D Maruhn

908 total citations
30 papers, 697 citations indexed

About

D Maruhn is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Physiology. According to data from OpenAlex, D Maruhn has authored 30 papers receiving a total of 697 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Endocrinology, Diabetes and Metabolism, 7 papers in Molecular Biology and 6 papers in Physiology. Recurrent topics in D Maruhn's work include Diet, Metabolism, and Disease (6 papers), Amino Acid Enzymes and Metabolism (4 papers) and Enzyme function and inhibition (4 papers). D Maruhn is often cited by papers focused on Diet, Metabolism, and Disease (6 papers), Amino Acid Enzymes and Metabolism (4 papers) and Enzyme function and inhibition (4 papers). D Maruhn collaborates with scholars based in Germany, United States and Spain. D Maruhn's co-authors include K. D. Bock, Mario Werner, Dalibor Paar, H M Siefert, Gabriele Mues, I Fuchs, E. Bomhard, D Förster, W. Ritter and David C. Heilbron and has published in prestigious journals such as Journal of Chromatography A, Clinical Chemistry and Clinica Chimica Acta.

In The Last Decade

D Maruhn

30 papers receiving 660 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D Maruhn Germany 12 201 100 91 90 83 30 697
Mohammad M. Al-Harbi Saudi Arabia 17 192 1.0× 45 0.5× 48 0.5× 155 1.7× 74 0.9× 26 941
K. Vijay Kumar India 17 171 0.9× 45 0.5× 96 1.1× 102 1.1× 51 0.6× 26 915
N A Payne United States 17 264 1.3× 29 0.3× 318 3.5× 121 1.3× 68 0.8× 32 1.2k
Adnan Somay Türkiye 18 244 1.2× 104 1.0× 141 1.5× 159 1.8× 91 1.1× 64 1.3k
Jeffrey S. Day United States 14 157 0.8× 44 0.4× 216 2.4× 91 1.0× 73 0.9× 16 647
J. R. Hoidal United States 7 280 1.4× 349 3.5× 68 0.7× 79 0.9× 29 0.3× 8 1.1k
J Chakraborty United Kingdom 20 186 0.9× 19 0.2× 130 1.4× 169 1.9× 88 1.1× 57 1.0k
Nurettin Aydoĝdu Türkiye 17 187 0.9× 42 0.4× 52 0.6× 59 0.7× 26 0.3× 46 773
Nina Queisser Germany 14 280 1.4× 47 0.5× 68 0.7× 39 0.4× 43 0.5× 22 747
A. Brown United States 8 176 0.9× 81 0.8× 125 1.4× 84 0.9× 41 0.5× 9 729

Countries citing papers authored by D Maruhn

Since Specialization
Citations

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

Fields of papers citing papers by D Maruhn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D Maruhn

This figure shows the co-authorship network connecting the top 25 collaborators of D Maruhn. A scholar is included among the top collaborators of D Maruhn 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 D Maruhn. D Maruhn 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.
Bomhard, E., et al.. (2015). Urinary Enzyme Measurements as Sensitive Indicators of Chronic Cadmium Nephrotoxicity. Contributions to nephrology. 42. 142–147. 1 indexed citations
2.
Algorta, Jaime, Maria Pena, Ainhoa Álvarez Ruiz De Larrínaga, et al.. (2009). Randomized, crossover, single-blind, placebo-controlled, human pharmacology clinical trial with desoxypeganine, a new cholinesterase and selective MAO-A inhibitor: multiple-dose pharmacokinetics.. PubMed. 47(7). 483–90. 5 indexed citations
3.
Algorta, Jaime, et al.. (2008). Phase I clinical trial with desoxypeganine, a new cholinesteraseand selective MAO-A inhibitor: Tolerance and pharmacokinetics studyof escalating single oral doses. Methods and Findings in Experimental and Clinical Pharmacology. 30(2). 141–141. 3 indexed citations
4.
Bomhard, E., D Maruhn, & Matthias Rinke. (1999). Time Course of Chronic Oral Cadmium Nephrotoxicity in Wistar Rats: Excretion of Urinary Enzymes. Drug and Chemical Toxicology. 22(4). 679–703. 8 indexed citations
5.
Bomhard, E., et al.. (1991). Excretion of Urinary Enzymes in Female Sprague-Dawley Rats in Relation to Cellular Compartment, Creatinine Excretion and Diuresis. Clinical Chemistry and Laboratory Medicine (CCLM). 29(12). 775–82. 2 indexed citations
6.
Bomhard, E., et al.. (1990). Determination of urinary glutathione S-transferase and lactate dehydrogenase for differentiation between proximal and distal nephron damage. Archives of Toxicology. 64(4). 269–278. 12 indexed citations
7.
Wensing, Georg, et al.. (1988). The effect of antipyrine and rifampicin on the excretion of renal enzymes in human urine.. PubMed. 29(2). 69–74. 3 indexed citations
8.
Maruhn, D, et al.. (1986). A stable liquid control material for urinary enzyme assays. Clinica Chimica Acta. 160(2). 119–122. 8 indexed citations
9.
Maruhn, D, et al.. (1985). Pharmacokinetics of nimodipine. I. Communication: absorption, concentration in plasma and excretion after single administration of [14C]nimodipine in rat, dog and monkey.. PubMed. 35(12). 1781–6. 14 indexed citations
10.
Maruhn, D, et al.. (1985). Pharmacokinetics of Nimodipine. II. Communication: distribution, elimination and placental transfer in rats following single and multiple doses of [14C]nimodipine.. PubMed. 35(12). 1787–94. 16 indexed citations
11.
Bomhard, E., D Maruhn, & Otto Vogel. (1985). Comparative Investigations on the Effects of Acute Intraperitoneal Cadmium, Chromium, and Mercury Exposure on the Kidney. PubMed. 9(2). 131–136. 5 indexed citations
12.
Bambauer, Rolf, et al.. (1984). [Enzyme determination in the urine for the evaluation of kidney tolerance of the water-soluble roentgen contrast medium iopamidol].. PubMed. 24(9). 442–5. 8 indexed citations
13.
Paar, Dalibor & D Maruhn. (1980). Spectrometric Determination of Urokinase in Urine after Gel Filtration, Using the Chromogenic Substrate S-2444. Clinical Chemistry and Laboratory Medicine (CCLM). 18(9). 557–562. 10 indexed citations
14.
Maruhn, D. (1979). Evaluation of urinary enzyme patterns in patients with kidney diseases and primary benign hypertension.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 135–49. 6 indexed citations
15.
Maruhn, D, et al.. (1977). Diurnal variations of urinary enzyme excretion. Clinica Chimica Acta. 75(3). 427–433. 34 indexed citations
16.
Maruhn, D, I Fuchs, Gabriele Mues, & K. D. Bock. (1976). Normal limits of urinary excretion of eleven enzymes.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 22(10). 1567–74. 49 indexed citations
17.
Maruhn, D. (1976). Rapid colorimetric assay of β-galactosidase and N-acetyl-β-glucosaminidase in human urine. Clinica Chimica Acta. 73(3). 453–461. 283 indexed citations
18.
Meesmann, W., et al.. (1972). [Plasma enzyme activities and morphology of the myocardium following acute experimental coronary occlusion in relation to the spontanous collateral vessels of the heart].. PubMed. 61(1). 1–10. 1 indexed citations
19.
Maruhn, D, et al.. (1971). A simple and reliable method for the determination of oestriol in urine. Clinica Chimica Acta. 31(1). 37–43. 5 indexed citations
20.
Werner, Mario, et al.. (1970). Patterns of urinary enzyme excretion in healthy subjects. Clinica Chimica Acta. 29(3). 437–449. 24 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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