Gerardo Álvarez-Manilla
- Molecular Biology top 10%
- Spectroscopy top 2%
- Organic Chemistry top 10%
- Immunology
- Cell Biology top 10%
- Co-authors
- Ron OrlandoJames AtwoodMichael PierceWilliam S. YorkYan GuoLei ChengParastoo AzadiStephen Dalton
- Topics
- Glycosylation and Glycoproteins Research (17 papers)Carbohydrate Chemistry and Synthesis (10 papers)Galectins and Cancer Biology (4 papers)
- Journals
- Journal of Molecular BiologyAnalytical BiochemistryBiochemical and Biophysical Research Communications
- Partner nations
- United StatesMexicoCanada
In The Last Decade
Gerardo Álvarez-Manilla
19 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 79
- Molecular Biology 900
- Spectroscopy 351
- Organic Chemistry 318
- Immunology 155
- Cell Biology 148
Countries citing papers authored by Gerardo Álvarez-Manilla
This map shows the geographic impact of Gerardo Álvarez-Manilla'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 Gerardo Álvarez-Manilla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerardo Álvarez-Manilla more than expected).
Fields of papers citing papers by Gerardo Álvarez-Manilla
This network shows the impact of papers produced by Gerardo Álvarez-Manilla. 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 Gerardo Álvarez-Manilla. The network helps show where Gerardo Álvarez-Manilla may publish in the future.
Co-authorship network of co-authors of Gerardo Álvarez-Manilla
This figure shows the co-authorship network connecting the top 25 collaborators of Gerardo Álvarez-Manilla. A scholar is included among the top collaborators of Gerardo Álvarez-Manilla 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 Gerardo Álvarez-Manilla. Gerardo Álvarez-Manilla is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 17 | |
| 3 | 28 | |
| 4 | 47 | |
| 5 | 105 | |
| 6 | 19 | |
| 7 | 32 | |
| 8 | 135 | |
| 9 | 125 | |
| 10 | 11 | |
| 11 | 34 | |
| 12 | 68 | |
| 13 | 163 | |
| 14 | 17 | |
| 15 | 13 | |
| 16 | 63 | |
| 17 | 16 | |
| 18 | 55 | |
| 19 | 67 |
About Gerardo Álvarez-Manilla
Gerardo Álvarez-Manilla is a scholar working on Organic Chemistry, Molecular Biology and Immunology, having authored 19 papers that have together received 1.0k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (17 papers), Carbohydrate Chemistry and Synthesis (10 papers) and Galectins and Cancer Biology (4 papers). The work is most often cited by research in Spectroscopy (351 citations), Molecular Biology (900 citations) and Organic Chemistry (318 citations). Gerardo Álvarez-Manilla has collaborated with scholars based in United States, Mexico and Canada. Frequent co-authors include Ron Orlando, James Atwood, Michael Pierce, William S. York, Yan Guo, Lei Cheng, Parastoo Azadi, Stephen Dalton, Liying Yan and David F. Smith. Their work appears in journals such as Journal of Molecular Biology, Analytical Biochemistry and Biochemical and Biophysical Research Communications.
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.