Albert Font

3.7k citations
75 papers · 1.8k · h-index 22

Impact in

Papers in

Albert Font

73 papers receiving 1.8k citations

Peers

Albert Font
Comparison fields: 5 of 79
  • Pulmonary and Respiratory Medicine 772
  • Cancer Research 313
  • Oncology 553
  • Internal Medicine 45
  • Pathology and Forensic Medicine 164
Replace Giuseppe Lo Russo with:
Giuseppe Lo Russo Italy
Enrique Gallardo Spain
Michele Aieta Italy
Mara Ghilardi Italy
Melissa Bersanelli Italy
Pascale Tomasini France
Francesco Schettini Italy
Rohan Garje United States
Lisa M. Landrum United States
L. Tye United States
Albert Font relative to Giuseppe Lo Russo Italy Giuseppe Lo Russo's profile →
Citations per field
00.5×1.7×
Giuseppe Lo Russo · 1×
Citations per year

Countries citing papers authored by Albert Font

Since Specialization
Citations

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

Fields of papers citing papers by Albert Font

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018231
2 2017172
3 2014128
4 1998117
5 2010112
6 200155
7 201354
8 200352
9 201451
10 202050
11 202147
12 200940
13 201640
14 202035
15 202235
16 202034
17 200433
18 202233
19 199629
20 199528

About Albert Font

Albert Font is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Surgery, Molecular Biology and Cancer Research, having authored 75 papers that have together received 1.8k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (31 papers), Bladder and Urothelial Cancer Treatments (12 papers), Lung Cancer Treatments and Mutations (10 papers), Cancer, Lipids, and Metabolism (9 papers), Cancer Treatment and Pharmacology (8 papers), Radiopharmaceutical Chemistry and Applications (8 papers), Cancer Immunotherapy and Biomarkers (7 papers) and Urinary and Genital Oncology Studies (7 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (772 citations), Cancer Research (313 citations), Oncology (553 citations), Internal Medicine (45 citations) and Pathology and Forensic Medicine (164 citations). Albert Font has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Vicenç Ruiz de Porras, Rafael Rosell, Johann S. de Bono, Albert Abad, Mariano Monzó, Àlex Pifarré, Rafael Rosell, Joan Carles, Isabel Ojanguren and Daniel Maslyar. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology, Lung Cancer, European Journal of Cancer and Clinical Cancer 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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