Robert S. Kiss

2.9k citations
51 papers · 2.3k indexed · 1 hit paper · h-index 24
Topics
Cholesterol and Lipid Metabolism (19 papers)Lipoproteins and Cardiovascular Health (9 papers)Peroxisome Proliferator-Activated Receptors (9 papers)

In The Last Decade

Robert S. Kiss

50 papers receiving 2.2k citations

Hit Papers

Multiple Rare Alleles Contribute to Low Plasma Levels of ...20042026201120182004250500750

Peers

Robert S. Kiss
Comparison fields: 5 of 110
  • Molecular Biology 985
  • Surgery 852
  • Genetics 507
  • Endocrinology, Diabetes and Metabolism 345
  • Immunology 295
Replace Frank Peelman with:
Frank Peelman Belgium
Bonne M. Thompson United States
Michael J. Rindler United States
Baiba K. Gillard United States
Hans Hansen Denmark
Pomila Singh United States
Galina Polekhina Australia
Yiannis A. Ioannou United States
Jacques Bonnet France
Donald G. Munroe United States
Robert S. Kiss relative to Frank Peelman Belgium Frank Peelman's profile →
Citations per field
00.5×1.5×2.1×
Frank Peelman · 1×
Citations per year

Countries citing papers authored by Robert S. Kiss

Since Specialization
Citations

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

Fields of papers citing papers by Robert S. Kiss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert S. Kiss. 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 Robert S. Kiss. The network helps show where Robert S. Kiss may publish in the future.

Co-authorship network of co-authors of Robert S. Kiss

This figure shows the co-authorship network connecting the top 25 collaborators of Robert S. Kiss. A scholar is included among the top collaborators of Robert S. Kiss 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 Robert S. Kiss. Robert S. Kiss 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 1
2 6
3 4
4 50
5 48
6 17
7 18
8 20
9 59
10 23
11 4
12 40
13 64
14 99
15 42
16 53
17
Multiple Rare Alleles Contribute to Low Plasma Levels of HDL Cholesterolbreakdown →
799
18 12
19 75
20 23

About Robert S. Kiss

Robert S. Kiss is a scholar working on Biochemistry, Endocrinology, Diabetes and Metabolism and Aging, having authored 51 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (19 papers), Lipoproteins and Cardiovascular Health (9 papers) and Peroxisome Proliferator-Activated Receptors (9 papers). The work is most often cited by research in Biochemistry (151 citations), Endocrinology, Diabetes and Metabolism (345 citations) and Surgery (852 citations). Robert S. Kiss has collaborated with scholars based in Canada, United States and Hungary. Frequent co-authors include Yves L. Marcel, Ruth McPherson, Helen H. Hobbs, Alexander Pertsemlidis, Jonathan C. Cohen, Kodi S. Ravichandran, Vivian Franklin, Jovana Marić, Zhong Ma and Paul M.M. Weers. Their work appears in journals such as Science, Journal of Biological Chemistry 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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