M. Rieks

565 total citations
9 papers, 453 citations indexed

About

M. Rieks is a scholar working on Pathology and Forensic Medicine, Immunology and Molecular Biology. According to data from OpenAlex, M. Rieks has authored 9 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pathology and Forensic Medicine, 4 papers in Immunology and 2 papers in Molecular Biology. Recurrent topics in M. Rieks's work include Multiple Sclerosis Research Studies (5 papers), Immunotherapy and Immune Responses (2 papers) and Stress Responses and Cortisol (1 paper). M. Rieks is often cited by papers focused on Multiple Sclerosis Research Studies (5 papers), Immunotherapy and Immune Responses (2 papers) and Stress Responses and Cortisol (1 paper). M. Rieks collaborates with scholars based in Germany and United States. M. Rieks's co-authors include Dieter Pöhlau, H. Przuntek, Bettina Tippler, Tatiana Syrovets, Thomas Simmet, Sebastian Schimrigk, Volker Hoffmann, N. Brune, Kerstin Hellwig and Barbara Bellenberg and has published in prestigious journals such as Blood, Psychopharmacology and European Journal of Neurology.

In The Last Decade

M. Rieks

7 papers receiving 437 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. Rieks Germany	7	141	113	102	64	61	9	453
Nikola Živković Serbia	10	136 1.0×	92 0.8×	122 1.2×	58 0.9×	27 0.4×	53	454
Miloš Kostić Serbia	9	161 1.1×	115 1.0×	137 1.3×	44 0.7×	19 0.3×	27	455
Toru Nanmoku Japan	16	102 0.7×	189 1.7×	53 0.5×	70 1.1×	88 1.4×	37	578
C Craviotto Italy	10	236 1.7×	89 0.8×	173 1.7×	70 1.1×	20 0.3×	15	785
Javad Rasouli United States	12	178 1.3×	207 1.8×	254 2.5×	65 1.0×	96 1.6×	16	604
Jan Broder Engler Germany	15	158 1.1×	205 1.8×	298 2.9×	51 0.8×	52 0.9×	24	684
Alexandru Tatomir United States	13	68 0.5×	132 1.2×	162 1.6×	37 0.6×	40 0.7×	29	440
Mathias Granqvist Sweden	8	193 1.4×	100 0.9×	92 0.9×	76 1.2×	11 0.2×	13	503
S. Sallmann Germany	8	35 0.2×	134 1.2×	101 1.0×	25 0.4×	37 0.6×	10	396
Ruchi Upmanyu United Kingdom	10	31 0.2×	139 1.2×	243 2.4×	59 0.9×	24 0.4×	15	835

Countries citing papers authored by M. Rieks

Since Specialization

Citations

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

Fields of papers citing papers by M. Rieks

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Rieks

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Pöhlau, Dieter, M. Rieks, Thomas Postert, Volker Hoffmann, & H. Przuntek. (2008). Kausale Therapie der multiplen Sklerose. DMW - Deutsche Medizinische Wochenschrift. 121(45). 1407–1414.

2.

Rieks, M., et al.. (2007). Proliferation, differentiation, and cytokine secretion of human umbilical cord blood–derived mononuclear cells in vitro. Experimental Hematology. 35(7). 1119–1131. 70 indexed citations

3.

Schimrigk, Sebastian, N. Brune, Kerstin Hellwig, et al.. (2006). Oral fumaric acid esters for the treatment of active multiple sclerosis: an open‐label, baseline‐controlled pilot study. European Journal of Neurology. 13(6). 604–610. 163 indexed citations

4.

Heinz, Andreas, Derik Hermann, Michael N. Smolka, et al.. (2003). Effects of acute psychological stress on adhesion molecules, interleukins and sex hormones: implications for coronary heart disease. Psychopharmacology. 165(2). 111–117. 81 indexed citations

5.

Rieks, M., Volker Hoffmann, Orhan Aktaş, et al.. (2003). Induction of Apoptosis of CD4+ T Cells by Immunomodulatory Therapy of Multiple Sclerosis with Glatiramer Acetate. European Neurology. 50(4). 200–206. 22 indexed citations

6.

Aktaş, Orhan, M. Rieks, Volker Hoffmann, et al.. (2001). Multiple sclerosis: modulation of apoptosis susceptibility by glatiramer acetate. Acta Neurologica Scandinavica. 104(5). 266–270. 10 indexed citations

7.

Poehlau, Dieter, Uta Kiltz, M. Rieks, et al.. (2000). Therapeutic Immunoadsorption Increases the Level of Circulating Soluble HLA Molecules. Vox Sanguinis. 78(2). 119–121.

8.

Poehlau, Dieter, M. Rieks, Thomas Postert, et al.. (1997). Photopheresis—A possible treatment of multiple sclerosis? Report of two cases. Journal of Clinical Apheresis. 12(3). 154–155. 14 indexed citations

9.

Syrovets, Tatiana, Bettina Tippler, M. Rieks, & Thomas Simmet. (1997). Plasmin Is a Potent and Specific Chemoattractant for Human Peripheral Monocytes Acting Via a Cyclic Guanosine Monophosphate–Dependent Pathway. Blood. 89(12). 4574–4583. 93 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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