Marco Dieckmann

663 total citations
10 papers, 528 citations indexed

About

Marco Dieckmann is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Marco Dieckmann has authored 10 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cell Biology and 3 papers in Physiology. Recurrent topics in Marco Dieckmann's work include Neuroendocrine regulation and behavior (2 papers), Alzheimer's disease research and treatments (2 papers) and Receptor Mechanisms and Signaling (2 papers). Marco Dieckmann is often cited by papers focused on Neuroendocrine regulation and behavior (2 papers), Alzheimer's disease research and treatments (2 papers) and Receptor Mechanisms and Signaling (2 papers). Marco Dieckmann collaborates with scholars based in Germany, United States and France. Marco Dieckmann's co-authors include Joachim Herz, Andreas Niemeier, Hong Y. Choi, Martin Dietrich, Kerstin Schwabe, Florian Freudenberg, Shirling Tsai, John S. Parks, Robert E. Hammer and Li Zhou and has published in prestigious journals such as PLoS ONE, Neuroscience and Journal of Neurochemistry.

In The Last Decade

Marco Dieckmann

10 papers receiving 522 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marco Dieckmann Germany	9	276	103	80	77	60	10	528
Ryutaro Izumi Japan	10	288 1.0×	172 1.7×	63 0.8×	42 0.5×	31 0.5×	14	512
Caralina Marín de Evsikova United States	12	446 1.6×	186 1.8×	49 0.6×	52 0.7×	145 2.4×	18	806
Barbara Munz Germany	14	320 1.2×	141 1.4×	37 0.5×	24 0.3×	51 0.8×	36	608
Lucia Mičutková Slovakia	15	340 1.2×	174 1.7×	70 0.9×	30 0.4×	25 0.4×	29	660
Matthew Thakur United Kingdom	11	273 1.0×	335 3.3×	187 2.3×	104 1.4×	25 0.4×	11	805
Pasquale Buanne Italy	11	242 0.9×	66 0.6×	107 1.3×	66 0.9×	50 0.8×	11	513
William E. Samsa United States	9	206 0.7×	181 1.8×	26 0.3×	49 0.6×	49 0.8×	14	580
Qini Gan United States	13	370 1.3×	154 1.5×	58 0.7×	53 0.7×	134 2.2×	20	713
Raj K. Gopal United States	11	360 1.3×	68 0.7×	352 4.4×	104 1.4×	47 0.8×	15	829
Marine Luka France	12	249 0.9×	42 0.4×	61 0.8×	36 0.5×	42 0.7×	20	502

Countries citing papers authored by Marco Dieckmann

Since Specialization

Citations

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

Fields of papers citing papers by Marco Dieckmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Dieckmann

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

All Works

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10 of 10 papers shown

Xian, Xunde, Marco Dieckmann, Li Zhou, et al.. (2017). LRP1 integrates murine macrophage cholesterol homeostasis and inflammatory responses in atherosclerosis. eLife. 6. 76 indexed citations

Dieckmann, Marco, et al.. (2013). Stx5 is a novel interactor of VLDL-R to affect its intracellular trafficking and processing. Experimental Cell Research. 319(13). 1956–1972. 12 indexed citations

Dieckmann, Marco, Frank Timo Beil, Brigitte Mueller, et al.. (2012). Human apolipoprotein E isoforms differentially affect bone mass and turnover in vivo. Journal of Bone and Mineral Research. 28(2). 236–245. 25 indexed citations

Dieckmann, Marco, Martin Dietrich, & Joachim Herz. (2010). Lipoprotein receptors – an evolutionarily ancient multifunctional receptor family. Biological Chemistry. 391(11). 1341–63. 93 indexed citations

Choi, Hong Y., Marco Dieckmann, Joachim Herz, & Andreas Niemeier. (2009). Lrp4, a Novel Receptor for Dickkopf 1 and Sclerostin, Is Expressed by Osteoblasts and Regulates Bone Growth and Turnover In Vivo. PLoS ONE. 4(11). e7930–e7930. 172 indexed citations

Jäger, Sebastian, Stefanie Leuchtenberger, Anne Marie Martin, et al.. (2009). α‐secretase mediated conversion of the amyloid precursor protein derived membrane stub C99 to C83 limits Aβ generation. Journal of Neurochemistry. 111(6). 1369–1382. 58 indexed citations

Dieckmann, Marco, et al.. (2008). Dopamine in the prefrontal cortex regulates rats behavioral flexibility to changing reward value. Behavioural Brain Research. 198(1). 206–213. 43 indexed citations

Freudenberg, Florian, et al.. (2007). Selective breeding for deficient sensorimotor gating is accompanied by increased perseveration in rats. Neuroscience. 148(3). 612–622. 23 indexed citations

Dieckmann, Marco, et al.. (2007). Disturbed social behavior and motivation in rats selectively bred for deficient sensorimotor gating. Schizophrenia Research. 97(1-3). 250–253. 23 indexed citations

10.

Dieckmann, Marco, et al.. (1988). Diuretics and hypertension in black adults.. PubMed. 148(4). 803–5. 3 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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