Carsten Otto

1.5k total citations
31 papers, 950 citations indexed

About

Carsten Otto is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Carsten Otto has authored 31 papers receiving a total of 950 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Surgery, 11 papers in Cardiology and Cardiovascular Medicine and 10 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Carsten Otto's work include Lipoproteins and Cardiovascular Health (14 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers) and Blood properties and coagulation (8 papers). Carsten Otto is often cited by papers focused on Lipoproteins and Cardiovascular Health (14 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers) and Blood properties and coagulation (8 papers). Carsten Otto collaborates with scholars based in Germany, Austria and Denmark. Carsten Otto's co-authors include Klaus G. Parhofer, P. Schwändt, H.C. Geiss, Klaus von Bergmann, H.C. Geiss, Werner Richter, Robert J. Frost, Ulrike Beisiegel†, Hartmut Schmidt and Klaus Empen and has published in prestigious journals such as American Journal of Clinical Nutrition, The American Journal of Cardiology and Journal of Clinical Epidemiology.

In The Last Decade

Carsten Otto

30 papers receiving 888 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carsten Otto Germany 18 556 287 143 135 117 31 950
Emil M. deGoma United States 19 667 1.2× 425 1.5× 206 1.4× 365 2.7× 102 0.9× 40 1.4k
Therèse Heinonen Canada 19 691 1.2× 221 0.8× 242 1.7× 334 2.5× 32 0.3× 39 1.2k
Tomáš Štulc Czechia 16 567 1.0× 263 0.9× 258 1.8× 198 1.5× 89 0.8× 58 1.0k
Ping Qing China 20 654 1.2× 283 1.0× 112 0.8× 437 3.2× 111 0.9× 70 1.2k
Michael V. Holmes United Kingdom 16 361 0.6× 255 0.9× 234 1.6× 389 2.9× 77 0.7× 25 1.2k
José W.A. van der Hoorn Netherlands 21 662 1.2× 264 0.9× 357 2.5× 144 1.1× 139 1.2× 27 1.5k
Javier Navarro-Antolı́n Spain 12 402 0.7× 133 0.5× 295 2.1× 303 2.2× 296 2.5× 14 1.1k
Eiichi Geshi Japan 17 220 0.4× 174 0.6× 274 1.9× 383 2.8× 93 0.8× 65 885
Cristina Barale Italy 16 285 0.5× 131 0.5× 139 1.0× 213 1.6× 83 0.7× 33 722
Jianxin Lin United States 19 496 0.9× 207 0.7× 175 1.2× 178 1.3× 167 1.4× 67 1.7k

Countries citing papers authored by Carsten Otto

Since Specialization
Citations

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

Fields of papers citing papers by Carsten Otto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carsten Otto

This figure shows the co-authorship network connecting the top 25 collaborators of Carsten Otto. A scholar is included among the top collaborators of Carsten Otto 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 Carsten Otto. Carsten Otto 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
1.
Brockschmidt, Marc, et al.. (2012). Automated Termination Proofs for Java Bytecode with Cyclic Data. 1 indexed citations
2.
Brockschmidt, Marc, Carsten Otto, & Jürgen Giesl. (2011). Modular Termination Proofs of Recursive Java Bytecode Programs by Term Rewriting. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 10. 155–170. 10 indexed citations
3.
Pusl, Thomas, Uli C. Broedl, Klaus G. Parhofer, & Carsten Otto. (2009). Long-term LDL apheresis does not stably improve hemorheology in hypercholesterolemic patients with coronary artery disease. Clinical Hemorheology and Microcirculation. 41(2). 137–142. 7 indexed citations
4.
Otto, Carsten, et al.. (2007). Effects of two whole blood systems (DALI and Liposorber D) for LDL apheresis on lipids and cardiovascular risk markers in severe hypercholesterolemia. Journal of Clinical Apheresis. 22(6). 301–305. 27 indexed citations
6.
Otto, Bärbel, Rudolf L. Riepl, Carsten Otto, et al.. (2005). µ‐Opiate receptor agonists – a new pharmacological approach to prevent motion sickness?. British Journal of Clinical Pharmacology. 61(1). 27–30. 16 indexed citations
7.
Otto, Carsten, H.C. Geiss, Klaus Empen, & Klaus G. Parhofer. (2004). Long-term reduction of C-reactive protein concentration by regular LDL apheresis. Atherosclerosis. 174(1). 151–156. 34 indexed citations
8.
Otto, Carsten, Peter Kern, Rolf Bambauer, et al.. (2003). Efficacy and Safety of a New Whole‐blood Low‐density Lipoprotein Apheresis System (Liposorber D) in Severe Hypercholesterolemia. Artificial Organs. 27(12). 1116–1122. 53 indexed citations
10.
Empen, Klaus, et al.. (2002). The effects of three different LDL‐apheresis methods on the plasma concentrations of E‐selectin, VCAM‐1, and ICAM‐1. Journal of Clinical Apheresis. 17(1). 38–43. 40 indexed citations
12.
Locatelli, S., Dieter Lütjohann, Hartmut Schmidt, et al.. (2002). Reduction of Plasma 24S-Hydroxycholesterol (Cerebrosterol) Levels Using High-Dosage Simvastatin in Patients With Hypercholesterolemia. Archives of Neurology. 59(2). 213–213. 133 indexed citations
13.
Geiss, H.C., Carsten Otto, P. Schwändt, & Klaus G. Parhofer. (2001). Effect of atorvastatin on low-density lipoprotein subtypes in patients with different forms of hyperlipoproteinemia and control subjects. Metabolism. 50(8). 983–988. 34 indexed citations
14.
Frost, Robert J., Carsten Otto, H.C. Geiss, P. Schwändt, & Klaus G. Parhofer. (2001). Effects of atorvastatin versus fenofibrate on lipoprotein profiles, low-density lipoprotein subfraction distribution, and hemorheologic parameters in type 2 diabetes mellitus with mixed hyperlipoproteinemia. The American Journal of Cardiology. 87(1). 44–48. 110 indexed citations
15.
Otto, Carsten, Michael M. Ritter, Werner Richter, Ralf Minkenberg, & P. Schwändt. (2001). Hemorrheologic abnormalities in defined primary dyslipoproteinemias with both high and low atherosclerotic risks. Metabolism. 50(2). 166–170. 28 indexed citations
17.
Otto, Carsten, H.C. Geiss, Markus G. Donner, Klaus G. Parhofer, & P. Schwändt. (2000). Influence of Atorvastatin Versus Simvastatin on Fibrinogen and Other Hemorheological Parameters in Patients with Severe Hypercholesterolemia Treated with Regular Low‐Density Lipoprotein Immunoadsorption Apheresis. Therapeutic Apheresis. 4(3). 244–248. 6 indexed citations
18.
Schwändt, P., H.C. Geiss, Michael M. Ritter, et al.. (1999). The Prevention Education Program (PEP). A Prospective Study of the Efficacy of Family-Oriented Life Style Modification in the Reduction of Cardiovascular Risk and Disease. Journal of Clinical Epidemiology. 52(8). 791–800. 43 indexed citations
19.
Otto, Carsten, et al.. (1997). Postprandial hemorrheology and apolipoprotein B metabolism in patients with familial hypertriglyceridemia. Metabolism. 46(11). 1299–1304. 9 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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