman, Hans Wildiers, Robert Paridaens, Marie-Rose Christiaens, Karin Leunen and Ann Smeets. Their work appears in journals such as Cancer Research, Journal of Clinical Oncology, Annals of Oncology, Breast Cancer Research and Treatment and International Journal of Gynecological Cancer.

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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