Benjamin J. Auerbach

791 total citations
6 papers, 107 citations indexed

About

Benjamin J. Auerbach is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Benjamin J. Auerbach has authored 6 papers receiving a total of 107 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Genetics and 2 papers in Immunology. Recurrent topics in Benjamin J. Auerbach's work include Single-cell and spatial transcriptomics (3 papers), Gene expression and cancer classification (2 papers) and Pregnancy and preeclampsia studies (1 paper). Benjamin J. Auerbach is often cited by papers focused on Single-cell and spatial transcriptomics (3 papers), Gene expression and cancer classification (2 papers) and Pregnancy and preeclampsia studies (1 paper). Benjamin J. Auerbach collaborates with scholars based in United States and Germany. Benjamin J. Auerbach's co-authors include Mingyao Li, Jian Hu, Amelia Schroeder, Chixiang Chen, Kyle Coleman, Gil Mor, Michelle Silasi, Karen Racicot, Paulomi Aldo and Muredach P. Reilly and has published in prestigious journals such as Nature Communications, Genome Research and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Benjamin J. Auerbach

6 papers receiving 105 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benjamin J. Auerbach United States 4 77 30 18 13 13 6 107
Yajie Zhao United Kingdom 6 80 1.0× 8 0.3× 10 0.6× 12 0.9× 7 0.5× 13 140
Kathryn Lande United States 3 94 1.2× 8 0.3× 9 0.5× 12 0.9× 6 0.5× 5 128
Marie Bernkopf Austria 5 40 0.5× 9 0.3× 15 0.8× 5 0.4× 3 0.2× 8 74
Athena Georgilis United Kingdom 3 52 0.7× 7 0.2× 7 0.4× 42 3.2× 40 3.1× 3 99
Elizabeth Soehalim United States 6 196 2.5× 6 0.2× 18 1.0× 3 0.2× 1 0.1× 9 235
Juntao Qi China 3 84 1.1× 7 0.2× 8 0.4× 4 0.3× 1 0.1× 7 113
Aina Jené Spain 3 41 0.5× 16 0.5× 14 0.8× 10 0.8× 1 0.1× 4 80
Dorothea Wand Germany 5 55 0.7× 8 0.3× 3 0.2× 8 0.6× 10 0.8× 9 78
Francesco Mastrorosa Australia 3 85 1.1× 3 0.1× 42 2.3× 15 1.2× 24 1.8× 4 127
Xian Du China 6 119 1.5× 6 0.2× 53 2.9× 5 0.4× 3 0.2× 8 144

Countries citing papers authored by Benjamin J. Auerbach

Since Specialization
Citations

This map shows the geographic impact of Benjamin J. Auerbach'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 Benjamin J. Auerbach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin J. Auerbach more than expected).

Fields of papers citing papers by Benjamin J. Auerbach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benjamin J. Auerbach. 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 Benjamin J. Auerbach. The network helps show where Benjamin J. Auerbach may publish in the future.

Co-authorship network of co-authors of Benjamin J. Auerbach

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

All Works

6 of 6 papers shown
1.
Tang, Soon Yew, Ronan Lordan, Hu Meng, et al.. (2024). Differential Impact In Vivo of Pf4-ΔCre–Mediated and Gp1ba-ΔCre–Mediated Depletion of Cyclooxygenase-1 in Platelets in Mice. Arteriosclerosis Thrombosis and Vascular Biology. 44(6). 1393–1406. 2 indexed citations
2.
Conery, Mitchell, et al.. (2023). Regularized sequence-context mutational trees capture variation in mutation rates across the human genome. PLoS Genetics. 19(7). e1010807–e1010807. 3 indexed citations
3.
Auerbach, Benjamin J., Garret A. FitzGerald, & Mingyao Li. (2022). Tempo: an unsupervised Bayesian algorithm for circadian phase inference in single-cell transcriptomics. Nature Communications. 13(1). 6580–6580. 10 indexed citations
4.
Auerbach, Benjamin J., Jian Hu, Muredach P. Reilly, & Mingyao Li. (2021). Applications of single-cell genomics and computational strategies to study common disease and population-level variation. Genome Research. 31(10). 1728–1741. 13 indexed citations
5.
Hu, Jian, Amelia Schroeder, Kyle Coleman, et al.. (2021). Statistical and machine learning methods for spatially resolved transcriptomics with histology. Computational and Structural Biotechnology Journal. 19. 3829–3841. 55 indexed citations
6.
Racicot, Karen, et al.. (2014). Human Chorionic Gonadotropin Enhances Trophoblast–Epithelial Interaction in an In Vitro Model of Human Implantation. Reproductive Sciences. 21(10). 1274–1280. 24 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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