Michael Gebert

2.2k total citations
24 papers, 1.5k citations indexed

About

Michael Gebert is a scholar working on Molecular Biology, Plant Science and Clinical Biochemistry. According to data from OpenAlex, Michael Gebert has authored 24 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Plant Science and 5 papers in Clinical Biochemistry. Recurrent topics in Michael Gebert's work include Mitochondrial Function and Pathology (10 papers), ATP Synthase and ATPases Research (8 papers) and Plant Molecular Biology Research (6 papers). Michael Gebert is often cited by papers focused on Mitochondrial Function and Pathology (10 papers), ATP Synthase and ATPases Research (8 papers) and Plant Molecular Biology Research (6 papers). Michael Gebert collaborates with scholars based in Germany, United States and France. Michael Gebert's co-authors include Martin van der Laan, Nikolaus Pfanner, Volker Knoop, Karolin Eifler, Nils Wiedemann, Pieter Bas Kwak, Silke Oeljeklaus, Bettina Warscheid, Charles J. Weitz and Alfred Tamayo and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and The Journal of Cell Biology.

In The Last Decade

Michael Gebert

24 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Gebert Germany 18 941 537 195 173 166 24 1.5k
Alaattin Kaya United States 20 882 0.9× 198 0.4× 29 0.1× 54 0.3× 212 1.3× 37 1.4k
M. Hirai Japan 18 639 0.7× 1.0k 1.9× 190 1.0× 25 0.1× 57 0.3× 41 1.8k
Steven Zuryn Australia 17 756 0.8× 252 0.5× 76 0.4× 45 0.3× 22 0.1× 29 1.2k
Ines Witte Germany 12 291 0.3× 190 0.4× 506 2.6× 22 0.1× 59 0.4× 14 898
Gino Heeren Austria 14 885 0.9× 145 0.3× 37 0.2× 33 0.2× 29 0.2× 17 1.2k
Jyotiska Chaudhuri United States 8 176 0.2× 79 0.1× 260 1.3× 49 0.3× 31 0.2× 10 707
Anna Maria Ragnelli Italy 14 241 0.3× 149 0.3× 33 0.2× 29 0.2× 58 0.3× 36 774
Gillian A. Nimmo United Kingdom 18 1.1k 1.1× 784 1.5× 32 0.2× 56 0.3× 24 0.1× 23 1.5k
Atanu Duttaroy United States 18 610 0.6× 110 0.2× 20 0.1× 30 0.2× 45 0.3× 30 1.1k
Olle Danielsson Sweden 18 473 0.5× 45 0.1× 46 0.2× 154 0.9× 123 0.7× 30 956

Countries citing papers authored by Michael Gebert

Since Specialization
Citations

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

Fields of papers citing papers by Michael Gebert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Gebert

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Gebert. A scholar is included among the top collaborators of Michael Gebert 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 Michael Gebert. Michael Gebert 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.
Zeng, Jian, Xin’Ai Zhao, Zhe Liang, et al.. (2023). Nitric oxide controls shoot meristem activity via regulation of DNA methylation. Nature Communications. 14(1). 8001–8001. 17 indexed citations
2.
Wallner, Eva‐Sophie, Dongbo Shi, Friederike Wanke, et al.. (2023). OBERON3 and SUPPRESSOR OF MAX2 1-LIKE proteins form a regulatory module driving phloem development. Nature Communications. 14(1). 2128–2128. 9 indexed citations
3.
Priesnitz, Chantal, Lena Böttinger, Nicole Zufall, et al.. (2022). Coupling to Pam16 differentially controls the dual role of Pam18 in protein import and respiratory chain formation. Cell Reports. 39(1). 110619–110619. 10 indexed citations
4.
Sloan, Jeremy, Michael Gebert, Olga Ermakova, et al.. (2020). Structural basis for the complex DNA binding behavior of the plant stem cell regulator WUSCHEL. Nature Communications. 11(1). 2223–2223. 32 indexed citations
5.
Hulko, Michael, et al.. (2019). Pyrogen retention: Comparison of the novel medium cut-off (MCO) membrane with other dialyser membranes. Scientific Reports. 9(1). 6791–6791. 18 indexed citations
6.
Gebert, Michael, Ulrike Haug, Michael Hulko, et al.. (2019). Retention of beneficial molecules and coagulation factors during haemodialysis and haemodiafiltration. Scientific Reports. 9(1). 6370–6370. 15 indexed citations
7.
Brackmann, Klaus, Jiyan Qi, Michael Gebert, et al.. (2018). Spatial specificity of auxin responses coordinates wood formation. Nature Communications. 9(1). 875–875. 119 indexed citations
8.
Schürholz, Ann-Kathrin, Vadir Lopéz-Salmerón, Joachim Forner, et al.. (2018). A Comprehensive Toolkit for Inducible, Cell Type-Specific Gene Expression in Arabidopsis. PLANT PHYSIOLOGY. 178(1). 40–53. 65 indexed citations
9.
Aryal, Rajindra P., Pieter Bas Kwak, Alfred Tamayo, et al.. (2017). Macromolecular Assemblies of the Mammalian Circadian Clock. Molecular Cell. 67(5). 770–782.e6. 179 indexed citations
10.
Morgenstern, Marcel, Sebastian B. Stiller, Christian D. Peikert, et al.. (2017). Definition of a High-Confidence Mitochondrial Proteome at Quantitative Scale. Cell Reports. 19(13). 2836–2852. 312 indexed citations
11.
Ieva, Raffaele, Sandra G. Schrempp, Łukasz Opaliński, et al.. (2014). Mgr2 Functions as Lateral Gatekeeper for Preprotein Sorting in the Mitochondrial Inner Membrane. Molecular Cell. 56(5). 641–652. 74 indexed citations
12.
Kim, Jin Young, Pieter Bas Kwak, Michael Gebert, Hao A. Duong, & Charles J. Weitz. (2014). Purification and Analysis of PERIOD Protein Complexes of the Mammalian Circadian Clock. Methods in enzymology on CD-ROM/Methods in enzymology. 551. 197–210. 15 indexed citations
13.
14.
Ieva, Raffaele, Michael Gebert, F.‐Nora Vögtle, et al.. (2013). Mitochondrial inner membrane protease promotes assembly of presequence translocase by removing a carboxy-terminal targeting sequence. Nature Communications. 4(1). 2853–2853. 44 indexed citations
15.
Gebert, Michael, Sandra G. Schrempp, Silke Oeljeklaus, et al.. (2012). Mgr2 promotes coupling of the mitochondrial presequence translocase to partner complexes. The Journal of Cell Biology. 197(5). 595–604. 75 indexed citations
16.
Kulawiak, Bogusz, et al.. (2012). The mitochondrial protein import machinery has multiple connections to the respiratory chain. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 1827(5). 612–626. 61 indexed citations
17.
Schrempp, Sandra G., Michael Gebert, Raffaele Ieva, et al.. (2012). Mgr2 promotes coupling of the mitochondrial presequence translocase to partner complexes. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 1817. S70–S71. 1 indexed citations
18.
Qian, Xinguo, Michael Gebert, Ming Yan, et al.. (2011). Structural Basis for the Function of Tim50 in the Mitochondrial Presequence Translocase. Journal of Molecular Biology. 411(3). 513–519. 41 indexed citations
19.
Becker, Thomas, Michael Gebert, Nikolaus Pfanner, & Martin van der Laan. (2009). Biogenesis of mitochondrial membrane proteins. Current Opinion in Cell Biology. 21(4). 484–493. 50 indexed citations
20.
Knoop, Volker, et al.. (2005). Transport of magnesium and other divalent cations: evolution of the 2-TM-GxN proteins in the MIT superfamily. Molecular Genetics and Genomics. 274(3). 205–216. 124 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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