Vı́ctor Quesada
Impact in
- Cancer Research top 5%
- Protease and Inhibitor Mechanisms
- Aging top 5%
Papers in
-
- Glycosylation and Glycoproteins Research 6
- Ubiquitin and proteasome pathways 6
- Nuclear Structure and Function 5
- Genetics 12
- Chronic Lymphocytic Leukemia Research 8
- Co-authors
- Carlos López-Otı́n (37 shared papers)José M.P. Freije (7 shared papers)David Rodrı́guez (10 shared papers)Santiago Cal (7 shared papers)Cecilia Garabaya (8 shared papers)Julia M. Fraile (3 shared papers)Xosé S. Puente (7 shared papers)José G Pérez-Silva (6 shared papers)
- Journals
- Journal of Biological Chemistry (5 papers)Scientific Reports (2 papers)Blood (2 papers)Human Molecular Genetics (2 papers)Nucleic Acids Research (2 papers)
- Partner nations
- SpainUnited StatesFrance
In The Last Decade
Vı́ctor Quesada
53 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 140
- Cancer Research 603
- Aging 56
- Genetics 291
- Hematology 293
- Molecular Biology 1.8k
Countries citing papers authored by Vı́ctor Quesada
This map shows the geographic impact of Vı́ctor Quesada'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 Vı́ctor Quesada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vı́ctor Quesada more than expected).
Fields of papers citing papers by Vı́ctor Quesada
This network shows the impact of papers produced by Vı́ctor Quesada. 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 Vı́ctor Quesada. The network helps show where Vı́ctor Quesada may publish in the future.
Co-authors
The 25 scholars most cited alongside Vı́ctor Quesada, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 374 | |
| 2 | 2002 | 209 | |
| 3 | 2001 | 198 | |
| 4 | 2013 | 189 | |
| 5 | 2003 | 187 | |
| 6 | 2011 | 154 | |
| 7 | 2008 | 116 | |
| 8 | 2019 | 115 | |
| 9 | 2009 | 103 | |
| 10 | 2018 | 99 | |
| 11 | 2002 | 85 | |
| 12 | 2019 | 85 | |
| 13 | 2007 | 80 | |
| 14 | 2015 | 70 | |
| 15 | 2013 | 69 | |
| 16 | 2003 | 68 | |
| 17 | 2018 | 63 | |
| 18 | 2015 | 48 | |
| 19 | 2018 | 47 | |
| 20 | 2009 | 45 |
About Vı́ctor Quesada
Vı́ctor Quesada is a scholar working on Molecular Biology, Genetics, Oncology, Cancer Research and Immunology, having authored 58 papers that have together received 2.9k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (8 papers), Protease and Inhibitor Mechanisms (8 papers), Peptidase Inhibition and Analysis (6 papers), Glycosylation and Glycoproteins Research (6 papers), Ubiquitin and proteasome pathways (6 papers), Nuclear Structure and Function (5 papers), Blood Coagulation and Thrombosis Mechanisms (5 papers) and Geophysics and Gravity Measurements (5 papers). The work is most often cited by research in Cancer Research (603 citations), Aging (56 citations), Genetics (291 citations), Hematology (293 citations) and Molecular Biology (1.8k citations). Vı́ctor Quesada has collaborated with scholars based in Spain, United States and France. Frequent co-authors include Carlos López-Otı́n, José M.P. Freije, David Rodrı́guez, Santiago Cal, Cecilia Garabaya, Julia M. Fraile, Xosé S. Puente, José G Pérez-Silva, Maria Llamazares Prada and Ana Gutiérrez‐Fernández. Their work appears in journals such as Journal of Biological Chemistry, Scientific Reports, Blood, Human Molecular Genetics and Nucleic Acids 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.