Berta Caballol

824 citations
34 papers · 528 · h-index 11

Impact in

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

Papers in

    • Inflammatory Bowel Disease 18
    • Hepatocellular Carcinoma Treatment and Prognosis 2

Berta Caballol

32 papers receiving 517 citations

Peers

Berta Caballol
Comparison fields: 5 of 58
  • Hepatology 144
  • Epidemiology 198
  • Genetics 135
  • Infectious Diseases 52
  • Pathology and Forensic Medicine 43
Replace Annette Hewitt with:
Annette Hewitt United States
Lars Karlsen Norway
Saket Singhal United Kingdom
Asli Cifcibasi Ormeci Türkiye
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Citations per field
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Annette Hewitt · 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

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021165
2 202445
3 202042
4 202041
5 201738
6 202228
7 202020
8 202417
9 202315
10 202213
11 202212
12 202310
13 202410
14 20219
15 20248
16 20227
17 20247
18 20256
19 20245
20 20224

About Berta Caballol

Berta Caballol is a scholar working on Genetics, Hepatology, Epidemiology, Infectious Diseases and Oncology, having authored 34 papers that have together received 528 indexed citations. Recurring topics across this work include Inflammatory Bowel Disease (18 papers), Microscopic Colitis (3 papers), COVID-19 Clinical Research Studies (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Liver Disease Diagnosis and Treatment (2 papers), COVID-19 and healthcare impacts (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (1 paper) and Immunodeficiency and Autoimmune Disorders (1 paper). The work is most often cited by research in Hepatology (144 citations), Epidemiology (198 citations), Genetics (135 citations), Infectious Diseases (52 citations) and Pathology and Forensic Medicine (43 citations). Berta Caballol has collaborated with scholars based in Spain, Italy and United States. Frequent co-authors include María Reig, Marco Sanduzzi‐Zamparelli, Jordi Bruix, Víctor Sapena, Christian Toso, Nicola Colucci, Ferràn Torres, Lorenzo A. Orci, Julián Panés and Joana Ferrer. Their work appears in journals such as Journal of Crohn s and Colitis, Alimentary Pharmacology & Therapeutics, Digestive and Liver Disease, Clinical Gastroenterology and Hepatology and Therapeutic Advances in Gastroenterology.

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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