Javier de

2.2k citations
38 papers · 1.7k indexed · h-index 19

Impact in

  • Oncology top 5%
    • Colorectal Cancer Surgical Treatments
    • Colorectal Cancer Screening and Detection
    • Colorectal Cancer Treatments and Studies
    • Cancer-related molecular mechanisms research

Papers in

Javier de

36 papers receiving 1.6k citations

Peers

Javier de
Comparison fields: 5 of 107
  • Oncology 650
  • Cancer Research 347
  • Pathology and Forensic Medicine 341
  • Emergency Medicine 120
  • Surgery 493
Replace Kazuyasu Nakao with:
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Hirotaka Tashiro Japan
Teresa Starzyñska Poland
Shinji Togo Japan
Steven W. Warmann Germany
Koo Jeong Kang South Korea
Anne Durnez Belgium
Akira Togawa Japan
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Javier de relative to Kazuyasu Nakao Japan Kazuyasu Nakao's profile →
Citations per field
00.5×3.1×
Kazuyasu Nakao · 1×
Citations per year

Countries citing papers authored by Javier de

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

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

All Works

20 of 20 papers shown
#Work
1 20211
2 2017102
3 2013102
4 201236
5 201242
6 201057
7 20081
8 200748
9 200724
10 2005123
11 20058
12 200418
13 20048
14 20041
15 20047
16 200337
17 200251
18
Política monetaria en Castilla durante el siglo XVII
20007
19 2000112
20 199815

About Javier de

Javier de is a scholar working on Pathology and Forensic Medicine, Conservation, Developmental Neuroscience, Oncology and Linguistics and Language, having authored 38 papers that have together received 1.7k indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (10 papers), Colorectal Cancer Screening and Detection (7 papers), Organ Transplantation Techniques and Outcomes (7 papers), Clinical Nutrition and Gastroenterology (6 papers), Diverticular Disease and Complications (5 papers), Colorectal Cancer Treatments and Studies (4 papers), Cancer Genomics and Diagnostics (3 papers) and Cardiac Ischemia and Reperfusion (3 papers). The work is most often cited by research in Oncology (650 citations), Cancer Research (347 citations), Pathology and Forensic Medicine (341 citations), Emergency Medicine (120 citations) and Surgery (493 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, Federico Canzian, Stefano Landi, Lydie Gioia‐Patricola and Francisco Rodríguez‐Moranta. Their work appears in journals such as Inflammatory Bowel Diseases, Transplantation, Surgery, Cancer Prevention Research and British Journal of 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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