Benjamin J. Auerbach

6 papers receiving 562 citations

Benjamin J. Auerbach's Hit Papers

Single-Cell Genomics Reveals a Novel Cell State During Smooth Muscle Cell Phenotypic Switching and Potential Therapeutic Targets for Atherosclerosis in Mouse and Human 2020 · 466 citations
4660+2+4Years since publication100200300400

Peers

Benjamin J. Auerbach
Comparison fields: 5 of 57
  • Immunology 221
  • Cancer Research 65
  • Molecular Biology 303
  • Immunology and Allergy 14
  • Biophysics 11
Replace Alexander C. Bashore with:
Alexander C. Bashore United States
Anne C. Brisset Switzerland
Stephen Sakuma United States
Nayanika Bhalla Sweden
Xiaofang Xiong China
Troy F. Kimsey United States
Ashwini Dhume United States
Qilin Gu United States
Anne Forde Germany
Muriel G. Blin United States
Benjamin J. Auerbach relative to Alexander C. Bashore United States Alexander C. Bashore's profile →
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Alexander C. Bashore · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Benjamin J. Auerbach, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Benjamin J. Auerbach Line = papers co-authored together Benjamin J. Auerbach links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1
Single-Cell Genomics Reveals a Novel Cell State During Smooth Muscle Cell Phenotypic Switching and Potential Therapeutic Targets for Atherosclerosis in Mouse and Human
Hit paper breakdown →
2020466
2 202155
3 201426
4 202213
5 20233
6 20243

About Benjamin J. Auerbach

Benjamin J. Auerbach is a scholar working on Endocrine and Autonomic Systems, Obstetrics and Gynecology, Reproductive Medicine, Molecular Biology and Hematology, having authored 6 papers that have together received 566 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (3 papers), Platelet Disorders and Treatments (1 paper), Pregnancy and preeclampsia studies (1 paper), Gene expression and cancer classification (1 paper), Gene Regulatory Network Analysis (1 paper), Genomics and Phylogenetic Studies (1 paper), Evolution and Genetic Dynamics (1 paper) and Genomics and Rare Diseases (1 paper). The work is most often cited by research in Immunology (221 citations), Cancer Research (65 citations), Molecular Biology (303 citations), Immunology and Allergy (14 citations) and Biophysics (11 citations). Benjamin J. Auerbach has collaborated with scholars based in United States and Germany. Frequent co-authors include Jian Hu, Mingyao Li, Kyle Coleman, Chixiang Chen, Amelia R. Schroeder, Garret A. FitzGerald, Paulomi Bole Aldo, Mingyao Li, Michelle Silasi and Mor Gil. Their work appears in journals such as Computational and Structural Biotechnology Journal, Reproductive Sciences, Nature Communications, PLoS Genetics and Arteriosclerosis Thrombosis and Vascular 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.

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