Marc Colosimo
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
- Endocrine and Autonomic Systems top 10%
- Circadian rhythm and melatonin
Papers in
-
- Biomedical Text Mining and Ontologies 7
- Genomics and Phylogenetic Studies 5
- Bioinformatics and Genomic Networks 2
- Aging 4
- Genetics, Aging, and Longevity in Model Organisms 4
- Co-authors
- Lynette Hirschman (8 shared papers)Alexander Yeh (6 shared papers)Alexander A. Morgan (5 shared papers)Piali Sengupta (3 shared papers)Anne Lanjuin (1 shared paper)Saikat Mukhopadhyay (1 shared paper)Aravinthan D. T. Samuel (1 shared paper)Christopher V. Gabel (1 shared paper)
- Journals
- BMC Bioinformatics (3 papers)Trends in Microbiology (1 paper)Current Biology (1 paper)Genetics (1 paper)Journal of Biomedical Informatics (1 paper)
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
Marc Colosimo
14 papers receiving 569 citations
Peers
Comparison fields: 5 of 72
- Aging 109
- Endocrine and Autonomic Systems 69
- Artificial Intelligence 232
- Molecular Biology 413
- Sensory Systems 12
Countries citing papers authored by Marc Colosimo
This map shows the geographic impact of Marc Colosimo'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 Marc Colosimo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Colosimo more than expected).
Fields of papers citing papers by Marc Colosimo
This network shows the impact of papers produced by Marc Colosimo. 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 Marc Colosimo. The network helps show where Marc Colosimo may publish in the future.
Co-authors
The 20 scholars most cited alongside Marc Colosimo, 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 | 2005 | 142 | |
| 2 | 2005 | 126 | |
| 3 | 2004 | 101 | |
| 4 | 2004 | 76 | |
| 5 | 2005 | 37 | |
| 6 | 2003 | 29 | |
| 7 | 2005 | 28 | |
| 8 | 2003 | 21 | |
| 9 | 2011 | 10 | |
| 10 | 2006 | 10 | |
| 11 | 2009 | 9 | |
| 12 | 2007 | 9 | |
| 13 | 2005 | 4 | |
| 14 | 2001 | 1 |
About Marc Colosimo
Marc Colosimo is a scholar working on Molecular Biology, Aging, Artificial Intelligence, Cellular and Molecular Neuroscience and Renewable Energy, Sustainability and the Environment, having authored 14 papers that have together received 603 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (7 papers), Genomics and Phylogenetic Studies (5 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), Semantic Web and Ontologies (3 papers), Algal biology and biofuel production (2 papers), Neurobiology and Insect Physiology Research (2 papers), Bioinformatics and Genomic Networks (2 papers) and Olfactory and Sensory Function Studies (1 paper). The work is most often cited by research in Aging (109 citations), Endocrine and Autonomic Systems (69 citations), Artificial Intelligence (232 citations), Molecular Biology (413 citations) and Sensory Systems (12 citations). Marc Colosimo has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Lynette Hirschman, Alexander Yeh, Alexander A. Morgan, Piali Sengupta, Anne Lanjuin, Saikat Mukhopadhyay, Aravinthan D. T. Samuel, Christopher V. Gabel, Adam R. Brown and Kyuhyung Kim. Their work appears in journals such as BMC Bioinformatics, Trends in Microbiology, Current Biology, Genetics and Journal of Biomedical Informatics.
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.