Diego Colombo
Impact in
- Organic Chemistry top 5%
- Carbohydrate Chemistry and Synthesis
- Statistics and Probability top 2%
- Advanced Causal Inference Techniques
Papers in
-
- Glycosylation and Glycoproteins Research 26
- Enzyme Catalysis and Immobilization 11
- Natural product bioactivities and synthesis 7
-
- Carbohydrate Chemistry and Synthesis 34
- Co-authors
- Marloes H. Maathuis (6 shared papers)Lucio Toma (44 shared papers)Fiamma Ronchetti (43 shared papers)Markus Kalisch (3 shared papers)Martin Mächler (2 shared papers)Peter Bühlmann (2 shared papers)Antonio Scala (22 shared papers)Patrizia Ferraboschi (18 shared papers)
- Journals
- European Journal of Organic Chemistry (8 papers)European Journal of Medicinal Chemistry (6 papers)Tetrahedron Asymmetry (6 papers)Steroids (6 papers)Tetrahedron (5 papers)
- Partner nations
- ItalyJapanSwitzerland
In The Last Decade
Diego Colombo
113 papers receiving 2.1k citations
Diego Colombo's Hit Papers
Peers
Comparison fields: 5 of 162
- Organic Chemistry 551
- Statistics and Probability 148
- Molecular Biology 1.0k
- Artificial Intelligence 459
- Biochemistry 62
Countries citing papers authored by Diego Colombo
This map shows the geographic impact of Diego 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 Diego Colombo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diego Colombo more than expected).
Fields of papers citing papers by Diego Colombo
This network shows the impact of papers produced by Diego 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 Diego Colombo. The network helps show where Diego Colombo may publish in the future.
Co-authors
The 25 scholars most cited alongside Diego Colombo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Causal Inference Using Graphical Models with theRPackagepcalg Hit paper breakdown → | 2012 | 344 |
| 2 | 2014 | 295 | |
| 3 | 2017 | 90 | |
| 4 | 2013 | 85 | |
| 5 | 2022 | 77 | |
| 6 | 2012 | 51 | |
| 7 | 1998 | 49 | |
| 8 | 1991 | 48 | |
| 9 | 1990 | 44 | |
| 10 | 2018 | 41 | |
| 11 | 2016 | 39 | |
| 12 | 1989 | 38 | |
| 13 | 1996 | 34 | |
| 14 | 2003 | 33 | |
| 15 | 2005 | 30 | |
| 16 | 2002 | 30 | |
| 17 | 2002 | 28 | |
| 18 | 2001 | 28 | |
| 19 | 2022 | 26 | |
| 20 | 1994 | 23 |
About Diego Colombo
Diego Colombo is a scholar working on Molecular Biology, Organic Chemistry, Infectious Diseases, Artificial Intelligence and Genetics, having authored 117 papers that have together received 2.2k indexed citations. Recurring topics across this work include Carbohydrate Chemistry and Synthesis (34 papers), Glycosylation and Glycoproteins Research (26 papers), Enzyme Catalysis and Immobilization (11 papers), Estrogen and related hormone effects (9 papers), Natural product bioactivities and synthesis (7 papers), HIV/AIDS drug development and treatment (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Lipid metabolism and biosynthesis (5 papers). The work is most often cited by research in Organic Chemistry (551 citations), Statistics and Probability (148 citations), Molecular Biology (1.0k citations), Artificial Intelligence (459 citations) and Biochemistry (62 citations). Diego Colombo has collaborated with scholars based in Italy, Japan and Switzerland. Frequent co-authors include Marloes H. Maathuis, Lucio Toma, Fiamma Ronchetti, Markus Kalisch, Martin Mächler, Peter Bühlmann, Antonio Scala, Patrizia Ferraboschi, Paola Perego and Federica Compostella. Their work appears in journals such as European Journal of Organic Chemistry, European Journal of Medicinal Chemistry, Tetrahedron Asymmetry, Steroids and Tetrahedron.
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.