Adán Pinto-Fernández

1.8k citations
35 papers · 1.1k · h-index 15

Impact in

    • Ubiquitin and proteasome pathways
    • Protein Degradation and Inhibitors
    • Histone Deacetylase Inhibitors Research
  • Oncology top 10%
    • Peptidase Inhibition and Analysis
    • Cancer-related Molecular Pathways

Papers in

    • Ubiquitin and proteasome pathways 25
    • Protein Degradation and Inhibitors 4
    • Histone Deacetylase Inhibitors Research 4
    • Mitochondrial Function and Pathology 3
    • Muscle Physiology and Disorders 3
    • Peptidase Inhibition and Analysis 7

Adán Pinto-Fernández

31 papers receiving 1.1k citations

Peers

Adán Pinto-Fernández
Comparison fields: 5 of 84
  • Molecular Biology 874
  • Oncology 313
  • Immunology 176
  • Epidemiology 210
  • Cancer Research 90
Replace Giovanni Fagà with:
Giovanni Fagà Italy
Chunguang Guo United States
Richard Lilischkis Germany
Annette Aichem Germany
Justin M. Reitsma United States
Nicola Manfrini Italy
Tobias Kratina Australia
Cecilia A. Larocca United States
Fengshan Liang United States
Adán Pinto-Fernández relative to Giovanni Fagà Italy Giovanni Fagà's profile →
Citations per field
00.5×2×4×5.6×
Giovanni Fagà · 1×
Citations per year

Countries citing papers authored by Adán Pinto-Fernández

Since Specialization
Citations

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

Fields of papers citing papers by Adán Pinto-Fernández

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adán Pinto-Fernández. 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 Adán Pinto-Fernández. The network helps show where Adán Pinto-Fernández may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017372
2 2021106
3 2020100
4 201657
5 201945
6 202044
7 201942
8 202035
9 201732
10 202032
11 202030
12 201829
13 202328
14 202027
15 202324
16 202315
17 202114
18 202314
19 201913
20 202412

About Adán Pinto-Fernández

Adán Pinto-Fernández is a scholar working on Molecular Biology, Oncology, Immunology, Cell Biology and Cancer Research, having authored 35 papers that have together received 1.1k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (25 papers), Peptidase Inhibition and Analysis (7 papers), interferon and immune responses (7 papers), Protein Degradation and Inhibitors (4 papers), Histone Deacetylase Inhibitors Research (4 papers), Autophagy in Disease and Therapy (4 papers), Mitochondrial Function and Pathology (3 papers) and Muscle Physiology and Disorders (3 papers). The work is most often cited by research in Molecular Biology (874 citations), Oncology (313 citations), Immunology (176 citations), Epidemiology (210 citations) and Cancer Research (90 citations). Adán Pinto-Fernández has collaborated with scholars based in United Kingdom, Netherlands and United States. Frequent co-authors include Benedikt M. Kessler, Andreas Damianou, Sarah Bonham, Paul Elliott, Román Fischer, Daniel Krappmann, Hidde L. Ploegh, Farid El Oualid, David Komander and Philip D. Charles. Their work appears in journals such as Nature Communications, Life Science Alliance, Nature Immunology, Molecular & Cellular Proteomics and Frontiers in Chemistry.

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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