Luca Clementi
Impact in
- Plant Science top 0.5%
- Plant Molecular Biology Research
- Plant Stress Responses and Tolerance
- Molecular Biology top 1%
- Plant Gene Expression Analysis
- Photosynthetic Processes and Mechanisms
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
Papers in
-
- Distributed and Parallel Computing Systems 5
- Software System Performance and Reliability 1
- Advanced Data Storage Technologies 1
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- Scientific Computing and Data Management 6
- Co-authors
- Fabian A. Buske (1 shared paper)Charles E. Grant (1 shared paper)Junxiao Ren (1 shared paper)William Stafford Noble (1 shared paper)Timothy L. Bailey (1 shared paper)Wen‐Wu Li (1 shared paper)Martin C. Frith (1 shared paper)Mikael Bodén (1 shared paper)
- Journals
- Nucleic Acids Research (2 papers)JuSER (Forschungszentrum Jülich) (1 paper)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Luca Clementi
7 papers receiving 7.7k citations
Luca Clementi's Hit Papers
Peers
Comparison fields: 5 of 130
- Plant Science 3.3k
- Molecular Biology 5.2k
- Horticulture 44
- Aging 71
- Genetics 731
Countries citing papers authored by Luca Clementi
This map shows the geographic impact of Luca Clementi'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 Luca Clementi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca Clementi more than expected).
Fields of papers citing papers by Luca Clementi
This network shows the impact of papers produced by Luca Clementi. 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 Luca Clementi. The network helps show where Luca Clementi may publish in the future.
Co-authors
The 18 scholars most cited alongside Luca Clementi, 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 | MEME SUITE: tools for motif discovery and searching Hit paper breakdown → | 2009 | 7706 |
| 2 | 2010 | 36 | |
| 3 | 2009 | 33 | |
| 4 | Providing Dynamic Virtualized Access to Grid Resources via the Web 2.0 Paradigm | 2007 | 7 |
| 5 | 2008 | 7 | |
| 6 | DEISA and D-Grid: using UNICORE in production Grid infrastructures | 2007 | 3 |
| 7 | 2014 | 1 |
About Luca Clementi
Luca Clementi is a scholar working on Computer Networks and Communications, Information Systems and Management, Information Systems, Molecular Biology and Infectious Diseases, having authored 7 papers that have together received 7.8k indexed citations. Recurring topics across this work include Scientific Computing and Data Management (6 papers), Distributed and Parallel Computing Systems (5 papers), Cloud Computing and Resource Management (3 papers), Genomics and Chromatin Dynamics (1 paper), Software System Performance and Reliability (1 paper), Gene expression and cancer classification (1 paper), Software Engineering Research (1 paper) and Advanced Data Storage Technologies (1 paper). The work is most often cited by research in Plant Science (3.3k citations), Molecular Biology (5.2k citations), Horticulture (44 citations), Aging (71 citations) and Genetics (731 citations). Luca Clementi has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Fabian A. Buske, Charles E. Grant, Junxiao Ren, William Stafford Noble, Timothy L. Bailey, Wen‐Wu Li, Martin C. Frith, Mikael Bodén, Sriram Krishnan and Jie Ren. Their work appears in journals such as Nucleic Acids Research and JuSER (Forschungszentrum Jülich).
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.