Marília Cravo

4.4k citations
118 papers · 3.2k indexed · h-index 31

Marília Cravo

116 papers receiving 3.1k citations

Peers

Marília Cravo
Comparison fields: 5 of 114
  • Rheumatology 812
  • Pathology and Forensic Medicine 659
  • Oncology 738
  • Genetics 625
  • Cancer Research 315
Replace Shih-Jen Hwang with:
Shih-Jen Hwang United States
Rabih M. Salloum United States
Bethany Van Guelpen Sweden
Pauline M. Camacho United States
Ruth F. McKee United Kingdom
Maureen McMahon United States
Justine Bacchetta France
M J Stampfer United States
Jordi Bover Spain
Pedro Aljama Spain
Marília Cravo relative to Shih-Jen Hwang United States Shih-Jen Hwang's profile →
Citations per field
00.5×1.5×2.3×
Shih-Jen Hwang · 1×
Citations per year

Countries citing papers authored by Marília Cravo

Since Specialization
Citations

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

Fields of papers citing papers by Marília Cravo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20222
2 20226
3 20221
4 20209
5 20206
6 201821
7 201617
8 20166
9 201511
10
Diarreia associada a Clostridium Difficile (DACD) num Hospital Central - Uma reflexão urgente!
20100
11
CARCINOMA DO CÓLON OU RECTO EM JOVENS: CARACTERIZAÇÃO CLÍNICO-PATOLÓGICA E VIAS DE CARCINOGÉNESE
20071
12 200786
13 20055
14 200512
15 200229
16 199897
17 199693
18 199594
19 199533
20 199116

About Marília Cravo

Marília Cravo is a scholar working on Pathology and Forensic Medicine, Genetics and Oncology, having authored 118 papers that have together received 3.2k indexed citations. Recurring topics across this work include Inflammatory Bowel Disease (30 papers), Genetic factors in colorectal cancer (25 papers), Microscopic Colitis (23 papers), Colorectal Cancer Screening and Detection (20 papers), Cancer Genomics and Diagnostics (12 papers), Pancreatic and Hepatic Oncology Research (11 papers), Pancreatitis Pathology and Treatment (9 papers) and Gastric Cancer Management and Outcomes (9 papers). The work is most often cited by research in Rheumatology (812 citations), Pathology and Forensic Medicine (659 citations) and Oncology (738 citations). Marília Cravo has collaborated with scholars based in Portugal, United States and Canada. Frequent co-authors include Paula Chaves, L Glória, Jacob Selhub, F C Mira, M. Camilo, C. Nobre Leitão, Pedro Lage, Paulo Fidalgo, Catarina Sousa Guerreiro and Isabel Claro. Their work appears in journals such as SHILAP Revista de lepidopterología, Gastroenterology and American Journal of Clinical Nutrition.

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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