Fernando Gil

67 papers receiving 1.4k citations

Peers

Fernando Gil
Comparison fields: 5 of 99
  • Endocrinology 198
  • Nephrology 239
  • Transplantation 80
  • Molecular Medicine 120
  • Microbiology 103
Replace Xavier Aldeguer with:
Xavier Aldeguer Spain
Daniel Amsterdam United States
Ming-Cheng Wang Taiwan
Ronit Zaidenstein Israel
M.J. Ledson United Kingdom
L A Bland United States
Paul M. Beringer United States
Hiroki Tsukada Japan
Michael Osthoff Switzerland
Sophie Vimont France
Fernando Gil relative to Xavier Aldeguer Spain Xavier Aldeguer's profile →
Citations per field
00.5×9.4×
Xavier Aldeguer · 1×
Citations per year

Countries citing papers authored by Fernando Gil

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Gil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003126
2 200786
3
Clinical experience with tamoxifen in peritoneal fibrosing syndromes.
200371
4 201969
5 200964
6 200754
7 201346
8 201844
9 201244
10 201641
11 201635
12 201733
13 202132
14 200929
15 202228
16 201026
17 201425
18 201325
19 201521
20 200821

About Fernando Gil

Fernando Gil is a scholar working on Infectious Diseases, Genetics, Food Science, Surgery and Molecular Biology, having authored 68 papers that have together received 1.4k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (18 papers), Salmonella and Campylobacter epidemiology (18 papers), Clostridium difficile and Clostridium perfringens research (17 papers), Vibrio bacteria research studies (12 papers), Bacteriophages and microbial interactions (8 papers), Antibiotic Resistance in Bacteria (7 papers), Microscopic Colitis (6 papers) and Mechanical Circulatory Support Devices (5 papers). The work is most often cited by research in Endocrinology (198 citations), Nephrology (239 citations), Transplantation (80 citations), Molecular Medicine (120 citations) and Microbiology (103 citations). Fernando Gil has collaborated with scholars based in Chile, United Kingdom and United States. Frequent co-authors include Iván L. Calderón, Daniel Paredes‐Sabja, Juan A. Fuentes, Rafael Selgas, Claudia P. Saavedra, Abelardo Aguilera, Bernardo Collao, Eduardo H. Morales, M. Auxiliadora Bajo and Gloria del Peso. Their work appears in journals such as Microbiology, Future Microbiology, Peritoneal Dialysis International, Research in Microbiology and Biochemical and Biophysical Research Communications.

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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