David Jacoby
Impact in
- Physiology top 5%
- Lysosomal Storage Disorders Research
- Genetics top 10%
- Virus-based gene therapy research
Papers in
- Physiology 11
- Lysosomal Storage Disorders Research 11
- Calcium signaling and nucleotide metabolism 3
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- Viral Infectious Diseases and Gene Expression in Insects 3
- Co-authors
- Angela Schulz (11 shared papers)Temitayo Ajayi (10 shared papers)Peter Slasor (10 shared papers)Alfried Kohlschütter (4 shared papers)Michael B. A. Oldstone (2 shared papers)Paul Gissen (9 shared papers)Emily de los Reyes (9 shared papers)Nicola Specchio (9 shared papers)
- Journals
- Virus Research (3 papers)Molecular Genetics and Metabolism (3 papers)Neuropediatrics (3 papers)Virology (2 papers)Restorative Neurology and Neuroscience (1 paper)
- Partner nations
- United StatesGermanyItaly
In The Last Decade
David Jacoby
26 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 78
- Physiology 363
- Genetics 301
- Infectious Diseases 190
- Physiology 39
- Cell Biology 129
Countries citing papers authored by David Jacoby
This map shows the geographic impact of David Jacoby'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 Jacoby with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Jacoby more than expected).
Fields of papers citing papers by David Jacoby
This network shows the impact of papers produced by David Jacoby. 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 Jacoby. The network helps show where David Jacoby may publish in the future.
Co-authors
The 25 scholars most cited alongside David Jacoby, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 318 | |
| 2 | 1997 | 108 | |
| 3 | 2018 | 93 | |
| 4 | 1987 | 93 | |
| 5 | 1997 | 70 | |
| 6 | 1984 | 68 | |
| 7 | 1983 | 53 | |
| 8 | 1989 | 44 | |
| 9 | 2019 | 39 | |
| 10 | 2018 | 29 | |
| 11 | 1993 | 28 | |
| 12 | 1991 | 26 | |
| 13 | 2000 | 22 | |
| 14 | 2019 | 21 | |
| 15 | 1995 | 13 | |
| 16 | 1992 | 12 | |
| 17 | 2020 | 10 | |
| 18 | 2016 | 9 | |
| 19 | 2019 | 6 | |
| 20 | 2019 | 6 |
About David Jacoby
David Jacoby is a scholar working on Physiology, Molecular Biology, Rheumatology, Genetics and Infectious Diseases, having authored 26 papers that have together received 1.1k indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (11 papers), Glycogen Storage Diseases and Myoclonus (6 papers), Cellular transport and secretion (5 papers), Viral Infections and Vectors (5 papers), Virus-based gene therapy research (5 papers), Calcium signaling and nucleotide metabolism (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers) and Mosquito-borne diseases and control (3 papers). The work is most often cited by research in Physiology (363 citations), Genetics (301 citations), Infectious Diseases (190 citations), Physiology (39 citations) and Cell Biology (129 citations). David Jacoby has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Angela Schulz, Temitayo Ajayi, Peter Slasor, Alfried Kohlschütter, Michael B. A. Oldstone, Paul Gissen, Emily de los Reyes, Nicola Specchio, Heather Cahan and Jonathan P. Dyke. Their work appears in journals such as Virus Research, Molecular Genetics and Metabolism, Neuropediatrics, Virology and Restorative Neurology and Neuroscience.
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.