Michael D. Collini

742 citations
10 papers · 577 · h-index 8

Impact in

  • Toxicology top 5%
    • Bioactive Compounds and Antitumor Agents
    • Catalytic C–H Functionalization Methods
    • Synthesis and biological activity
    • Catalytic Cross-Coupling Reactions

Papers in

Michael D. Collini

10 papers receiving 536 citations

Peers

Michael D. Collini
Comparison fields: 5 of 69
  • Toxicology 54
  • Organic Chemistry 271
  • Genetics 247
  • Computational Theory and Mathematics 74
  • Pharmacology 49
Replace Charles W. Lugar with:
Charles W. Lugar United States
F. Nique France
Shinobu Honzawa Japan
F. Bouchoux France
Reinhold H. W. Bender United States
Yanyan Hong United States
Helen Y. Chen United States
M. LANG Switzerland
Harvey N. Myers United States
Christiane Scherer Germany
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Citations per field
00.5×1.5×2.4×
Charles W. Lugar · 1×
Citations per year

Countries citing papers authored by Michael D. Collini

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Michael D. Collini Line = papers co-authored together Michael D. Collini links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2004232
2 2001112
3 199760
4 200356
5 200943
6 200437
7 200919
8 199813
9 20014
10 20031

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 577 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (5 papers), Inflammatory mediators and NSAID effects (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Computational Drug Discovery Methods (2 papers), Cholesterol and Lipid Metabolism (2 papers), Sphingolipid Metabolism and Signaling (2 papers), Synthesis and Catalytic Reactions (1 paper) and Bioactive Compounds and Antitumor Agents (1 paper). The work is most often cited by research in Toxicology (54 citations), Organic Chemistry (271 citations), Genetics (247 citations), Computational Theory and Mathematics (74 citations) and Pharmacology (49 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, Eric S. Manas, Zhang B. Xu, Tam Nguyen Dinh, James C. Keith, Michael S. Malamas and Iwan Gunawan. Their work appears in journals such as Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, 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.

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