Alejandro A. Schäffer

30.4k total citations · 7 hit papers
226 papers, 14.7k citations indexed

About

Alejandro A. Schäffer is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Alejandro A. Schäffer has authored 226 papers receiving a total of 14.7k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Molecular Biology, 84 papers in Genetics and 39 papers in Cancer Research. Recurrent topics in Alejandro A. Schäffer's work include Cancer Genomics and Diagnostics (35 papers), Genomic variations and chromosomal abnormalities (24 papers) and Genomics and Phylogenetic Studies (22 papers). Alejandro A. Schäffer is often cited by papers focused on Cancer Genomics and Diagnostics (35 papers), Genomic variations and chromosomal abnormalities (24 papers) and Genomics and Phylogenetic Studies (22 papers). Alejandro A. Schäffer collaborates with scholars based in United States, Germany and Israel. Alejandro A. Schäffer's 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 and has published in prestigious journals such as Science, New England Journal of Medicine and Nucleic Acids Research.

In The Last Decade

Alejandro A. Schäffer

218 papers receiving 14.3k citations

Hit Papers

Faster sequential genetic linkage computations. 1993 2026 2004 2015 1993 2008 2005 2012 2009 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Faster sequential genetic linkage computations.
    1993 1.1k citations Alejandro A. Schäffer et al. PubMed profile →
  2. Database indexing for production MegaBLAST searches
    2008 908 citations Alejandro A. Schäffer et al. Bioinformatics profile →
  3. Protein database searches using compositionally adjusted substitution matrices
    2005 827 citations E. Michael Gertz, Alejandro A. Schäffer et al. profile →
  4. Domain enhanced lookup time accelerated BLAST
    2012 615 citations Alejandro A. Schäffer et al. profile →
  5. A Homozygous CARD9 Mutation in a Family with Susceptibility to Fungal Infections
    2009 574 citations Alejandro A. Schäffer, Nima Rezaei et al. profile →
  6. Mapping of a Gene for Parkinson's Disease to Chromosome 4q21-q23
    1996 548 citations Alejandro A. Schäffer et al. profile →
  7. Homozygous loss of ICOS is associated with adult-onset common variable immunodeficiency
    2003 534 citations Bodo Grimbacher, Alejandro A. Schäffer et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Alejandro A. Schäffer United States 51 5.8k 3.9k 2.7k 1.2k 1.2k 226 14.7k
Joaquı́n Dopazo Spain 69 11.8k 2.0× 3.3k 0.8× 1.4k 0.5× 1.7k 1.4× 3.8k 3.1× 356 21.1k
Ben Fry United States 20 8.8k 1.5× 7.1k 1.8× 1.9k 0.7× 1.6k 1.3× 1.3k 1.1× 31 19.9k
Feng Chen China 64 9.7k 1.7× 1.8k 0.5× 2.1k 0.8× 2.2k 1.8× 1.1k 0.9× 730 19.1k
Joakim Lundeberg Sweden 67 10.9k 1.9× 2.3k 0.6× 1.8k 0.7× 2.3k 1.9× 1.8k 1.4× 317 18.0k
Pardis C. Sabeti United States 51 8.2k 1.4× 6.7k 1.7× 1.2k 0.4× 970 0.8× 1.2k 0.9× 142 19.1k
Eric E. Schadt United States 74 13.8k 2.4× 6.9k 1.8× 3.2k 1.2× 2.1k 1.7× 1.1k 0.9× 298 26.1k
Huaiyu Mi United States 23 8.5k 1.5× 2.1k 0.5× 1.3k 0.5× 1.6k 1.3× 1.2k 1.0× 41 13.6k
Huanming Yang China 54 8.6k 1.5× 3.0k 0.8× 878 0.3× 1.2k 1.0× 2.7k 2.2× 335 14.0k
Shifu Chen China 22 8.2k 1.4× 2.4k 0.6× 1.2k 0.5× 1.3k 1.0× 4.0k 3.2× 146 17.7k
Alexander Röth Germany 31 15.5k 2.7× 2.3k 0.6× 2.3k 0.8× 3.4k 2.8× 1.8k 1.5× 80 24.7k

Countries citing papers authored by Alejandro A. Schäffer

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Alejandro A. Schäffer

This figure shows the co-authorship network connecting the top 25 collaborators of Alejandro A. Schäffer. A scholar is included among the top collaborators of Alejandro A. Schäffer 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 Alejandro A. Schäffer. Alejandro A. Schäffer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Abolhassani, Hassan, Andrés Caballero-Oteyza, Mingyu Yang, et al.. (2025). Re-evaluation of the contribution of TNFRSF13B variants to antibody deficiency. PubMed. 1(4).
2.
Nair, Nishanth Ulhas, Alejandro A. Schäffer, E. Michael Gertz, et al.. (2024). Chromosome 7 Gain Compensates for Chromosome 10 Loss in Glioma. Cancer Research. 84(20). 3464–3477. 8 indexed citations
3.
Schäffer, Alejandro A., et al.. (2024). Outcome differences by sex in oncology clinical trials. Nature Communications. 15(1). 2608–2608. 29 indexed citations
4.
Robinson, Welles, Joshua K. Stone, Fiorella Schischlik, et al.. (2024). Identification of intracellular bacteria from multiple single-cell RNA-seq platforms using CSI-Microbes. Science Advances. 10(27). eadj7402–eadj7402. 10 indexed citations
5.
Sinha, Sanju, Rahulsimham Vegesna, Sumit Mukherjee, et al.. (2024). PERCEPTION predicts patient response and resistance to treatment using single-cell transcriptomics of their tumors. Nature Cancer. 5(6). 938–952. 48 indexed citations
6.
Chang, Tiangen, Yingying Cao, Eldad D. Shulman, et al.. (2023). Optimizing cancer immunotherapy response prediction by tumor aneuploidy score and fraction of copy number alterations. npj Precision Oncology. 7(1). 54–54. 12 indexed citations
7.
Ye, Ying, Daniel E. Schäffer, Hao Xue, et al.. (2023). A deep learning approach reveals unexplored landscape of viral expression in cancer. Nature Communications. 14(1). 785–785. 15 indexed citations
8.
Vegesna, Rahulsimham, Sanju Sinha, Fiorella Schischlik, et al.. (2022). The landscape of receptor-mediated precision cancer combination therapy via a single-cell perspective. Nature Communications. 13(1). 20 indexed citations
9.
Israel, Ariel, Eugene Merzon, Yotam Shenhar, et al.. (2022). Clinical and Laboratory Features in the Israeli Population with COVID-19 Infection after Pfizer-BioNTech mRNA Booster Vaccination. Vaccines. 10(5). 636–636. 1 indexed citations
10.
Israel, Ariel, Alejandro A. Schäffer, Eugene Merzon, et al.. (2022). A Calculator for COVID-19 Severity Prediction Based on Patient Risk Factors and Number of Vaccines Received. Microorganisms. 10(6). 1238–1238. 2 indexed citations
11.
Lei, Haoyun, E. Michael Gertz, Alejandro A. Schäffer, et al.. (2021). Tumor heterogeneity assessed by sequencing and fluorescence in situ hybridization (FISH) data. Bioinformatics. 37(24). 4704–4711. 9 indexed citations
12.
Israel, Ariel, Eugene Merzon, Alejandro A. Schäffer, et al.. (2021). Elapsed time since BNT162b2 vaccine and risk of SARS-CoV-2 infection: test negative design study. BMJ. 375. e067873–e067873. 103 indexed citations
13.
Sinha, Sanju, Kuoyuan Cheng, Sanna Madan, et al.. (2021). Using a Recently Approved Tumor Mutational Burden Biomarker to Stratify Patients for Immunotherapy May Introduce a Sex Bias. JCO Precision Oncology. 5(5). 1147–1150. 3 indexed citations
14.
Israel, Ariel, Yotam Shenhar, Ilan Green, et al.. (2021). Large-Scale Study of Antibody Titer Decay following BNT162b2 mRNA Vaccine or SARS-CoV-2 Infection. Vaccines. 10(1). 64–64. 141 indexed citations
15.
Mehrabadi, Farid Rashidi, Salem Malikić, Osnat Bartok, et al.. (2020). PhISCS-BnB: a fast branch and bound algorithm for the perfect tumor phylogeny reconstruction problem. Bioinformatics. 36(Supplement_1). i169–i176. 14 indexed citations
16.
Sinha, Sanju, Khadijah A. Mitchell, Adriana Zingone, et al.. (2020). Higher prevalence of homologous recombination deficiency in tumors from African Americans versus European Americans. Nature Cancer. 1(1). 112–121. 22 indexed citations
17.
Li, Chunyu, Ni Wang, Alejandro A. Schäffer, et al.. (2020). Mutations in COMP cause familial carpal tunnel syndrome. Nature Communications. 11(1). 3642–3642. 15 indexed citations
18.
Heselmeyer‐Haddad, Kerstin, Daniela Hirsch, Yue Hu, et al.. (2020). High Levels of Chromosomal Copy Number Alterations and TP53 Mutations Correlate with Poor Outcome in Younger Breast Cancer Patients. American Journal Of Pathology. 190(8). 1643–1656. 12 indexed citations
19.
Jin, Yumi, Alejandro A. Schäffer, Stephen T. Sherry, & Michael Feolo. (2017). Quickly identifying identical and closely related subjects in large databases using genotype data. PLoS ONE. 12(6). e0179106–e0179106. 15 indexed citations
20.
Papadimitriou, Christos H., Alejandro A. Schäffer, & Mihalis Yannakakis. (1990). ON THE COMPLEXITY OF LOCAL SEARCH (Extended Abstract). 438–445. 3 indexed citations

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.

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