F. Cambra

513 citations
32 papers · 357 · h-index 12

Impact in

    • Renal Transplantation Outcomes and Treatments
  • Hepatology top 10%
    • Liver Disease and Transplantation
    • Hepatitis C virus research

Papers in

    • Organ Transplantation Techniques and Outcomes 8
    • Renal Transplantation Outcomes and Treatments 5
    • Organ and Tissue Transplantation Research 3

F. Cambra

31 papers receiving 350 citations

Peers

F. Cambra
Comparison fields: 5 of 34
  • Transplantation 98
  • Hepatology 82
  • Surgery 131
  • Epidemiology 98
  • Emergency Medicine 15
Replace J Ziółkowski with:
J Ziółkowski Poland
Maurizio Iaria Italy
P. Ruíz Spain
Nikhil Kapila United States
A. Ventoso Spain
Roland Raakow Germany
Susan Rohal United States
Alejandra Otero Spain
D Manas United Kingdom
Vandad Raofi United States
F. Cambra relative to J Ziółkowski Poland J Ziółkowski's profile →
Citations per field
00.5×10×15×17.7×
J Ziółkowski · 1×
Citations per year

Countries citing papers authored by F. Cambra

Since Specialization
Citations

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

Fields of papers citing papers by F. Cambra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200950
2 201541
3 201321
4 201620
5 202019
6 201819
7
Switching to sirolimus monotherapy for de novo tumors after liver transplantation. A preliminary experience.
201118
8 201318
9 200917
10 201217
11 201716
12 200911
13 201910
14 200810
15 20189
16 20148
17 20188
18 20187
19 20087
20 20166

About F. Cambra

F. Cambra is a scholar working on Surgery, Transplantation, Epidemiology, Infectious Diseases and Hepatology, having authored 32 papers that have together received 357 indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (8 papers), Renal Transplantation Outcomes and Treatments (5 papers), Liver Disease and Transplantation (4 papers), Organ and Tissue Transplantation Research (3 papers), Hepatitis B Virus Studies (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Amoebic Infections and Treatments (2 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Transplantation (98 citations), Hepatology (82 citations), Surgery (131 citations), Epidemiology (98 citations) and Emergency Medicine (15 citations). F. Cambra has collaborated with scholars based in Spain. Frequent co-authors include Alejandro Manrique, Jorge Calvo, Iago Justo, E. Moreno, Carmelo Loinaz, Álvaro García‐Sesma, C. Jiménez, Alberto Marcacuzco, M. Abradelo and J.M. Morales. Their work appears in journals such as Transplantation, Clinical Transplantation, Transplantation Proceedings, Abdominal Radiology and Viruses.

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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