Giulia De Conti
Impact in
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- Heart Rate Variability and Autonomic Control
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
Papers in
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- Advanced biosensing and bioanalysis techniques 3
- DNA Repair Mechanisms 2
- Genomics and Chromatin Dynamics 2
- CRISPR and Genetic Engineering 2
- Ubiquitin and proteasome pathways 1
- Protein Degradation and Inhibitors 1
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- Acute Myeloid Leukemia Research 3
- Co-authors
- Nikos Makris (1 shared paper)Riccardo Barbieri (1 shared paper)Rupali P. Dhond (1 shared paper)Emery N. Brown (1 shared paper)Vitaly Napadow (1 shared paper)René Bernards (6 shared papers)Matheus Henrique Dias (1 shared paper)Ziva Pogacar (5 shared papers)
- Journals
- Cancers (2 papers)Diagnostic Microbiology and Infectious Disease (1 paper)Cell Reports (1 paper)PLoS ONE (1 paper)Life Science Alliance (1 paper)
- Partner nations
- NetherlandsItalyUnited States
In The Last Decade
Giulia De Conti
12 papers receiving 606 citations
Peers
Comparison fields: 5 of 86
- Cardiology and Cardiovascular Medicine 145
- Cognitive Neuroscience 130
- Behavioral Neuroscience 19
- Aging 9
- Physiology 113
Countries citing papers authored by Giulia De Conti
This map shows the geographic impact of Giulia De Conti'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 Giulia De Conti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giulia De Conti more than expected).
Fields of papers citing papers by Giulia De Conti
This network shows the impact of papers produced by Giulia De Conti. 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 Giulia De Conti. The network helps show where Giulia De Conti may publish in the future.
Co-authors
The 25 scholars most cited alongside Giulia De Conti, 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 | 2008 | 280 | |
| 2 | 2021 | 129 | |
| 3 | 2019 | 72 | |
| 4 | 2021 | 65 | |
| 5 | 2014 | 24 | |
| 6 | 2022 | 12 | |
| 7 | 2021 | 10 | |
| 8 | 2022 | 8 | |
| 9 | 2021 | 6 | |
| 10 | 2020 | 4 | |
| 11 | 2025 | 1 | |
| 12 | 2022 | 1 |
About Giulia De Conti
Giulia De Conti is a scholar working on Molecular Biology, Hematology, Physiology, Infectious Diseases and Genetics, having authored 12 papers that have together received 612 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), DNA Repair Mechanisms (2 papers), Telomeres, Telomerase, and Senescence (2 papers), Genomics and Chromatin Dynamics (2 papers), CRISPR and Genetic Engineering (2 papers), Ubiquitin and proteasome pathways (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (145 citations), Cognitive Neuroscience (130 citations), Behavioral Neuroscience (19 citations), Aging (9 citations) and Physiology (113 citations). Giulia De Conti has collaborated with scholars based in Netherlands, Italy and United States. Frequent co-authors include Nikos Makris, Riccardo Barbieri, Rupali P. Dhond, Emery N. Brown, Vitaly Napadow, René Bernards, Matheus Henrique Dias, Ziva Pogacar, Roderick L. Beijersbergen and Rodrigo Leite de Oliveira. Their work appears in journals such as Cancers, Diagnostic Microbiology and Infectious Disease, Cell Reports, PLoS ONE and Life Science Alliance.
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.