Timothy Nacarelli
- Molecular Biology top 10%
- Physiology top 5%
- Cancer Research top 10%
- Immunology top 10%
- Oncology top 10%
- Co-authors
- Christian SellRugang ZhangTakeshi FukumotoAndrew V. KossenkovNail FatkhutdinovPingyu LiuClaudio TorresShuai Wu
- Topics
- Telomeres, Telomerase, and Senescence (9 papers)Autophagy in Disease and Therapy (5 papers)Mitochondrial Function and Pathology (4 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaNature Cell Biology
- Partner nations
- United StatesRussiaJapan
In The Last Decade
Timothy Nacarelli
25 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Molecular Biology 917
- Physiology 423
- Cancer Research 285
- Immunology 260
- Oncology 245
Countries citing papers authored by Timothy Nacarelli
This map shows the geographic impact of Timothy Nacarelli'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 Timothy Nacarelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timothy Nacarelli more than expected).
Fields of papers citing papers by Timothy Nacarelli
This network shows the impact of papers produced by Timothy Nacarelli. 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 Timothy Nacarelli. The network helps show where Timothy Nacarelli may publish in the future.
Co-authorship network of co-authors of Timothy Nacarelli
This figure shows the co-authorship network connecting the top 25 collaborators of Timothy Nacarelli. A scholar is included among the top collaborators of Timothy Nacarelli based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Timothy Nacarelli. Timothy Nacarelli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 118 | |
| 2 | 22 | |
| 3 | 146 | |
| 4 | 51 | |
| 5 | 112 | |
| 6 | NAD+ metabolism governs the proinflammatory senescence-associated secretomebreakdown → | 282 |
| 7 | 37 | |
| 8 | 1 | |
| 9 | 19 | |
| 10 | 46 | |
| 11 | 77 | |
| 12 | 52 | |
| 13 | 38 | |
| 14 | 29 | |
| 15 | 115 | |
| 16 | 71 | |
| 17 | 10 | |
| 18 | 96 | |
| 19 | 6 | |
| 20 | The effect of oxidative stress on phagocytosis and apoptosis in the earthworm Eisenia hortensis | 13 |
About Timothy Nacarelli
Timothy Nacarelli is a scholar working on Aging, Geriatrics and Gerontology and Physiology, having authored 25 papers that have together received 1.6k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (9 papers), Autophagy in Disease and Therapy (5 papers) and Mitochondrial Function and Pathology (4 papers). The work is most often cited by research in Aging (123 citations), Geriatrics and Gerontology (126 citations) and Cancer Research (285 citations). Timothy Nacarelli has collaborated with scholars based in United States, Russia and Japan. Frequent co-authors include Christian Sell, Rugang Zhang, Takeshi Fukumoto, Andrew V. Kossenkov, Nail Fatkhutdinov, Pingyu Liu, Claudio Torres, Shuai Wu, Alessandro Bitto and Chad A. Lerner. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Nature Cell 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.