J.G. Luz
Impact in
- Geriatrics and Gerontology top 5%
- Sirtuins and Resveratrol in Medicine
- Physiology top 5%
Papers in
-
- Retinoids in leukemia and cellular processes 2
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- T-cell and B-cell Immunology 4
- Immune Cell Function and Interaction 4
- Immunotherapy and Immune Responses 3
- Co-authors
- Ian A. Wilson (8 shared papers)Chi‐Huey Wong (2 shared papers)A. Heine (2 shared papers)M.G. Rudolph (3 shared papers)Grace DeSantis (1 shared paper)Michael L. Mitchell (1 shared paper)Bradley Condon (5 shared papers)Marijane Russell (3 shared papers)
- Journals
- Journal of Medicinal Chemistry (5 papers)Journal of Molecular Biology (3 papers)Biochemistry (2 papers)Journal of Lipid Research (1 paper)The Journal of Immunology (1 paper)
- Partner nations
- United StatesPortugalIreland
In The Last Decade
J.G. Luz
21 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 95
- Geriatrics and Gerontology 111
- Physiology 58
- Aging 21
- Immunology 218
- Organic Chemistry 249
Countries citing papers authored by J.G. Luz
This map shows the geographic impact of J.G. Luz'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 J.G. Luz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.G. Luz more than expected).
Fields of papers citing papers by J.G. Luz
This network shows the impact of papers produced by J.G. Luz. 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 J.G. Luz. The network helps show where J.G. Luz may publish in the future.
Co-authors
The 25 scholars most cited alongside J.G. Luz, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 239 | |
| 2 | 2013 | 173 | |
| 3 | 2002 | 90 | |
| 4 | 2002 | 89 | |
| 5 | 2013 | 68 | |
| 6 | 2015 | 54 | |
| 7 | 2004 | 51 | |
| 8 | 2003 | 43 | |
| 9 | 1994 | 37 | |
| 10 | 2015 | 33 | |
| 11 | 2015 | 33 | |
| 12 | 2021 | 32 | |
| 13 | 1998 | 27 | |
| 14 | 2004 | 25 | |
| 15 | 2014 | 25 | |
| 16 | 2020 | 17 | |
| 17 | 2004 | 14 | |
| 18 | 2020 | 8 | |
| 19 | 2005 | 8 | |
| 20 | 2000 | 7 |
About J.G. Luz
J.G. Luz is a scholar working on Molecular Biology, Immunology, Pharmacology, Oncology and Genetics, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (4 papers), Inflammatory mediators and NSAID effects (3 papers), Immunotherapy and Immune Responses (3 papers), Estrogen and related hormone effects (3 papers), Retinoids in leukemia and cellular processes (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers) and Enzyme Structure and Function (2 papers). The work is most often cited by research in Geriatrics and Gerontology (111 citations), Physiology (58 citations), Aging (21 citations), Immunology (218 citations) and Organic Chemistry (249 citations). J.G. Luz has collaborated with scholars based in United States, Portugal and Ireland. Frequent co-authors include Ian A. Wilson, Chi‐Huey Wong, A. Heine, M.G. Rudolph, Grace DeSantis, Michael L. Mitchell, Bradley Condon, Marijane Russell, Feiyu Zhang and T. Gheyi. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Molecular Biology, Biochemistry, Journal of Lipid Research and The Journal of Immunology.
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.