K. Arnold

658 total citations
8 papers, 558 citations indexed

About

K. Arnold is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Cell Biology. According to data from OpenAlex, K. Arnold has authored 8 papers receiving a total of 558 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Endocrinology, Diabetes and Metabolism and 2 papers in Cell Biology. Recurrent topics in K. Arnold's work include Metabolomics and Mass Spectrometry Studies (2 papers), Lipid Membrane Structure and Behavior (2 papers) and Proteoglycans and glycosaminoglycans research (2 papers). K. Arnold is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (2 papers), Lipid Membrane Structure and Behavior (2 papers) and Proteoglycans and glycosaminoglycans research (2 papers). K. Arnold collaborates with scholars based in Germany and United States. K. Arnold's co-authors include Jürgen Schiller, Robert E. Pitas, T L Innerarity, Robert W. Mahley, Jürgen Arnhold, Daniel Huster, H.‐J. Glander, Klaus Gawrisch, Sabine Reichl and Marijana Petković and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Free Radical Biology and Medicine and Biophysical Journal.

In The Last Decade

K. Arnold

8 papers receiving 536 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K. Arnold Germany 8 307 112 106 89 77 8 558
Henri Kercret France 11 318 1.0× 98 0.9× 22 0.2× 140 1.6× 42 0.5× 22 590
Itzhak Yuli Israel 12 377 1.2× 45 0.4× 53 0.5× 27 0.3× 21 0.3× 17 687
Jean-François Tournier France 11 320 1.0× 63 0.6× 18 0.2× 46 0.5× 56 0.7× 12 437
János Seprődi Hungary 16 378 1.2× 31 0.3× 40 0.4× 66 0.7× 22 0.3× 45 705
Norman C. Dulak United States 9 587 1.9× 100 0.9× 51 0.5× 129 1.4× 81 1.1× 10 864
Paavo K.J. Kinnunen Finland 18 505 1.6× 204 1.8× 30 0.3× 221 2.5× 101 1.3× 26 1.0k
Floriana Vinci Italy 14 642 2.1× 29 0.3× 95 0.9× 32 0.4× 86 1.1× 20 1.0k
Takayuki Kitagawa Japan 19 669 2.2× 86 0.8× 47 0.4× 21 0.2× 148 1.9× 35 900
Guoping Li China 10 263 0.9× 59 0.5× 126 1.2× 21 0.2× 54 0.7× 24 526
Jie Wen China 13 339 1.1× 21 0.2× 22 0.2× 25 0.3× 39 0.5× 30 665

Countries citing papers authored by K. Arnold

Since Specialization
Citations

This map shows the geographic impact of K. 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. 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. Arnold more than expected).

Fields of papers citing papers by K. Arnold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Arnold

This figure shows the co-authorship network connecting the top 25 collaborators of K. Arnold. A scholar is included among the top collaborators of K. Arnold 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 K. Arnold. K. Arnold is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Schiller, Jürgen, Rosmarie Süß, Marijana Petković, et al.. (2001). CsCl as an auxiliary reagent for the analysis of phosphatidylcholine mixtures by matrix-assisted laser desorption and ionization time-of-flight mass spectrometry (MALDI-TOF MS). Chemistry and Physics of Lipids. 113(1-2). 123–131. 47 indexed citations
2.
Schiller, Jürgen, et al.. (2000). Cartilage degradation by stimulated human neutrophils: reactive oxygen species decrease markedly the activity of proteolytic enzymes. Chemistry & Biology. 7(8). 557–568. 34 indexed citations
3.
Reichl, Sabine, et al.. (2000). Reactions of pholasin with peroxidases and hypochlorous acid. Free Radical Biology and Medicine. 28(10). 1555–1563. 24 indexed citations
4.
Huster, Daniel, K. Arnold, & Klaus Gawrisch. (2000). Strength of Ca2+ Binding to Retinal Lipid Membranes: Consequences for Lipid Organization. Biophysical Journal. 78(6). 3011–3018. 81 indexed citations
5.
Schiller, Jürgen, Jürgen Arnhold, H.‐J. Glander, & K. Arnold. (2000). Lipid analysis of human spermatozoa and seminal plasma by MALDI-TOF mass spectrometry and NMR spectroscopy — effects of freezing and thawing. Chemistry and Physics of Lipids. 106(2). 145–156. 133 indexed citations
6.
Kaufmann, Jörn, et al.. (1999). Molecular dynamics of a tetrasaccharide subunit of chondroitin 4-sulfate in water. Carbohydrate Research. 318(1-4). 1–9. 18 indexed citations
7.
Huster, Daniel & K. Arnold. (1998). Ca2+-Mediated Interaction between Dextran Sulfate and Dimyristoyl-sn-Glycero-3-Phosphocholine Surfaces Studied by 2H Nuclear Magnetic Resonance. Biophysical Journal. 75(2). 909–916. 35 indexed citations
8.
Pitas, Robert E., T L Innerarity, K. Arnold, & Robert W. Mahley. (1979). Rate and equilibrium constants for binding of apo-E HDL c (a cholesterol-induced lipoprotein) and low density lipoproteins to human fibroblasts: Evidence for multiple receptor binding of apo-E HDL c. Proceedings of the National Academy of Sciences. 76(5). 2311–2315. 186 indexed citations

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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