Daniel Ayude
Impact in
-
- Peptidase Inhibition and Analysis
-
- Enzyme Production and Characterization
Papers in
- Oncology 9
- Peptidase Inhibition and Analysis 3
- Colorectal Cancer Treatments and Studies 2
-
- Glycosylation and Glycoproteins Research 5
- Co-authors
- Francisco Javier Rodrı́guez-Berrocal (11 shared papers)Marı́a Páez de la Cadena (10 shared papers)Oscar J. Cordero (5 shared papers)Vicenta S. Martínez‐Zorzano (4 shared papers)Alejandro de Carlos (4 shared papers)Ana M. Rodríguez‐Piñeiro (4 shared papers)Miquel Porta (2 shared papers)Juan Alguacil (2 shared papers)
- Journals
- Disease Markers (2 papers)The International Journal of Biological Markers (2 papers)Oncology (2 papers)PLoS ONE (1 paper)Advances in experimental medicine and biology (1 paper)
- Partner nations
- SpainUnited States
In The Last Decade
Daniel Ayude
17 papers receiving 411 citations
Peers
Comparison fields: 5 of 64
- Oncology 169
- Biotechnology 33
- Cancer Research 47
- Molecular Biology 168
- Pathology and Forensic Medicine 40
Countries citing papers authored by Daniel Ayude
This map shows the geographic impact of Daniel Ayude'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 Daniel Ayude with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Ayude more than expected).
Fields of papers citing papers by Daniel Ayude
This network shows the impact of papers produced by Daniel Ayude. 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 Daniel Ayude. The network helps show where Daniel Ayude may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Ayude, 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 | 2000 | 73 | |
| 2 | 2003 | 48 | |
| 3 | 2000 | 48 | |
| 4 | 2004 | 28 | |
| 5 | Alpha-L-fucosidase enzyme in the prediction of colorectal cancer patients at high risk of tumor recurrence. | 2000 | 27 |
| 6 | 2003 | 22 | |
| 7 | 2004 | 22 | |
| 8 | 2004 | 21 | |
| 9 | 2014 | 19 | |
| 10 | 2004 | 18 | |
| 11 | 2002 | 17 | |
| 12 | 2009 | 16 | |
| 13 | 2003 | 16 | |
| 14 | 2009 | 12 | |
| 15 | 2009 | 12 | |
| 16 | 2013 | 12 | |
| 17 | 2008 | 9 |
About Daniel Ayude
Daniel Ayude is a scholar working on Oncology, Molecular Biology, Pathology and Forensic Medicine, Cancer Research and Surgery, having authored 17 papers that have together received 420 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (5 papers), Peptidase Inhibition and Analysis (3 papers), Colorectal Cancer Treatments and Studies (2 papers), Cancer Research and Treatments (2 papers), Genetic factors in colorectal cancer (2 papers), Bladder and Urothelial Cancer Treatments (1 paper), Acute Lymphoblastic Leukemia research (1 paper) and Coffee research and impacts (1 paper). The work is most often cited by research in Oncology (169 citations), Biotechnology (33 citations), Cancer Research (47 citations), Molecular Biology (168 citations) and Pathology and Forensic Medicine (40 citations). Daniel Ayude has collaborated with scholars based in Spain and United States. Frequent co-authors include Francisco Javier Rodrı́guez-Berrocal, Marı́a Páez de la Cadena, Oscar J. Cordero, Vicenta S. Martínez‐Zorzano, Alejandro de Carlos, Ana M. Rodríguez‐Piñeiro, Miquel Porta, Juan Alguacil, Julia Fernández-Rodrı́guez and Manel Jariod. Their work appears in journals such as Disease Markers, The International Journal of Biological Markers, Oncology, PLoS ONE and Advances in experimental medicine and biology.
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.