Howard T. Jacobs
Impact in
- Aging top 0.1%
- Genetics, Aging, and Longevity in Model Organisms
- Clinical Biochemistry top 0.05%
- Metabolism and Genetic Disorders
Papers in
- Aging 18
- Genetics, Aging, and Longevity in Model Organisms 18
-
- Metabolism and Genetic Disorders 42
- Co-authors
- Ian HoltJohannes N. SpelbrinkAnja T. RovioNils‐Göran LarssonAnna WredenbergRolf WibomAleksandra TrifunovićPierre Rustin
- Journals
- EMBO Reports (18 papers)Nucleic Acids Research (12 papers)Trends in Genetics (10 papers)Journal of Biological Chemistry (8 papers)Human Molecular Genetics (8 papers)
- Partner nations
- FinlandUnited KingdomUnited States
In The Last Decade
Howard T. Jacobs
197 papers receiving 12.0k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Aging 890
- Clinical Biochemistry 2.8k
- Molecular Biology 9.5k
- Immunology 1.2k
- Biological Psychiatry 134
Countries citing papers authored by Howard T. Jacobs
This map shows the geographic impact of Howard T. Jacobs'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 Howard T. Jacobs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Howard T. Jacobs more than expected).
Fields of papers citing papers by Howard T. Jacobs
This network shows the impact of papers produced by Howard T. Jacobs. 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 Howard T. Jacobs. The network helps show where Howard T. Jacobs may publish in the future.
Co-authors
The 25 scholars most cited alongside Howard T. Jacobs, 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 | 2024 | 4 | |
| 2 | 2023 | 8 | |
| 3 | 2023 | 4 | |
| 4 | Mitochondrial electron transport chain is necessary for NLRP3 inflammasome activation Hit paper breakdown → | 2022 | 216 |
| 5 | 2021 | 8 | |
| 6 | 2020 | 2 | |
| 7 | 2020 | 18 | |
| 8 | 2020 | 4 | |
| 9 | 2019 | 5 | |
| 10 | 2019 | 11 | |
| 11 | 2019 | 21 | |
| 12 | 2019 | 14 | |
| 13 | 2018 | 10 | |
| 14 | 2018 | 36 | |
| 15 | 2013 | 51 | |
| 16 | 2010 | 15 | |
| 17 | 2006 | 31 | |
| 18 | 2004 | 99 | |
| 19 | 1997 | 27 | |
| 20 | 1997 | 42 |
About Howard T. Jacobs
Howard T. Jacobs is a scholar working on Aging, Clinical Biochemistry, Molecular Biology, Physiology and Cellular and Molecular Neuroscience, having authored 200 papers that have together received 12.2k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (130 papers), ATP Synthase and ATPases Research (42 papers), Metabolism and Genetic Disorders (42 papers), RNA and protein synthesis mechanisms (41 papers), RNA modifications and cancer (25 papers), DNA Repair Mechanisms (20 papers), RNA Research and Splicing (19 papers) and Genetics, Aging, and Longevity in Model Organisms (18 papers). The work is most often cited by research in Aging (890 citations), Clinical Biochemistry (2.8k citations), Molecular Biology (9.5k citations), Immunology (1.2k citations) and Biological Psychiatry (134 citations). Howard T. Jacobs has collaborated with scholars based in Finland, United Kingdom and United States. Frequent co-authors include Ian Holt, Johannes N. Spelbrink, Anja T. Rovio, Nils‐Göran Larsson, Anna Wredenberg, Rolf Wibom, Aleksandra Trifunović, Pierre Rustin, Maria Falkenberg and Carl E.G. Bruder. Their work appears in journals such as EMBO Reports, Nucleic Acids Research, Trends in Genetics, Journal of Biological Chemistry and Human Molecular 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.