Alba Cachero

1.3k citations
33 papers · 981 · h-index 13

Impact in

  • Hepatology top 2%
    • Liver Disease and Transplantation
    • Hepatitis C virus research
    • Hepatocellular Carcinoma Treatment and Prognosis
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research

Papers in

    • Liver Disease and Transplantation 9
    • Hepatitis C virus research 3
    • Organ Transplantation Techniques and Outcomes 11

Alba Cachero

30 papers receiving 950 citations

Peers

Alba Cachero
Comparison fields: 5 of 50
  • Hepatology 498
  • Infectious Diseases 303
  • Surgery 156
  • Gastroenterology 23
  • Epidemiology 54
Replace Feng Su with:
Feng Su United States
Harsh Vardhan Tevethia India
Géraldine Dahlqvist Belgium
Giulia Bonato Italy
Malte H. Wehmeyer Germany
Jilin Cheng China
Gloria Sánchez‐Antolín Spain
Antonella Putignano Belgium
Ye Gu China
Michel Chousterman France
Alba Cachero relative to Feng Su United States Feng Su's profile →
Citations per field
00.5×2×4×5.8×
Feng Su · 1×
Citations per year

Countries citing papers authored by Alba Cachero

Since Specialization
Citations

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

Fields of papers citing papers by Alba Cachero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020260
2 2016252
3 201979
4 201762
5 201754
6 201948
7 202146
8 201936
9 202131
10 202114
11 202114
12 202214
13 202313
14 202110
15 20248
16 20197
17 20217
18 20234
19 20244
20 20163

About Alba Cachero

Alba Cachero is a scholar working on Hepatology, Surgery, Infectious Diseases, Nutrition and Dietetics and Epidemiology, having authored 33 papers that have together received 981 indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (11 papers), Liver Disease and Transplantation (9 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Hepatitis C virus research (3 papers), Trace Elements in Health (2 papers), COVID-19 Clinical Research Studies (1 paper), Innovations in Medical Education (1 paper) and Hepatitis B Virus Studies (1 paper). The work is most often cited by research in Hepatology (498 citations), Infectious Diseases (303 citations), Surgery (156 citations), Gastroenterology (23 citations) and Epidemiology (54 citations). Alba Cachero has collaborated with scholars based in Spain, France and Italy. Frequent co-authors include José Castellote, Salvador Augustín, Juan G. Abraldeṣ, Lucio Amitrano, Puneeta Tandon, Maria Anna Guardascione, Irene Conejo, Xavier Xiol, Joan Genescà and Joan B. Gornals. Their work appears in journals such as Journal of Hepatology, American Journal of Transplantation, Digestive and Liver Disease, Liver Transplantation and Antiviral Research.

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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