Alejandro A. Schäffer
- Genetics top 0.2%
- Genomic variations and chromosomal abnormalities 24
- Genetic Mapping and Diversity in Plants and Animals 20
- Blood disorders and treatments 14
- Immunology top 0.5%
- Immunodeficiency and Autoimmune Disorders 18
- Molecular Biology top 1%
- Genomics and Phylogenetic Studies 22
- Cancer Research top 1%
- Cancer Genomics and Diagnostics 35
- Infectious Diseases top 1%
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- Advanced Graph Theory Research 17
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- Algorithms and Data Compression 16
- Co-authors
- Richa AgarwalaRamana M. IduryE. Michael GertzAleksandr MorgulisRobert W. CottinghamStephen F. AltschulThomas MaddenYi‐Kuo Yu
- Cited by
- GeneticsImmunologyMolecular Biology
- Partner nations
- United StatesGermanyIsrael
In The Last Decade
Alejandro A. Schäffer
218 papers receiving 14.3k citations
Hit Papers
Peers
Comparison fields: 5 of 193
- Genetics 3.9k
- Immunology 2.7k
- Molecular Biology 5.8k
- Cancer Research 1.2k
- Infectious Diseases 1.2k
Countries citing papers authored by Alejandro A. Schäffer
This map shows the geographic impact of Alejandro A. Schäffer'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 Alejandro A. Schäffer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alejandro A. Schäffer more than expected).
Fields of papers citing papers by Alejandro A. Schäffer
This network shows the impact of papers produced by Alejandro A. Schäffer. 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 Alejandro A. Schäffer. The network helps show where Alejandro A. Schäffer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Alejandro A. Schäffer, 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 | 0 | |
| 2 | 2024 | 8 | |
| 3 | 2024 | 29 | |
| 4 | 2024 | 10 | |
| 5 | 2024 | 48 | |
| 6 | 2023 | 12 | |
| 7 | 2023 | 15 | |
| 8 | 2022 | 20 | |
| 9 | 2022 | 1 | |
| 10 | 2022 | 2 | |
| 11 | 2021 | 9 | |
| 12 | 2021 | 103 | |
| 13 | 2021 | 3 | |
| 14 | 2021 | 141 | |
| 15 | 2020 | 14 | |
| 16 | 2020 | 22 | |
| 17 | 2020 | 15 | |
| 18 | 2020 | 12 | |
| 19 | 2017 | 15 | |
| 20 | ON THE COMPLEXITY OF LOCAL SEARCH (Extended Abstract) | 1990 | 3 |
About Alejandro A. Schäffer
Alejandro A. Schäffer is a scholar working on Genetics, Cancer Research, Computational Theory and Mathematics, Immunology and Molecular Biology, having authored 226 papers that have together received 14.7k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (35 papers), Genomic variations and chromosomal abnormalities (24 papers), Genomics and Phylogenetic Studies (22 papers), Genetic Mapping and Diversity in Plants and Animals (20 papers), Immunodeficiency and Autoimmune Disorders (18 papers), Advanced Graph Theory Research (17 papers), Algorithms and Data Compression (16 papers) and Blood disorders and treatments (14 papers). The work is most often cited by research in Genetics (3.9k citations), Immunology (2.7k citations), Molecular Biology (5.8k citations), Cancer Research (1.2k citations) and Infectious Diseases (1.2k citations). Alejandro A. Schäffer has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include Richa Agarwala, Ramana M. Idury, E. Michael Gertz, Aleksandr Morgulis, Robert W. Cottingham, Stephen F. Altschul, Thomas Madden, Yi‐Kuo Yu, Bodo Grimbacher and George Coulouris. Their work appears in journals such as Bioinformatics, PLoS ONE, Genomics, Genes Chromosomes and Cancer and Journal of Computational 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.