Maike Schmitz

870 total citations
7 papers, 400 citations indexed

About

Maike Schmitz is a scholar working on Molecular Biology, Oncology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Maike Schmitz has authored 7 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Maike Schmitz's work include Acute Lymphoblastic Leukemia research (3 papers), Acute Myeloid Leukemia Research (2 papers) and PARP inhibition in cancer therapy (2 papers). Maike Schmitz is often cited by papers focused on Acute Lymphoblastic Leukemia research (3 papers), Acute Myeloid Leukemia Research (2 papers) and PARP inhibition in cancer therapy (2 papers). Maike Schmitz collaborates with scholars based in Germany, Switzerland and Czechia. Maike Schmitz's co-authors include Martin Schrappe, Beat Bornhäuser, Gunnar Cario, Martin Stanulla, Jean‐Pierre Bourquin, Felix Niggli, Laura Bonapace, Beat W. Schäfer, Urs Ziegler and Paulina Mirkowska and has published in prestigious journals such as Journal of Clinical Investigation, Blood and Biochemical Pharmacology.

In The Last Decade

Maike Schmitz

6 papers receiving 398 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maike Schmitz Germany	5	249	116	92	81	71	7	400
Ajoy Kumar Samraj Germany	11	263 1.1×	63 0.5×	51 0.6×	37 0.5×	19 0.3×	12	408
Mengtao Xiao China	3	411 1.7×	113 1.0×	49 0.5×	21 0.3×	82 1.2×	7	573
Man Jiang China	11	308 1.2×	166 1.4×	127 1.4×	41 0.5×	19 0.3×	27	563
Xiufei Chen China	7	433 1.7×	93 0.8×	41 0.4×	25 0.3×	91 1.3×	8	607
Duran Sürün Germany	12	393 1.6×	92 0.8×	51 0.6×	20 0.2×	38 0.5×	25	493
Seemana Bhattacharya United States	11	402 1.6×	56 0.5×	168 1.8×	12 0.1×	72 1.0×	23	483
Jason A. Lehman United States	13	317 1.3×	29 0.3×	135 1.5×	22 0.3×	26 0.4×	18	427
Harry Dedman United States	4	191 0.8×	39 0.3×	64 0.7×	20 0.2×	27 0.4×	7	346
Valérie Palissot Luxembourg	14	398 1.6×	68 0.6×	99 1.1×	16 0.2×	61 0.9×	22	567
Christy M. Gearheart United States	7	194 0.8×	117 1.0×	47 0.5×	16 0.2×	29 0.4×	11	287

Countries citing papers authored by Maike Schmitz

Since Specialization

Citations

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

Fields of papers citing papers by Maike Schmitz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maike Schmitz

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

All Works

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7 of 7 papers shown

1.

Schmitz, Maike, et al.. (2022). Pathogen Resistance Depending on Jacalin-Dirigent Chimeric Proteins Is Common among Poaceae but Absent in the Dicot Arabidopsis as Evidenced by Analysis of Homologous Single-Domain Proteins. Plants. 12(1). 67–67.

2.

Mirkowska, Paulina, Andreas Hofmann, Łukasz Sędek, et al.. (2013). Leukemia surfaceome analysis reveals new disease-associated features. Blood. 121(25). e149–e159. 49 indexed citations

3.

Schmitz, Maike, Petra Breithaupt, Gunnar Cario, et al.. (2011). Xenografts of highly resistant leukemia recapitulate the clonal composition of the leukemogenic compartment. Blood. 118(7). 1854–1864. 58 indexed citations

4.

Weidele, Kathrin, Andrea Kunzmann, Maike Schmitz, Sascha Beneke, & Alexander Bürkle. (2010). Ex vivo supplementation with nicotinic acid enhances cellular poly(ADP-ribosyl)ation and improves cell viability in human peripheral blood mononuclear cells. Biochemical Pharmacology. 80(7). 1103–1112. 24 indexed citations

5.

Bonapace, Laura, Beat Bornhäuser, Maike Schmitz, et al.. (2010). Induction of autophagy-dependent necroptosis is required for childhood acute lymphoblastic leukemia cells to overcome glucocorticoid resistance. Journal of Clinical Investigation. 120(4). 1310–1323. 253 indexed citations

6.

Schmitz, Maike, Paulina Mirkowska, Petra Breithaupt, et al.. (2009). Leukemia-Initiating Cells Are Frequent in Very High Risk Childhood Acute Lymphoblastic Leukemia and Give Rise to Relatively Stable Phenotypes in Immunodeficient Mice.. Blood. 114(22). 86–86. 1 indexed citations

7.

Schmitz, Maike, Dominique Sirena, Isabelle S. Peter, et al.. (2006). Melanoma cultures show different susceptibility towards E1A-, E1B-19 kDa- and fiber-modified replication-competent adenoviruses. Gene Therapy. 13(11). 893–905. 15 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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