Miquel Vila‐Perelló
- Molecular Biology top 10%
- Organic Chemistry top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Oncology
- Immunology
- Co-authors
- Tom W. MuirDavid AndreuNeel H. ShahZhihua LiuShivam VermaYael DavidGeoffrey P. DannMarc Ribó
- Topics
- Glycosylation and Glycoproteins Research (8 papers)RNA and protein synthesis mechanisms (8 papers)Chemical Synthesis and Analysis (6 papers)
- Journals
- CellProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- United StatesSpainGermany
In The Last Decade
Miquel Vila‐Perelló
30 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 74
- Molecular Biology 976
- Organic Chemistry 261
- Radiology, Nuclear Medicine and Imaging 180
- Oncology 158
- Immunology 129
Countries citing papers authored by Miquel Vila‐Perelló
This map shows the geographic impact of Miquel Vila‐Perelló'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 Miquel Vila‐Perelló with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miquel Vila‐Perelló more than expected).
Fields of papers citing papers by Miquel Vila‐Perelló
This network shows the impact of papers produced by Miquel Vila‐Perelló. 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 Miquel Vila‐Perelló. The network helps show where Miquel Vila‐Perelló may publish in the future.
Co-authorship network of co-authors of Miquel Vila‐Perelló
This figure shows the co-authorship network connecting the top 25 collaborators of Miquel Vila‐Perelló. A scholar is included among the top collaborators of Miquel Vila‐Perelló based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Miquel Vila‐Perelló. Miquel Vila‐Perelló is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Expressed protein ligation : methods and protocols | 2 |
| 2 | 1 | |
| 3 | 14 | |
| 4 | 128 | |
| 5 | 30 | |
| 6 | 54 | |
| 7 | 26 | |
| 8 | 18 | |
| 9 | 136 | |
| 10 | 66 | |
| 11 | 12 | |
| 12 | 77 | |
| 13 | 4 | |
| 14 | 19 | |
| 15 | 39 | |
| 16 | 13 | |
| 17 | 39 | |
| 18 | 21 | |
| 19 | 29 | |
| 20 | 43 |
About Miquel Vila‐Perelló
Miquel Vila‐Perelló is a scholar working on Microbiology, Molecular Biology and Organic Chemistry, having authored 30 papers that have together received 1.1k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (8 papers), RNA and protein synthesis mechanisms (8 papers) and Chemical Synthesis and Analysis (6 papers). The work is most often cited by research in Microbiology (116 citations), Molecular Biology (976 citations) and Organic Chemistry (261 citations). Miquel Vila‐Perelló has collaborated with scholars based in United States, Spain and Germany. Frequent co-authors include Tom W. Muir, David Andreu, Neel H. Shah, Zhihua Liu, Shivam Verma, Yael David, Geoffrey P. Dann, Marc Ribó, Yuichiro Hori and Ricardo Gutiérrez–Gallego. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.