Benjamin J. Auerbach
Impact in
- Immunology top 5%
- Atherosclerosis and Cardiovascular Diseases
- Reproductive System and Pregnancy
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- Single-cell and spatial transcriptomics
- Extracellular vesicles in disease
Papers in
-
- Atherosclerosis and Cardiovascular Diseases 1
- Reproductive System and Pregnancy 1
-
- Circadian rhythm and melatonin 1
- Co-authors
- Jian Hu (1 shared paper)Kyle Coleman (1 shared paper)Amelia R. Schroeder (1 shared paper)Chixiang Chen (1 shared paper)Mingyao Li (1 shared paper)Garret A. FitzGerald (2 shared papers)Gil Mor (1 shared paper)Michelle Silasi (1 shared paper)
- Journals
- Arteriosclerosis Thrombosis and Vascular Biology (1 paper)Reproductive Sciences (1 paper)Circulation (1 paper)Nature Communications (1 paper)PLoS Genetics (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Benjamin J. Auerbach
6 papers receiving 572 citations
Benjamin J. Auerbach's Hit Papers
Peers
Comparison fields: 5 of 53
- Immunology 328
- Molecular Biology 188
- Endocrine and Autonomic Systems 10
- Cancer Research 22
- Cell Biology 17
Countries citing papers authored by Benjamin J. Auerbach
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
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.
All Works
| # | 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 → | 2020 | 471 |
| 2 | 2021 | 57 | |
| 3 | 2014 | 26 | |
| 4 | 2022 | 13 | |
| 5 | 2023 | 4 | |
| 6 | 2024 | 4 |
About Benjamin J. Auerbach
Benjamin J. Auerbach is a scholar working on Immunology, Endocrine and Autonomic Systems, Hematology, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 6 papers that have together received 575 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (2 papers), Circadian rhythm and melatonin (1 paper), Atherosclerosis and Cardiovascular Diseases (1 paper), Genetic diversity and population structure (1 paper), Reproductive System and Pregnancy (1 paper), Evolution and Genetic Dynamics (1 paper), Genetic Associations and Epidemiology (1 paper) and Platelet Disorders and Treatments (1 paper). The work is most often cited by research in Immunology (328 citations), Molecular Biology (188 citations), Endocrine and Autonomic Systems (10 citations), Cancer Research (22 citations) and Cell Biology (17 citations). Benjamin J. Auerbach has collaborated with scholars based in United States and Germany. Frequent co-authors include Jian Hu, Kyle Coleman, Amelia R. Schroeder, Chixiang Chen, Mingyao Li, Garret A. FitzGerald, Gil Mor, Mingyao Li, Michelle Silasi and Karen E. Racicot. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, Reproductive Sciences, Circulation, Nature Communications and PLoS Genetics.
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.