Michael K. Ameriks

20 papers receiving 699 citations

Michael K. Ameriks's Hit Papers

Skeletal Editing Approach to Bridge-Functionalized Bicyclo[1.1.1]pentanes from Azabicyclo[2.1.1]hexanes 2023 · 111 citations
1110+1+2Years since publication255075100

Peers

Michael K. Ameriks
Comparison fields: 5 of 82
  • Physiology 71
  • Computational Theory and Mathematics 173
  • Organic Chemistry 250
  • Biological Psychiatry 21
  • Cellular and Molecular Neuroscience 96
Replace Gabriella Ortore with:
Gabriella Ortore Italy
Kuiying Xu United States
R. Nathan Daniels United States
Carmen Abate Italy
David K. Dean United Kingdom
Jianqi Li China
Xiaohu Deng United States
Nobuki Nengaki Japan
Peter Lockey United Kingdom
Kenji Furutsuka Japan
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Countries citing papers authored by Michael K. Ameriks

Since Specialization
Citations

This map shows the geographic impact of Michael K. Ameriks'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 K. Ameriks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael K. Ameriks more than expected).

Fields of papers citing papers by Michael K. Ameriks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael K. Ameriks. 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 K. Ameriks. The network helps show where Michael K. Ameriks may publish in the future.

Co-authors

The 25 scholars most cited alongside Michael K. Ameriks, 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 K. Ameriks Line = papers co-authored together Michael K. Ameriks links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Skeletal Editing Approach to Bridge-Functionalized Bicyclo[1.1.1]pentanes from Azabicyclo[2.1.1]hexanes
Hit paper breakdown →
2023111
2 201997
3 202085
4 201674
5 201149
6 201545
7 200938
8 200438
9 201530
10 200923
11 200918
12 201016
13 199716
14 201816
15 201515
16 201813
17 200911
18 20107
19 20206
20 20231

About Michael K. Ameriks

Michael K. Ameriks is a scholar working on Organic Chemistry, Molecular Biology, Cellular and Molecular Neuroscience, Physiology and Cancer Research, having authored 21 papers that have together received 710 indexed citations. Recurring topics across this work include Asymmetric Synthesis and Catalysis (3 papers), Adenosine and Purinergic Signaling (3 papers), Catalytic C–H Functionalization Methods (3 papers), Protease and Inhibitor Mechanisms (3 papers), Synthesis and Catalytic Reactions (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Computational Drug Discovery Methods (2 papers) and Bipolar Disorder and Treatment (2 papers). The work is most often cited by research in Physiology (71 citations), Computational Theory and Mathematics (173 citations), Organic Chemistry (250 citations), Biological Psychiatry (21 citations) and Cellular and Molecular Neuroscience (96 citations). Michael K. Ameriks has collaborated with scholars based in United States, Belgium and Switzerland. Frequent co-authors include Barry M. Trost, Jennifer D. Venable, Scott D. Bembenek, Brian Lord, Nicholas I. Carruthers, S.K. Burley, Rommie E. Amaro, Zied Gaieb, Huanwang Yang and Michael K. Gilson. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, ACS Medicinal Chemistry Letters, Journal of Computer-Aided Molecular Design, European Journal of Pharmacology and Current Topics in Medicinal Chemistry.

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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