Jeff W. Meeusen

637 total citations · 1 hit paper
8 papers, 363 citations indexed

About

Jeff W. Meeusen is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Jeff W. Meeusen has authored 8 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 6 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Jeff W. Meeusen's work include Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Lipoproteins and Cardiovascular Health (6 papers) and Lipid metabolism and disorders (3 papers). Jeff W. Meeusen is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Lipoproteins and Cardiovascular Health (6 papers) and Lipid metabolism and disorders (3 papers). Jeff W. Meeusen collaborates with scholars based in United States and Sri Lanka. Jeff W. Meeusen's co-authors include Alan T. Remaley, Maureen Sampson, Allan S. Jaffe, James D. Otvos, Marcelo Amar, Mohmed Ashmaig, Qian Sun, Russell Warnick, James K. Fleming and Robert D. Shamburek and has published in prestigious journals such as Journal of the American Society of Nephrology, American Journal of Neuroradiology and Frontiers in Genetics.

In The Last Decade

Jeff W. Meeusen

8 papers receiving 359 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A New Equation for Calculation of Low-Density Lipoprotein Cholesterol in Patients With Normolipidemia and/or Hypertriglyceridemia

2020 312 citations Maureen Sampson, Qian Sun et al. JAMA Cardiology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jeff W. Meeusen United States	5	268	265	96	60	52	8	363
Roa Harb United States	3	227 0.8×	225 0.8×	84 0.9×	45 0.8×	42 0.8×	5	319
Mohmed Ashmaig United States	3	231 0.9×	234 0.9×	88 0.9×	45 0.8×	44 0.8×	7	327
Camilla Ditlev Lindhardt Johannesen Denmark	5	288 1.1×	220 0.8×	115 1.2×	61 1.0×	87 1.7×	7	421
Ángel Díaz Rodríguez Spain	11	165 0.6×	145 0.5×	77 0.8×	43 0.7×	27 0.5×	56	343
John T. Monyak United States	11	449 1.7×	246 0.9×	75 0.8×	123 2.0×	59 1.1×	23	652
Chee Jeong Kim South Korea	12	176 0.7×	146 0.6×	124 1.3×	31 0.5×	42 0.8×	49	380
Richard M. Moe United States	5	307 1.1×	181 0.7×	111 1.2×	92 1.5×	57 1.1×	6	447
Daniel Siniawski Argentina	11	140 0.5×	132 0.5×	89 0.9×	22 0.4×	36 0.7×	40	281
Liv Mundal Norway	13	412 1.5×	146 0.6×	123 1.3×	120 2.0×	143 2.8×	26	485
Abhishek Mewada United States	2	414 1.5×	225 0.8×	119 1.2×	128 2.1×	85 1.6×	3	604

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

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8 of 8 papers shown

1.

Mark, Ian T., Waleed Brinjikji, Jeremy K. Cutsforth‐Gregory, et al.. (2024). β-Trace Protein as a Potential Biomarker for CSF-Venous Fistulas. American Journal of Neuroradiology. 46(2). 416–420. 1 indexed citations

2.

Sampson, Maureen, Anna Wolska, Leslie J. Donato, et al.. (2024). An improved method for estimating low LDL-C based on the enhanced Sampson-NIH equation. Lipids in Health and Disease. 23(1). 43–43. 7 indexed citations

3.

Wolska, Anna, et al.. (2024). An equation for estimating low-density lipoprotein-triglyceride content and its use for cardiovascular disease risk stratification. Frontiers in Cardiovascular Medicine. 11. 1452869–1452869. 2 indexed citations

4.

Titan, Silvia, John C. Lieske, Jeff W. Meeusen, Andrew D. Rule, & Sandra M. Herrmann. (2023). Performance of Creatinine and Cystatin C-Based Equations Among Patients with Hematological or Solid Cancers: Real-World Data from a Clinical Cohort. Journal of the American Society of Nephrology. 34(11S). 26–27. 1 indexed citations

5.

Sampson, Maureen, Anna Wolska, James D. Otvos, et al.. (2022). Accuracy and Clinical Impact of Estimating Low-Density Lipoprotein-Cholesterol at High and Low Levels by Different Equations. Biomedicines. 10(12). 3156–3156. 15 indexed citations

6.

Sampson, Maureen, Anna Wolska, Jeff W. Meeusen, et al.. (2022). Identification of Dysbetalipoproteinemia by an Enhanced Sampson-NIH Equation for Very Low-Density Lipoprotein-Cholesterol. Frontiers in Genetics. 13. 935257–935257. 14 indexed citations

7.

Sampson, Maureen, Rami A. Ballout, Daniel Soffer, et al.. (2021). A new phenotypic classification system for dyslipidemias based on the standard lipid panel. Lipids in Health and Disease. 20(1). 170–170. 11 indexed citations

8.

Sampson, Maureen, Qian Sun, Roa Harb, et al.. (2020). A New Equation for Calculation of Low-Density Lipoprotein Cholesterol in Patients With Normolipidemia and/or Hypertriglyceridemia. JAMA Cardiology. 5(5). 540–540. 312 indexed citations breakdown →

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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