David Hahn
Impact in
- Epidemiology top 1%
- Autophagy in Disease and Therapy
- Physiology top 1%
- Calcium signaling and nucleotide metabolism
Papers in
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- Neonatal Health and Biochemistry 4
- Pharmacological Effects and Toxicity Studies 2
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- Metabolism and Genetic Disorders 3
- Co-authors
- Alexander A. T. M. M. Vinks (8 shared papers)Tsuyoshi Fukuda (7 shared papers)Chie Emoto (6 shared papers)Tomoyuki Mizuno (5 shared papers)Trevor N. Johnson (2 shared papers)Joshua C. Euteneuer (3 shared papers)Timothy E. Weaver (1 shared paper)Cheng-Lun Na (1 shared paper)
- Journals
- Expert Opinion on Drug Metabolism & Toxicology (2 papers)Clinical Pharmacology & Therapeutics (2 papers)CPT Pharmacometrics & Systems Pharmacology (2 papers)Autophagy (1 paper)Journal of Child and Adolescent Psychopharmacology (1 paper)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
David Hahn
14 papers receiving 4.9k citations
David Hahn's Hit Papers
Peers
Comparison fields: 5 of 143
- Epidemiology 3.0k
- Physiology 381
- Geriatrics and Gerontology 177
- Aging 81
- Cell Biology 671
Countries citing papers authored by David Hahn
This map shows the geographic impact of David Hahn'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 David Hahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Hahn more than expected).
Fields of papers citing papers by David Hahn
This network shows the impact of papers produced by David Hahn. 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 David Hahn. The network helps show where David Hahn may publish in the future.
Co-authors
The 25 scholars most cited alongside David Hahn, 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 | Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition) Hit paper breakdown → | 2016 | 4660 |
| 2 | 2018 | 44 | |
| 3 | 2019 | 42 | |
| 4 | 2019 | 42 | |
| 5 | 2018 | 38 | |
| 6 | 2014 | 24 | |
| 7 | 2016 | 17 | |
| 8 | 2020 | 17 | |
| 9 | 2016 | 10 | |
| 10 | 2020 | 9 | |
| 11 | 2020 | 8 | |
| 12 | 2019 | 6 | |
| 13 | 2016 | 2 | |
| 14 | 2020 | 1 |
About David Hahn
David Hahn is a scholar working on Pediatrics, Perinatology and Child Health, Clinical Biochemistry, Oncology, Pharmacology and Epidemiology, having authored 14 papers that have together received 4.9k indexed citations. Recurring topics across this work include Neonatal Health and Biochemistry (4 papers), Drug Transport and Resistance Mechanisms (4 papers), Metabolism and Genetic Disorders (3 papers), Autophagy in Disease and Therapy (3 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers), Pharmacological Effects and Toxicity Studies (2 papers), Blood disorders and treatments (1 paper) and RNA modifications and cancer (1 paper). The work is most often cited by research in Epidemiology (3.0k citations), Physiology (381 citations), Geriatrics and Gerontology (177 citations), Aging (81 citations) and Cell Biology (671 citations). David Hahn has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Alexander A. T. M. M. Vinks, Tsuyoshi Fukuda, Chie Emoto, Tomoyuki Mizuno, Trevor N. Johnson, Joshua C. Euteneuer, Timothy E. Weaver, Cheng-Lun Na, Jeffrey Robert Strawn and Laura B. Ramsey. Their work appears in journals such as Expert Opinion on Drug Metabolism & Toxicology, Clinical Pharmacology & Therapeutics, CPT Pharmacometrics & Systems Pharmacology, Autophagy and Journal of Child and Adolescent Psychopharmacology.
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.