Peter Bloomingdale
Impact in
-
- Computational Drug Discovery Methods
-
- Pharmacogenetics and Drug Metabolism
Papers in
-
- Computational Drug Discovery Methods 5
-
- Cell Image Analysis Techniques 2
- Co-authors
- Don Mager (4 shared papers)Jin Niu (1 shared paper)John M. Burke (1 shared paper)Dhaval K. Shah (1 shared paper)Suruchi Bakshi (2 shared papers)Joshua F. Apgar (1 shared paper)Jackson K. Burton (1 shared paper)Jagdeep T. Podichetty (1 shared paper)
- Journals
- CPT Pharmacometrics & Systems Pharmacology (4 papers)Frontiers in Pharmacology (2 papers)Microscopy and Microanalysis (1 paper)Pharmaceutical Research (1 paper)Current Opinion in Toxicology (1 paper)
- Partner nations
- United StatesRussiaPoland
In The Last Decade
Peter Bloomingdale
11 papers receiving 285 citations
Peers
Comparison fields: 5 of 78
- Computational Theory and Mathematics 105
- Pharmacology 26
- Biophysics 16
- Health Informatics 4
- Statistics and Probability 21
Countries citing papers authored by Peter Bloomingdale
This map shows the geographic impact of Peter Bloomingdale'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 Peter Bloomingdale with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Bloomingdale more than expected).
Fields of papers citing papers by Peter Bloomingdale
This network shows the impact of papers produced by Peter Bloomingdale. 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 Peter Bloomingdale. The network helps show where Peter Bloomingdale may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Bloomingdale, 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 | 2018 | 66 | |
| 2 | 2020 | 60 | |
| 3 | 2017 | 39 | |
| 4 | 2022 | 35 | |
| 5 | 2021 | 26 | |
| 6 | 2019 | 21 | |
| 7 | 2022 | 17 | |
| 8 | 2021 | 15 | |
| 9 | 2022 | 13 | |
| 10 | 2023 | 4 | |
| 11 | 2022 | 1 |
About Peter Bloomingdale
Peter Bloomingdale is a scholar working on Computational Theory and Mathematics, Biophysics, Physiology, Neurology and Molecular Biology, having authored 11 papers that have together received 297 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Alzheimer's disease research and treatments (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Single-cell and spatial transcriptomics (2 papers), Cell Image Analysis Techniques (2 papers), Statistical Methods in Clinical Trials (1 paper), Microbial Metabolic Engineering and Bioproduction (1 paper) and Gene Regulatory Network Analysis (1 paper). The work is most often cited by research in Computational Theory and Mathematics (105 citations), Pharmacology (26 citations), Biophysics (16 citations), Health Informatics (4 citations) and Statistics and Probability (21 citations). Peter Bloomingdale has collaborated with scholars based in United States, Russia and Poland. Frequent co-authors include Don Mager, Jin Niu, John M. Burke, Dhaval K. Shah, Suruchi Bakshi, Joshua F. Apgar, Jackson K. Burton, Jagdeep T. Podichetty, Sarah Kim and Samuel Kim. Their work appears in journals such as CPT Pharmacometrics & Systems Pharmacology, Frontiers in Pharmacology, Microscopy and Microanalysis, Pharmaceutical Research and Current Opinion in Toxicology.
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.