M. Esperanza Cerdán
- Biotechnology top 1%
- Enzyme Production and Characterization 23
- Molecular Biology top 5%
- Fungal and yeast genetics research 63
- Microbial Metabolic Engineering and Bioproduction 27
- Enzyme Catalysis and Immobilization 13
- RNA and protein synthesis mechanisms 12
- Photosynthetic Processes and Mechanisms 12
- Biomedical Engineering top 5%
- Biofuel production and bioconversion 31
- Food Science top 5%
- Clinical Biochemistry top 10%
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- Enzyme Structure and Function 14
- Co-authors
- María-Isabel González-SisoManuel BecerraOlalla López-LópezMaría Ángeles Freire-PicosElvira RamilEsther Rodríguez‐BelmonteMónica Lamas‐MaceirasRichard S. Zitomer
- Journals
- Journal of Biological Chemistry (1 paper)SHILAP Revista de lepidopterología (1 paper)PLoS ONE (1 paper)
- Partner nations
- SpainUnited StatesBrazil
In The Last Decade
M. Esperanza Cerdán
123 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 106
- Biotechnology 420
- Molecular Biology 1.8k
- Biomedical Engineering 599
- Food Science 235
- Clinical Biochemistry 59
Countries citing papers authored by M. Esperanza Cerdán
This map shows the geographic impact of M. Esperanza Cerdán'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 M. Esperanza Cerdán with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Esperanza Cerdán more than expected).
Fields of papers citing papers by M. Esperanza Cerdán
This network shows the impact of papers produced by M. Esperanza Cerdán. 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 M. Esperanza Cerdán. The network helps show where M. Esperanza Cerdán may publish in the future.
Co-authorship network
The 25 scholars most cited alongside M. Esperanza Cerdán, 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 | 2025 | 2 | |
| 2 | 2023 | 0 | |
| 3 | 2019 | 3 | |
| 4 | 2019 | 20 | |
| 5 | 2018 | 19 | |
| 6 | 2018 | 14 | |
| 7 | 2017 | 26 | |
| 8 | 2017 | 50 | |
| 9 | 2016 | 8 | |
| 10 | 2015 | 33 | |
| 11 | 2014 | 113 | |
| 12 | 2011 | 20 | |
| 13 | 2011 | 16 | |
| 14 | 2007 | 17 | |
| 15 | 2006 | 25 | |
| 16 | 2002 | 10 | |
| 17 | 2001 | 36 | |
| 18 | 2001 | 8 | |
| 19 | 2000 | 25 | |
| 20 | 1999 | 23 |
About M. Esperanza Cerdán
M. Esperanza Cerdán is a scholar working on Biotechnology, Molecular Biology and Clinical Biochemistry, having authored 125 papers that have together received 2.2k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (63 papers), Biofuel production and bioconversion (31 papers), Microbial Metabolic Engineering and Bioproduction (27 papers), Enzyme Production and Characterization (23 papers), Enzyme Structure and Function (14 papers), Enzyme Catalysis and Immobilization (13 papers), RNA and protein synthesis mechanisms (12 papers) and Photosynthetic Processes and Mechanisms (12 papers). The work is most often cited by research in Biotechnology (420 citations), Molecular Biology (1.8k citations) and Biomedical Engineering (599 citations). M. Esperanza Cerdán has collaborated with scholars based in Spain, United States and Brazil. Frequent co-authors include María-Isabel González-Siso, Manuel Becerra, Olalla López-López, María Ángeles Freire-Picos, Elvira Ramil, Esther Rodríguez‐Belmonte, Mónica Lamas‐Maceiras, Richard S. Zitomer, Rafael Fernández-Leiro and J. Sanz‐Aparicio. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.
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.