Sissel Lund‐Katz

12.6k citations
147 papers · 9.7k indexed · h-index 63
Topics
Diabetes, Cardiovascular Risks, and Lipoproteins (60 papers)Cholesterol and Lipid Metabolism (52 papers)Peroxisome Proliferator-Activated Receptors (45 papers)

In The Last Decade

Sissel Lund‐Katz

147 papers receiving 9.5k citations

Peers

Sissel Lund‐Katz
Comparison fields: 5 of 130
  • Molecular Biology 5.1k
  • Surgery 4.7k
  • Endocrinology, Diabetes and Metabolism 3.1k
  • Cancer Research 1.4k
  • Oncology 1.1k
Replace Vassilis I. Zannis with:
Vassilis I. Zannis United States
Yves L. Marcel Canada
Trudy M. Forte United States
Wendy Jessup Australia
W. Sean Davidson United States
J L Goldstein United States
John A. Glomset United States
Joel D. Morrisett United States
Christopher J. Fielding United States
J L Goldstein United States
Sissel Lund‐Katz relative to Vassilis I. Zannis United States Vassilis I. Zannis's profile →
Citations per field
00.5×1.5×
Vassilis I. Zannis · 1×
Citations per year

Countries citing papers authored by Sissel Lund‐Katz

Since Specialization
Citations

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

Fields of papers citing papers by Sissel Lund‐Katz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sissel Lund‐Katz. 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 Sissel Lund‐Katz. The network helps show where Sissel Lund‐Katz may publish in the future.

Co-authorship network of co-authors of Sissel Lund‐Katz

This figure shows the co-authorship network connecting the top 25 collaborators of Sissel Lund‐Katz. A scholar is included among the top collaborators of Sissel Lund‐Katz 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 Sissel Lund‐Katz. Sissel Lund‐Katz 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 2
2 2
3 52
4 23
5 19
6 28
7 21
8 15
9 279
10 82
11 64
12 53
13 70
14 62
15 70
16 66
17 87
18 88
19 49
20 36

About Sissel Lund‐Katz

Sissel Lund‐Katz is a scholar working on Endocrinology, Diabetes and Metabolism, Biochemistry and Cancer Research, having authored 147 papers that have together received 9.7k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (60 papers), Cholesterol and Lipid Metabolism (52 papers) and Peroxisome Proliferator-Activated Receptors (45 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (3.1k citations), Biochemistry (826 citations) and Surgery (4.7k citations). Sissel Lund‐Katz has collaborated with scholars based in United States, Japan and Belgium. Frequent co-authors include Michael C. Phillips, George H. Rothblat, Padmaja Dhanasekaran, Hiroyuki Saito, W. Sean Davidson, David Nguyen, Daniel L. Sparks, Karl H. Weisgraber, Margaret Nickel and G.M. Anantharamaiah. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

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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