K S Arnold

2.9k citations
32 papers · 2.3k · h-index 22

Impact in

Papers in

    • Lipoproteins and Cardiovascular Health 15
    • Peroxisome Proliferator-Activated Receptors 4
    • RNA regulation and disease 4
    • RNA Research and Splicing 3

K S Arnold

32 papers receiving 2.3k citations

Peers

K S Arnold
Comparison fields: 5 of 101
  • Endocrinology, Diabetes and Metabolism 588
  • Cancer Research 418
  • Surgery 915
  • Molecular Biology 1.0k
  • Clinical Biochemistry 96
Replace Tokuo Yamamoto with:
Tokuo Yamamoto Japan
Brian Y. Ishida United States
S. Wallis United Kingdom
Jaap Twisk Netherlands
John A. A. Ladias United States
Daphne L. Davis United States
Dominica Calvo United States
Gudrun Ihrke United States
Thomas Engel Germany
Antonio E. Rusiñol United States
K S Arnold relative to Tokuo Yamamoto Japan Tokuo Yamamoto's profile →
Citations per field
00.5×
Tokuo Yamamoto · 1×
Citations per year

Countries citing papers authored by K S Arnold

Since Specialization
Citations

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

Fields of papers citing papers by K S Arnold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987381
2 1995241
3 1997191
4 1998184
5 1970154
6 1984143
7 1995109
8 1996101
9 199991
10 199691
11 198679
12 199168
13 198862
14 200060
15 200048
16 198548
17 199940
18 199737
19 199137
20 199130

About K S Arnold

K S Arnold is a scholar working on Surgery, Molecular Biology, Endocrinology, Diabetes and Metabolism, Cancer Research and Genetics, having authored 32 papers that have together received 2.3k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (15 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers), Cancer, Lipids, and Metabolism (7 papers), Peroxisome Proliferator-Activated Receptors (4 papers), RNA regulation and disease (4 papers), Protease and Inhibitor Mechanisms (3 papers), RNA Research and Splicing (3 papers) and Atherosclerosis and Cardiovascular Diseases (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (588 citations), Cancer Research (418 citations), Surgery (915 citations), Molecular Biology (1.0k citations) and Clinical Biochemistry (96 citations). K S Arnold has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include T L Innerarity, Karl H. Weisgraber, Robert W. Mahley, Thomas L. Innerarity, Shinya Yamanaka, Ronald M. Krauss, Gloria Lena Vega, Scott M. Grundy, Joseph Grossfield and William L. Pak. Their work appears in journals such as Journal of Biological Chemistry, Journal of Lipid Research, Proceedings of the National Academy of Sciences, Nature and JNCI Journal of the National Cancer Institute.

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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