Berta Caballol

702 citations
18 papers · 234 · h-index 6

Impact in

  • Hepatology top 5%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Liver Disease and Transplantation
    • Hepatitis C virus research
    • Hepatitis Viruses Studies and Epidemiology
    • Liver Disease Diagnosis and Treatment
    • Hepatitis B Virus Studies

Papers in

    • Microscopic Colitis 7
    • Liver Disease Diagnosis and Treatment 3
    • Inflammatory Bowel Disease 11

Berta Caballol

16 papers receiving 230 citations

Peers

Berta Caballol
Comparison fields: 5 of 46
  • Hepatology 140
  • Epidemiology 176
  • Cancer Research 22
  • Endocrinology, Diabetes and Metabolism 24
  • Cell Biology 16
Replace M. Marcolongo with:
M. Marcolongo Italy
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Marcela Galoppo Argentina
Hiroshi Isoda Japan
Hesham M. Elgouhari United States
Khaled Zalata Egypt
Cristina Galoppo Argentina
Fernanda Branco Brazil
G. Raimondo Italy
Serag Esmat Egypt
Berta Caballol relative to M. Marcolongo Italy M. Marcolongo's profile →
Citations per field
00.5×10.6×
M. Marcolongo · 1×
Citations per year

Countries citing papers authored by Berta Caballol

Since Specialization
Citations

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

Fields of papers citing papers by Berta Caballol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2021135
2 201735
3 202423
4 20217
5 20227
6 20235
7 20244
8 20223
9 20223
10 20242
11 20242
12 20242
13 20192
14 20212
15 20251
16 20221
17 20230
18 20250

About Berta Caballol

Berta Caballol is a scholar working on Epidemiology, Genetics, Surgery, Hepatology and Infectious Diseases, having authored 18 papers that have together received 234 indexed citations. Recurring topics across this work include Inflammatory Bowel Disease (11 papers), Microscopic Colitis (7 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Anorectal Disease Treatments and Outcomes (3 papers), Diverticular Disease and Complications (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Biosimilars and Bioanalytical Methods (2 papers) and Helicobacter pylori-related gastroenterology studies (2 papers). The work is most often cited by research in Hepatology (140 citations), Epidemiology (176 citations), Cancer Research (22 citations), Endocrinology, Diabetes and Metabolism (24 citations) and Cell Biology (16 citations). Berta Caballol has collaborated with scholars based in Spain, Switzerland and Italy. Frequent co-authors include Marco Sanduzzi‐Zamparelli, María Reig, Lorenzo A. Orci, Víctor Sapena, Jordi Bruix, Nicola Colucci, Christian Toso, Ferràn Torres, Sergio Rodríguez‐Tajes and Zoe Mariñó. Their work appears in journals such as Journal of Crohn s and Colitis, Liver International, JHEP Reports, Journal of Hepatology and Alimentary Pharmacology & Therapeutics.

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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