J Gräßler

483 total citations
11 papers, 79 citations indexed

About

J Gräßler is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, J Gräßler has authored 11 papers receiving a total of 79 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Surgery and 3 papers in Genetics. Recurrent topics in J Gräßler's work include Receptor Mechanisms and Signaling (3 papers), Stress Responses and Cortisol (2 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers). J Gräßler is often cited by papers focused on Receptor Mechanisms and Signaling (3 papers), Stress Responses and Cortisol (2 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers). J Gräßler collaborates with scholars based in Germany. J Gräßler's co-authors include Ulrich Julius, Viktor R. Drel, Irina G. Obrosova, Steffi Kopprasch, Carsten Wunderlich, K. Richter, Richard Květňanský, S. Bornstein, A.-K. Tausche and Daniela Ježová and has published in prestigious journals such as Journal of Human Hypertension, Experimental and Clinical Endocrinology & Diabetes and Atherosclerosis Supplements.

In The Last Decade

J Gräßler

9 papers receiving 76 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J Gräßler Germany	6	24	18	17	17	15	11	79
Vincenzo Coto Italy	7	19 0.8×	46 2.6×	33 1.9×	6 0.4×	5 0.3×	12	98
Sulaiman Sultan United States	6	17 0.7×	71 3.9×	17 1.0×	11 0.6×	21 1.4×	15	146
H Rudzki Poland	4	10 0.4×	23 1.3×	11 0.6×	26 1.5×	30 2.0×	8	72
Agnes A. Mooslechner Austria	6	21 0.9×	5 0.3×	24 1.4×	33 1.9×	10 0.7×	13	125
Odile Delaroche France	6	12 0.5×	10 0.6×	12 0.7×	4 0.2×	3 0.2×	20	110
Hideo Machimura Japan	5	8 0.3×	6 0.3×	8 0.5×	29 1.7×	11 0.7×	11	52
Rubén Álvarez Spain	5	24 1.0×	70 3.9×	18 1.1×	13 0.8×	27 1.8×	13	154
Giada Bigatti Italy	7	46 1.9×	155 8.6×	26 1.5×	72 4.2×	25 1.7×	10	236
Matthias Gruendling Germany	3	21 0.9×	10 0.6×	9 0.5×	3 0.2×	6 0.4×	5	79

Countries citing papers authored by J Gräßler

Since Specialization

Citations

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

Fields of papers citing papers by J Gräßler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J Gräßler

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

All Works

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11 of 11 papers shown

Gräßler, J, Steffi Kopprasch, Jens Passauer, et al.. (2013). Differential effects of lipoprotein apheresis by lipidfiltration or dextran sulfate adsorption on lipidomic profile. Atherosclerosis Supplements. 14(1). 151–155. 12 indexed citations

Gräßler, J, Matthias Blüher, & Triantafyllos Chavakis. (2013). Adipositas und Inflammation. DMW - Deutsche Medizinische Wochenschrift. 138(5). 172–175. 2 indexed citations

Julius, Ulrich, Viktor R. Drel, J Gräßler, & Irina G. Obrosova. (2008). Nitrosylated Proteins in Monocytes as a new Marker of Oxidative-Nitrosative Stress in Diabetic Subjects with Macroangiopathy. Experimental and Clinical Endocrinology & Diabetes. 117(2). 72–77. 24 indexed citations

Bergmann, Antje, M. Reimann, J Gräßler, et al.. (2008). The A98V Single Nucleotide Polymorphism (SNP) in Hepatic Nuclear Factor 1 α (HNF-1α) is Associated with Insulin Sensitivity and β-Cell Function. Experimental and Clinical Endocrinology & Diabetes. 116(S 01). S50–S55. 6 indexed citations

Kopprasch, Steffi, et al.. (2007). Molekulare Grundlagen der primär-renalen Hyperurikämie. Zeitschrift für Rheumatologie. 66(7). 556–561. 9 indexed citations

Tausche, A.-K., et al.. (2006). Hyperurikämie und Gicht. Der Internist. 47(5). 509–522. 11 indexed citations

Hanefeld, M, et al.. (1999). Hypertriglyceridaemia in mild hypertension: impact on cardiovascular and hormonal reactivity under different stress tests. Journal of Human Hypertension. 13(8). 533–539. 5 indexed citations

Gräßler, J, et al.. (1990). Effect of kallikrein-kinin system activation by factor XII f pretreatment on experimental hemorrhagic shock.. PubMed. 31(1). 13–7. 1 indexed citations

Gräßler, J, et al.. (1990). Hormonal responses to hemorrhage and their relationship to individual hemorrhagic shock susceptibility.. PubMed. 24(1-2). 105–16. 8 indexed citations

10.

Gräßler, J, et al.. (1988). Effect of intravenous enkephalin administration on kallikrein-kinin system in experimental hemorrhagic shock. Evidence for activation of kallikrein-kinin system by naloxone.. PubMed. 10(12). 755–60. 1 indexed citations

11.

Gräßler, J, et al.. (1987). Inhibition of stimulated dopamine release from striatum slices after hemorrhagic shock in the rat. Protective effect of piracetam.. PubMed. 9(8). 489–91.

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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