Constance V. Voss

18 papers receiving 720 citations

Peers

Constance V. Voss
Comparison fields: 5 of 56
  • Cardiology and Cardiovascular Medicine 267
  • Endocrinology, Diabetes and Metabolism 167
  • Biochemistry 62
  • Inorganic Chemistry 105
  • Cell Biology 100
Replace W. J. GREENLEE with:
W. J. GREENLEE United States
Ligaya M. Simpkins United States
Alexander Chucholowski Germany
Lauren G. Monovich United States
Sergio De Munari Italy
David R. Magnin United States
Grant Wishart United Kingdom
Wendy L. Corbett United States
Paivi J. Kukkola United States
Kimiyuki Shibuya Japan
Constance V. Voss relative to W. J. GREENLEE United States W. J. GREENLEE's profile →
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W. J. GREENLEE · 1×
Citations per year

Countries citing papers authored by Constance V. Voss

Since Specialization
Citations

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

Fields of papers citing papers by Constance V. Voss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Constance V. Voss. 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 Constance V. Voss. The network helps show where Constance V. Voss may publish in the future.

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2008164
2 2007132
3 201187
4 201152
5 201144
6 201042
7 200742
8 200733
9 201032
10 201225
11 201018
12 201015
13 200714
14 201411
15 20079
16 20169
17 20101
18
[Cholesterol esterification in the serum of hypothyroid rats].
19801

About Constance V. Voss

Constance V. Voss is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Cell Biology and Inorganic Chemistry, having authored 18 papers that have together received 731 indexed citations. Recurring topics across this work include Lipid metabolism and disorders (8 papers), Enzyme Catalysis and Immobilization (7 papers), Caveolin-1 and cellular processes (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Asymmetric Hydrogenation and Catalysis (4 papers), Chemical Synthesis and Analysis (4 papers), Microbial Metabolic Engineering and Bioproduction (3 papers) and Pharmacogenetics and Drug Metabolism (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (267 citations), Endocrinology, Diabetes and Metabolism (167 citations), Biochemistry (62 citations), Inorganic Chemistry (105 citations) and Cell Biology (100 citations). Constance V. Voss has collaborated with scholars based in United States, Austria and Japan. Frequent co-authors include Wolfgang Kroutil, Christian Gruber, André Bensadoun, Loren G. Fong, Stephen G. Young, Anne P. Beigneux, Kurt Faber, Peter Gin, Brandon S.J. Davies and Tanja Knaus. Their work appears in journals such as Journal of Lipid Research, Arteriosclerosis Thrombosis and Vascular Biology, Journal of Biological Chemistry, Applied Microbiology and Biotechnology and Proceedings of the National Academy of Sciences.

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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