Gonzalo López
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism 4
- Molecular Biology top 5%
- Protein Structure and Dynamics 8
- Bioinformatics and Genomic Networks 5
- RNA and protein synthesis mechanisms 4
- Machine Learning in Bioinformatics 3
- Neurology top 5%
- Neuroblastoma Research and Treatments 10
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- Computational Drug Discovery Methods 5
- Oncology top 10%
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- Enzyme Structure and Function 7
- Co-authors
- Michael L. TressAlfonso ValenciaAndrea CalifanoFederico M. GiorgiIakes EzkurdiaAlexander LachmannPaolo MaiettaJosé Manuel Rodrı́guez
- Journals
- Proteins Structure Function and Bioinformatics (5 papers)Nucleic Acids Research (5 papers)Cancer Research (4 papers)
- Partner nations
- United StatesSpainItaly
In The Last Decade
Gonzalo López
32 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Cancer Research 346
- Molecular Biology 1.4k
- Neurology 245
- Computational Theory and Mathematics 217
- Oncology 370
Countries citing papers authored by Gonzalo López
This map shows the geographic impact of Gonzalo López'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 Gonzalo López with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gonzalo López more than expected).
Fields of papers citing papers by Gonzalo López
This network shows the impact of papers produced by Gonzalo López. 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 Gonzalo López. The network helps show where Gonzalo López may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gonzalo López, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 4 | |
| 2 | 2023 | 8 | |
| 3 | CAR-T cell-mediated depletion of immunosuppressive tumor-associated macrophages promotes endogenous antitumor immunity and augments adoptive immunotherapybreakdown → | 2021 | 243 |
| 4 | 2020 | 49 | |
| 5 | 2020 | 14 | |
| 6 | 2020 | 56 | |
| 7 | 2019 | 21 | |
| 8 | 2019 | 24 | |
| 9 | 2018 | 21 | |
| 10 | 2017 | 96 | |
| 11 | 2014 | 16 | |
| 12 | 2013 | 17 | |
| 13 | 2011 | 74 | |
| 14 | 2010 | 6 | |
| 15 | 2009 | 32 | |
| 16 | 2007 | 37 | |
| 17 | 2006 | 47 | |
| 18 | 2005 | 93 | |
| 19 | 2005 | 35 | |
| 20 | 2005 | 28 |
About Gonzalo López
Gonzalo López is a scholar working on Neurology, Cancer Research and Molecular Biology, having authored 33 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (10 papers), Protein Structure and Dynamics (8 papers), Enzyme Structure and Function (7 papers), Computational Drug Discovery Methods (5 papers), Bioinformatics and Genomic Networks (5 papers), Cancer, Hypoxia, and Metabolism (4 papers), RNA and protein synthesis mechanisms (4 papers) and Machine Learning in Bioinformatics (3 papers). The work is most often cited by research in Cancer Research (346 citations), Molecular Biology (1.4k citations) and Neurology (245 citations). Gonzalo López has collaborated with scholars based in United States, Spain and Italy. Frequent co-authors include Michael L. Tress, Alfonso Valencia, Andrea Califano, Federico M. Giorgi, Iakes Ezkurdia, Alexander Lachmann, Paolo Maietta, José Manuel Rodrı́guez, Mukesh Bansal and Jung Hoon Woo. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Nucleic Acids Research, Cancer Research, Bioinformatics and Blood.
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.