J J Albers

13.7k citations
122 papers · 12.0k indexed · 4 hit papers · h-index 53

J J Albers

122 papers receiving 11.4k citations

Hit Papers

Lipid lowering and plaque regression. New insights into p...641197820261994201050010001.5k2.0k

Peers

J J Albers
Comparison fields: 5 of 141
  • Endocrinology, Diabetes and Metabolism 5.7k
  • Cancer Research 2.2k
  • Surgery 5.9k
  • Cardiology and Cardiovascular Medicine 2.2k
  • Biochemistry 652
Replace Petar Alaupovic with:
Petar Alaupovic United States
N.E. Miller United Kingdom
Gustav Schonfeld United States
John J. Albers United States
Peter O. Kwiterovich United States
Cesare R. Sirtori Italy
S Eisenberg Israel
M. John Chapman France
Edwin L. Bierman United States
Sander J. Robins United States
J J Albers relative to Petar Alaupovic United States Petar Alaupovic's profile →
Citations per field
00.5×1.5×
Petar Alaupovic · 1×
Citations per year

Countries citing papers authored by J J Albers

Since Specialization
Citations

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

Fields of papers citing papers by J J Albers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J J Albers. 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 J J Albers. The network helps show where J J Albers may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20245
2 201139
3 199913
4 19984
5 199721
6 199652
7 19964
8 19969
9 199520
10 19956
11 199354
12 199334
13 1993201
14 199220
15 1991104
16 199165
17 198824
18 198811
19
The national cooperative gallstone study: Effect of chenodeoxycholic acid on lipoproteins
19811
20 198083

About J J Albers

J J Albers is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research and Surgery, having authored 122 papers that have together received 12.0k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (48 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (44 papers), Cancer, Lipids, and Metabolism (27 papers), Cholesterol and Lipid Metabolism (23 papers), Adipokines, Inflammation, and Metabolic Diseases (9 papers), Lipid metabolism and disorders (9 papers), Glycosylation and Glycoproteins Research (8 papers) and Peroxisome Proliferator-Activated Receptors (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (5.7k citations), Cancer Research (2.2k citations) and Surgery (5.9k citations). J J Albers has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include G. Russell Warnick, Marian C. Cheung, E L Bierman, C H Chen, J L Adolphson, B. Greg Brown, D Sacco, Xiaohui Zhao, Santica M. Marcovina and William R. Hazzard. Their work appears in journals such as Journal of Lipid Research, Clinical Chemistry, Journal of Biological Chemistry, Journal of Clinical Investigation 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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