Julia S. Jacobs
Impact in
- Geriatrics and Gerontology top 5%
- Sirtuins and Resveratrol in Medicine
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Ubiquitin and proteasome pathways 2
- Heme Oxygenase-1 and Carbon Monoxide 2
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- MicroRNA in disease regulation 5
- Cancer-related molecular mechanisms research 2
- Co-authors
- Ajit Vikram (14 shared papers)Kaikobad Irani (14 shared papers)Young‐Rae Kim (13 shared papers)Santosh Kumar (9 shared papers)Qiuxia Li (11 shared papers)Modar Kassan (9 shared papers)Mohanad Gabani (7 shared papers)Vikas Kumar (1 shared paper)
- Journals
- Scientific Reports (3 papers)Biochemical and Biophysical Research Communications (2 papers)American Journal of Physiology-Heart and Circulatory Physiology (1 paper)Nature Communications (1 paper)Arteriosclerosis Thrombosis and Vascular Biology (1 paper)
- Partner nations
- United StatesSouth Korea
In The Last Decade
Julia S. Jacobs
15 papers receiving 428 citations
Peers
Comparison fields: 5 of 64
- Geriatrics and Gerontology 65
- Cancer Research 128
- Physiology 97
- Molecular Biology 235
- Biochemistry 18
Countries citing papers authored by Julia S. Jacobs
This map shows the geographic impact of Julia S. 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 Julia S. Jacobs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia S. Jacobs more than expected).
Fields of papers citing papers by Julia S. Jacobs
This network shows the impact of papers produced by Julia S. 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 Julia S. Jacobs. The network helps show where Julia S. Jacobs may publish in the future.
Co-authors
The 25 scholars most cited alongside Julia S. 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 | 2016 | 101 | |
| 2 | 2017 | 99 | |
| 3 | 2016 | 72 | |
| 4 | 2017 | 40 | |
| 5 | 2017 | 26 | |
| 6 | 2019 | 16 | |
| 7 | 2014 | 15 | |
| 8 | 2019 | 14 | |
| 9 | 2022 | 13 | |
| 10 | 2022 | 12 | |
| 11 | 2020 | 12 | |
| 12 | 2020 | 9 | |
| 13 | 2023 | 4 | |
| 14 | 2016 | 2 | |
| 15 | 2017 | 1 |
About Julia S. Jacobs
Julia S. Jacobs is a scholar working on Molecular Biology, Cancer Research, Pharmacology, Surgery and Geriatrics and Gerontology, having authored 15 papers that have together received 436 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Apelin-related biomedical research (3 papers), Sirtuins and Resveratrol in Medicine (2 papers), Adipose Tissue and Metabolism (2 papers), Ubiquitin and proteasome pathways (2 papers), Heme Oxygenase-1 and Carbon Monoxide (2 papers), Cancer-related molecular mechanisms research (2 papers) and Cardiac Ischemia and Reperfusion (1 paper). The work is most often cited by research in Geriatrics and Gerontology (65 citations), Cancer Research (128 citations), Physiology (97 citations), Molecular Biology (235 citations) and Biochemistry (18 citations). Julia S. Jacobs has collaborated with scholars based in United States and South Korea. Frequent co-authors include Ajit Vikram, Kaikobad Irani, Young‐Rae Kim, Santosh Kumar, Qiuxia Li, Modar Kassan, Mohanad Gabani, Vikas Kumar, Asma Naqvi and Ajay Kumar. Their work appears in journals such as Scientific Reports, Biochemical and Biophysical Research Communications, American Journal of Physiology-Heart and Circulatory Physiology, Nature Communications and Arteriosclerosis Thrombosis and Vascular Biology.
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.