Michael D. Collini
Impact in
- Toxicology top 5%
- Bioactive Compounds and Antitumor Agents
- Genetics top 10%
- Estrogen and related hormone effects
Papers in
-
- Sphingolipid Metabolism and Signaling 2
- Steroid Chemistry and Biochemistry 1
- Genetics 5
- Estrogen and related hormone effects 5
- Co-authors
- Chris P. Miller (6 shared papers)Heather A. Harris (5 shared papers)Ruth A. Henderson (3 shared papers)John W. Ellingboe (2 shared papers)Zhang B. Xu (2 shared papers)Eric S. Manas (2 shared papers)Iwan Gunawan (1 shared paper)Tam Nguyen Dinh (1 shared paper)
- Journals
- Bioorganic & Medicinal Chemistry Letters (3 papers)Journal of Medicinal Chemistry (3 papers)Tetrahedron Letters (2 papers)Bioorganic & Medicinal Chemistry (1 paper)ChemInform (1 paper)
- Partner nations
- CanadaUnited States
In The Last Decade
Michael D. Collini
10 papers receiving 530 citations
Peers
Comparison fields: 5 of 70
- Toxicology 55
- Genetics 261
- Organic Chemistry 267
- Computational Theory and Mathematics 78
- Oncology 85
Countries citing papers authored by Michael D. Collini
This map shows the geographic impact of Michael D. Collini'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 Michael D. Collini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael D. Collini more than expected).
Fields of papers citing papers by Michael D. Collini
This network shows the impact of papers produced by Michael D. Collini. 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 Michael D. Collini. The network helps show where Michael D. Collini may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael D. Collini, 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 | 2004 | 229 | |
| 2 | 2001 | 111 | |
| 3 | 1997 | 60 | |
| 4 | 2003 | 55 | |
| 5 | 2009 | 43 | |
| 6 | 2004 | 36 | |
| 7 | 2009 | 19 | |
| 8 | 1998 | 13 | |
| 9 | 2001 | 4 | |
| 10 | 2003 | 1 |
About Michael D. Collini
Michael D. Collini is a scholar working on Molecular Biology, Genetics, Organic Chemistry, Pharmacology and Surgery, having authored 10 papers that have together received 571 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (5 papers), Sphingolipid Metabolism and Signaling (2 papers), Computational Drug Discovery Methods (2 papers), Cholesterol and Lipid Metabolism (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Inflammatory mediators and NSAID effects (2 papers), Steroid Chemistry and Biochemistry (1 paper) and Reproductive System and Pregnancy (1 paper). The work is most often cited by research in Toxicology (55 citations), Genetics (261 citations), Organic Chemistry (267 citations), Computational Theory and Mathematics (78 citations) and Oncology (85 citations). Michael D. Collini has collaborated with scholars based in Canada and United States. Frequent co-authors include Chris P. Miller, Heather A. Harris, Ruth A. Henderson, John W. Ellingboe, Zhang B. Xu, Eric S. Manas, Iwan Gunawan, Tam Nguyen Dinh, Michael S. Malamas and Robert McDevitt. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, Tetrahedron Letters, Bioorganic & Medicinal Chemistry and ChemInform.
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.