Susan M. Meyn

866 citations
21 papers · 676 indexed · h-index 13
Topics
Cholesterol and Lipid Metabolism (5 papers)Research Data Management Practices (4 papers)Scientific Computing and Data Management (4 papers)

In The Last Decade

Susan M. Meyn

21 papers receiving 666 citations

Peers

Susan M. Meyn
Comparison fields: 5 of 86
  • Surgery 335
  • Molecular Biology 269
  • Endocrinology, Diabetes and Metabolism 214
  • Genetics 107
  • Cardiology and Cardiovascular Medicine 98
Replace Xavier Rousset with:
Xavier Rousset France
Boris B. Boyanovsky United States
John C. Shelton United States
S.J. Mao United States
Véronique Sbarra France
Inge E.T. van den Berg Netherlands
Angela Raymond Canada
Lindsay A. Broadfield Canada
Jukka K. Hakala Finland
Theo JC Van Berkel Netherlands
Susan M. Meyn relative to Xavier Rousset France Xavier Rousset's profile →
Citations per field
00.5×4.3×
Xavier Rousset · 1×
Citations per year

Countries citing papers authored by Susan M. Meyn

Since Specialization
Citations

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

Fields of papers citing papers by Susan M. Meyn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Susan M. Meyn. 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 Susan M. Meyn. The network helps show where Susan M. Meyn may publish in the future.

Co-authorship network of co-authors of Susan M. Meyn

This figure shows the co-authorship network connecting the top 25 collaborators of Susan M. Meyn. A scholar is included among the top collaborators of Susan M. Meyn based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Susan M. Meyn. Susan M. Meyn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 2
3 8
4 12
5 15
6 2
7 17
8
Core Administration Session Abstracts
1
9 17
10 13
11 31
12 12
13 93
14 1
15 38
16 59
17 13
18 92
19 116
20 103

About Susan M. Meyn

Susan M. Meyn is a scholar working on Information Systems and Management, Biochemistry and Statistics, Probability and Uncertainty, having authored 21 papers that have together received 676 indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (5 papers), Research Data Management Practices (4 papers) and Scientific Computing and Data Management (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (214 citations), Biochemistry (70 citations) and Surgery (335 citations). Susan M. Meyn has collaborated with scholars based in United States, Netherlands and Puerto Rico. Frequent co-authors include Silvia Santamarina-Fojo, Glenda D. Talley, Boris Vaisman, H. Bryan Brewer, Robert F. Hoyt, Annie M. Bérard, H Bryan Brewer, Catherine L. Parrott, Vikram S. Kashyap and Nobuo Maeda. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and The FASEB Journal.

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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