Claire Coderch
Impact in
- Cell Biology top 10%
- Microtubule and mitosis dynamics
-
- Cancer Treatment and Pharmacology
- Peptidase Inhibition and Analysis
Papers in
-
- Protein Degradation and Inhibitors 3
- Histone Deacetylase Inhibitors Research 3
- Cancer therapeutics and mechanisms 3
- Oncology 16
- Peptidase Inhibition and Analysis 9
- Cancer Treatment and Pharmacology 7
- Co-authors
- Federico Gago (11 shared papers)Beatriz de Pascual‐Teresa (16 shared papers)Ana Ramos (13 shared papers)José María Zapico (11 shared papers)Antonio Morreale (3 shared papers)J. Fernando Dı́az (5 shared papers)Jesús Jiménez‐Barbero (4 shared papers)José M. Andreu (3 shared papers)
- Journals
- ChemMedChem (3 papers)Molecules (3 papers)RSC Advances (3 papers)Organic & Biomolecular Chemistry (3 papers)ACS Chemical Biology (2 papers)
- Partner nations
- SpainPolandUnited Kingdom
In The Last Decade
Claire Coderch
28 papers receiving 536 citations
Peers
Comparison fields: 5 of 81
- Cell Biology 125
- Oncology 177
- Cancer Research 70
- Molecular Biology 318
- Organic Chemistry 115
Countries citing papers authored by Claire Coderch
This map shows the geographic impact of Claire Coderch'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 Claire Coderch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claire Coderch more than expected).
Fields of papers citing papers by Claire Coderch
This network shows the impact of papers produced by Claire Coderch. 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 Claire Coderch. The network helps show where Claire Coderch may publish in the future.
Co-authors
The 25 scholars most cited alongside Claire Coderch, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 64 | |
| 2 | 2019 | 45 | |
| 3 | 2011 | 43 | |
| 4 | 2011 | 43 | |
| 5 | 2012 | 37 | |
| 6 | 2020 | 26 | |
| 7 | 2017 | 25 | |
| 8 | 2016 | 23 | |
| 9 | 2015 | 22 | |
| 10 | 2014 | 21 | |
| 11 | 2013 | 20 | |
| 12 | 2014 | 16 | |
| 13 | 2018 | 15 | |
| 14 | 2017 | 14 | |
| 15 | 2020 | 14 | |
| 16 | 2013 | 13 | |
| 17 | 2014 | 12 | |
| 18 | 2023 | 11 | |
| 19 | 2014 | 11 | |
| 20 | 2012 | 10 |
About Claire Coderch
Claire Coderch is a scholar working on Molecular Biology, Oncology, Cell Biology, Organic Chemistry and Cancer Research, having authored 28 papers that have together received 537 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (9 papers), Cancer Treatment and Pharmacology (7 papers), Microtubule and mitosis dynamics (6 papers), Protease and Inhibitor Mechanisms (5 papers), Protein Degradation and Inhibitors (3 papers), Histone Deacetylase Inhibitors Research (3 papers), Cancer therapeutics and mechanisms (3 papers) and Bacterial Genetics and Biotechnology (3 papers). The work is most often cited by research in Cell Biology (125 citations), Oncology (177 citations), Cancer Research (70 citations), Molecular Biology (318 citations) and Organic Chemistry (115 citations). Claire Coderch has collaborated with scholars based in Spain, Poland and United Kingdom. Frequent co-authors include Federico Gago, Beatriz de Pascual‐Teresa, Ana Ramos, José María Zapico, Antonio Morreale, J. Fernando Dı́az, Jesús Jiménez‐Barbero, José M. Andreu, Loganathan Rangasamy and Irene Ortín. Their work appears in journals such as ChemMedChem, Molecules, RSC Advances, Organic & Biomolecular Chemistry and ACS Chemical 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.