Javier de
Impact in
- Oncology top 5%
- Colorectal Cancer Surgical Treatments
- Colorectal Cancer Treatments and Studies
- Colorectal Cancer Screening and Detection
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- Genetic factors in colorectal cancer
Papers in
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- Genetic factors in colorectal cancer 10
- Oncology 11
- Colorectal Cancer Surgical Treatments 4
- Colorectal Cancer Screening and Detection 3
- Colorectal Cancer Treatments and Studies 3
- Co-authors
- Vı́ctor Moreno (13 shared papers)Gabriel Capellá (11 shared papers)Elisabet Guinó (8 shared papers)Eduardo Jaurrieta (13 shared papers)Sebastiano Biondo (11 shared papers)Matilde Navarro (5 shared papers)Lydie Gioia‐Patricola (3 shared papers)Stefano Landi (3 shared papers)
In The Last Decade
Javier de
34 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 95
- Oncology 529
- Pathology and Forensic Medicine 322
- Pharmacology 122
- Cancer Research 123
- Genetics 261
Countries citing papers authored by Javier de
This map shows the geographic impact of Javier de'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 Javier de with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier de more than expected).
Fields of papers citing papers by Javier de
This network shows the impact of papers produced by Javier de. 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 Javier de. The network helps show where Javier de may publish in the future.
Co-authors
The 25 scholars most cited alongside Javier de, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Association of common polymorphisms in inflammatory genes interleukin (IL)6, IL8, tumor necrosis factor alpha, NFKB1, and peroxisome proliferator-activated receptor gamma with colorectal cancer. | 2003 | 286 |
| 2 | 2004 | 169 | |
| 3 | 2014 | 132 | |
| 4 | 2005 | 128 | |
| 5 | 2000 | 121 | |
| 6 | 2013 | 109 | |
| 7 | 2017 | 105 | |
| 8 | 2006 | 103 | |
| 9 | 2014 | 103 | |
| 10 | 2001 | 67 | |
| 11 | 2010 | 58 | |
| 12 | 2002 | 51 | |
| 13 | 2007 | 51 | |
| 14 | 2012 | 47 | |
| 15 | 2003 | 42 | |
| 16 | 2012 | 35 | |
| 17 | 2007 | 26 | |
| 18 | 2018 | 20 | |
| 19 | 2004 | 19 | |
| 20 | 1997 | 16 |
About Javier de
Javier de is a scholar working on Pathology and Forensic Medicine, Oncology, Surgery, Genetics and Nutrition and Dietetics, having authored 39 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (10 papers), Organ Transplantation Techniques and Outcomes (7 papers), Colorectal Cancer Surgical Treatments (4 papers), Epigenetics and DNA Methylation (4 papers), Inflammatory Bowel Disease (4 papers), Diverticular Disease and Complications (3 papers), Colorectal Cancer Screening and Detection (3 papers) and Colorectal Cancer Treatments and Studies (3 papers). The work is most often cited by research in Oncology (529 citations), Pathology and Forensic Medicine (322 citations), Pharmacology (122 citations), Cancer Research (123 citations) and Genetics (261 citations). Javier de has collaborated with scholars based in Spain, France and Italy. Frequent co-authors include Vı́ctor Moreno, Gabriel Capellá, Elisabet Guinó, Eduardo Jaurrieta, Sebastiano Biondo, Matilde Navarro, Lydie Gioia‐Patricola, Stefano Landi, Federico Canzian and Francisco Rodríguez‐Moranta. Their work appears in journals such as Inflammatory Bowel Diseases, Surgery, Transplantation, Clinical Colorectal Cancer and Journal of Hepatology.
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.