M. Colombo
- Endocrinology top 0.5%
- Food Science top 2%
- Molecular Medicine top 1%
- Immunology top 10%
- Molecular Biology
- Co-authors
- Daniela CeccarelliPiero CappuccinelliMatteo SpagnolettiAntonio GuaitaRoberta VaccaroSilvia VitaliElisa TavianiVincent Burrus
- Topics
- Vibrio bacteria research studies (20 papers)Salmonella and Campylobacter epidemiology (16 papers)Dementia and Cognitive Impairment Research (14 papers)
- Partner nations
- ItalyMozambiqueUnited States
In The Last Decade
M. Colombo
83 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 152
- Endocrinology 601
- Food Science 360
- Molecular Medicine 340
- Immunology 273
- Molecular Biology 203
Countries citing papers authored by M. Colombo
This map shows the geographic impact of M. Colombo'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 M. Colombo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Colombo more than expected).
Fields of papers citing papers by M. Colombo
This network shows the impact of papers produced by M. Colombo. 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 M. Colombo. The network helps show where M. Colombo may publish in the future.
Co-authorship network of co-authors of M. Colombo
This figure shows the co-authorship network connecting the top 25 collaborators of M. Colombo. A scholar is included among the top collaborators of M. Colombo 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 M. Colombo. M. Colombo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 15 | |
| 4 | 2 | |
| 5 | 65 | |
| 6 | 20 | |
| 7 | 12 | |
| 8 | HCVerso2: a phase III study of faldaprevir plus deleobuvir and ribavirin for chronic HCV genotype 1b infection in treatment naïve patients including those ineligible for pegylated interferon | 1 |
| 9 | 29 | |
| 10 | 38 | |
| 11 | 25 | |
| 12 | 35 | |
| 13 | 76 | |
| 14 | 32 | |
| 15 | 6 | |
| 16 | 31 | |
| 17 | 30 | |
| 18 | Differenziazione tra struzzo ed emù mediante Polymerase Chain Reaction. Parte I: PCR su tessuto muscolare di Struthio camelus | 5 |
| 19 | 26 | |
| 20 | 2 |
About M. Colombo
M. Colombo is a scholar working on Endocrinology, Neuropsychology and Physiological Psychology and Molecular Medicine, having authored 91 papers that have together received 1.7k indexed citations. Recurring topics across this work include Vibrio bacteria research studies (20 papers), Salmonella and Campylobacter epidemiology (16 papers) and Dementia and Cognitive Impairment Research (14 papers). The work is most often cited by research in Endocrinology (601 citations), Molecular Medicine (340 citations) and Neuropsychology and Physiological Psychology (31 citations). M. Colombo has collaborated with scholars based in Italy, Mozambique and United States. Frequent co-authors include Daniela Ceccarelli, Piero Cappuccinelli, Matteo Spagnoletti, Antonio Guaita, Roberta Vaccaro, Silvia Vitali, Elisa Taviani, Vincent Burrus, Geneviève Garriss and Rachel A. F. Wozniak. Their work appears in journals such as Journal of Molecular Biology, Molecular and Cellular Biology and Hepatology.
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.