Jeff W. Meeusen

8 papers receiving 359 citations

Hit Papers

A New Equation for Calculation of Low-Density Lipoprotein...20202026202220242020100200300

Peers

Jeff W. Meeusen
Comparison fields: 5 of 63
  • Surgery 268
  • Endocrinology, Diabetes and Metabolism 265
  • Cardiology and Cardiovascular Medicine 96
  • Economics and Econometrics 60
  • Cancer Research 52
Replace Roa Harb with:
Roa Harb United States
Mohmed Ashmaig United States
Camilla Ditlev Lindhardt Johannesen Denmark
Malcolm Kendrick United Kingdom
Ángel Díaz Rodríguez Spain
Abhishek Mewada United States
Chee Jeong Kim South Korea
Richard M. Moe United States
Jane K. Stock France
Daniel Siniawski Argentina
Jeff W. Meeusen relative to Roa Harb United States Roa Harb's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jeff W. Meeusen

Since Specialization
Citations

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

Fields of papers citing papers by Jeff W. Meeusen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeff W. Meeusen. 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 Jeff W. Meeusen. The network helps show where Jeff W. Meeusen may publish in the future.

Co-authorship network of co-authors of Jeff W. Meeusen

This figure shows the co-authorship network connecting the top 25 collaborators of Jeff W. Meeusen. A scholar is included among the top collaborators of Jeff W. Meeusen 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 Jeff W. Meeusen. Jeff W. Meeusen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
#WorkIndexed citations
1 1
2 7
3 2
4 1
5 15
6 14
7 11
8
A New Equation for Calculation of Low-Density Lipoprotein Cholesterol in Patients With Normolipidemia and/or Hypertriglyceridemiabreakdown →
312

About Jeff W. Meeusen

Jeff W. Meeusen is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Nephrology, having authored 8 papers that have together received 363 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Lipoproteins and Cardiovascular Health (6 papers) and Lipid metabolism and disorders (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (265 citations), Surgery (268 citations) and Cardiology and Cardiovascular Medicine (96 citations). Jeff W. Meeusen has collaborated with scholars based in United States and Sri Lanka. Frequent co-authors include Alan T. Remaley, Allan S. Jaffe, Maureen Sampson, James D. Otvos, Marcelo Amar, Qian Sun, Roa Harb, Robert D. Shamburek, Sarah Delaney and Russell Warnick. Their work appears in journals such as Journal of the American Society of Nephrology, American Journal of Neuroradiology and Frontiers in Genetics.

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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