Maria C. de Beer

3.1k citations
41 papers · 2.2k indexed · h-index 28
Topics
Cholesterol and Lipid Metabolism (14 papers)Pancreatitis Pathology and Treatment (13 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (12 papers)

In The Last Decade

Maria C. de Beer

41 papers receiving 2.2k citations

Peers

Maria C. de Beer
Comparison fields: 5 of 105
  • Surgery 1.1k
  • Molecular Biology 1.0k
  • Endocrinology, Diabetes and Metabolism 525
  • Immunology 407
  • Epidemiology 390
Replace Danhong Lu with:
Danhong Lu United States
Maaike Kockx Australia
Chongren Tang United States
Steven J. Adelman United States
Anny Mulya United States
Laurent O. Martinez France
Seongah Han United States
Wilma L. Suarez‐Pinzon Canada
Motoyoshi Endo Japan
Stéphanie Bonnafous France
Maria C. de Beer relative to Danhong Lu United States Danhong Lu's profile →
Citations per field
00.5×1.5×
Danhong Lu · 1×
Citations per year

Countries citing papers authored by Maria C. de Beer

Since Specialization
Citations

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

Fields of papers citing papers by Maria C. de Beer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria C. de Beer. 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 Maria C. de Beer. The network helps show where Maria C. de Beer may publish in the future.

Co-authorship network of co-authors of Maria C. de Beer

This figure shows the co-authorship network connecting the top 25 collaborators of Maria C. de Beer. A scholar is included among the top collaborators of Maria C. de Beer 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 Maria C. de Beer. Maria C. de Beer 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 11
2 59
3 66
4 44
5 18
6 26
7 42
8 67
9 54
10 33
11 13
12 26
13 23
14 16
15 37
16 60
17 62
18 67
19 25
20 25

About Maria C. de Beer

Maria C. de Beer is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Biological Psychiatry, having authored 41 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (14 papers), Pancreatitis Pathology and Treatment (13 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (12 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (525 citations), Surgery (1.1k citations) and Clinical Biochemistry (144 citations). Maria C. de Beer has collaborated with scholars based in United States, Netherlands and Brazil. Frequent co-authors include Frederick C. de Beer, Deneys R. van der Westhuyzen, Nancy R. Webb, Lei Cai, Ailing Ji, Preetha Shridas, Joanne M. Wroblewski, Willem J.S. de Villiers, Victoria P. Noffsinger and Lisa R. Tannock. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Journal of Clinical Investigation.

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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