Michael K. Sievert

458 citations
13 papers · 385 · h-index 8

Impact in

Papers in

Michael K. Sievert

13 papers receiving 372 citations

Peers

Michael K. Sievert
Comparison fields: 5 of 63
  • Toxicology 139
  • Cellular and Molecular Neuroscience 189
  • Biological Psychiatry 14
  • Clinical Psychology 76
  • Pharmacology 46
Replace Felix P. Mayer with:
Felix P. Mayer Austria
Fumio Ichinose Japan
Farhana Sakloth United States
RB Rothman United States
A R Green United Kingdom
Amy Hauck Newman United States
Marco Niello Austria
Raffaella Arfè Italy
Adam Wojtas Poland
Naomi A. Wyatt Australia
Michael K. Sievert relative to Felix P. Mayer Austria Felix P. Mayer's profile →
Citations per field
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Citations per year

Countries citing papers authored by Michael K. Sievert

Since Specialization
Citations

This map shows the geographic impact of Michael K. Sievert'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. Sievert 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. Sievert more than expected).

Fields of papers citing papers by Michael K. Sievert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 1999168
2 200766
3 200635
4 199727
5 199723
6 200221
7 200614
8 200714
9 20027
10 20174
11 20073
12 20022
13 20031

About Michael K. Sievert

Michael K. Sievert is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Biochemistry, Organic Chemistry and Surgery, having authored 13 papers that have together received 385 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (8 papers), Neuroscience and Neuropharmacology Research (5 papers), Neurotransmitter Receptor Influence on Behavior (5 papers), Amino Acid Enzymes and Metabolism (2 papers), Analytical Chemistry and Sensors (1 paper), Click Chemistry and Applications (1 paper), Diabetes Management and Research (1 paper) and Neurological disorders and treatments (1 paper). The work is most often cited by research in Toxicology (139 citations), Cellular and Molecular Neuroscience (189 citations), Biological Psychiatry (14 citations), Clinical Psychology (76 citations) and Pharmacology (46 citations). Michael K. Sievert has collaborated with scholars based in United States, Iran and Switzerland. Frequent co-authors include Arnold E. Ruoho, Nicholas V. Cozzi, Alexander T. Shulgin, Peyton Jacob, Abdol R. Hajipour, Yuenmu Chen, Lian‐Wang Guo, David S. Thiriot, Hakim Muradov and Nikolai O. Artemyev. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Analytical Biochemistry, Regulatory Toxicology and Pharmacology and Molecular Pharmacology.

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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