Michael Krieg

8.8k total citations · 3 hit papers
161 papers, 6.7k citations indexed

About

Michael Krieg is a scholar working on Endocrinology, Diabetes and Metabolism, Cell Biology and Molecular Biology. According to data from OpenAlex, Michael Krieg has authored 161 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Endocrinology, Diabetes and Metabolism, 43 papers in Cell Biology and 41 papers in Molecular Biology. Recurrent topics in Michael Krieg's work include Hormonal and reproductive studies (58 papers), Cellular Mechanics and Interactions (23 papers) and Urinary Bladder and Prostate Research (20 papers). Michael Krieg is often cited by papers focused on Hormonal and reproductive studies (58 papers), Cellular Mechanics and Interactions (23 papers) and Urinary Bladder and Prostate Research (20 papers). Michael Krieg collaborates with scholars based in Germany, United States and Spain. Michael Krieg's co-authors include Daniel J. Müller, Carl‐Philipp Heisenberg, Sabine Tunn, Miriam B. Goodman, W. Bartsch, Pierre‐Henri Puech, Kai‐Ingo Voigt, Heike Weißer, Jos Käfer and François Graner and has published in prestigious journals such as Science, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Michael Krieg

159 papers receiving 6.5k citations

Hit Papers

Tensile forces govern germ-layer organization in zebrafish 2008 2026 2014 2020 2008 2018 2020 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Krieg Germany 43 2.2k 2.1k 1.5k 969 901 161 6.7k
Hans Oberleithner Germany 56 1.5k 0.7× 5.2k 2.5× 1.4k 0.9× 1.3k 1.4× 778 0.9× 262 10.2k
Joseph Bryan United States 65 3.3k 1.5× 7.6k 3.6× 2.7k 1.7× 640 0.7× 1.1k 1.2× 161 16.3k
Richard A. Murphy United States 56 1.9k 0.9× 4.7k 2.2× 351 0.2× 454 0.5× 823 0.9× 243 10.9k
Detlev Drenckhahn Germany 62 2.5k 1.1× 5.2k 2.5× 189 0.1× 859 0.9× 685 0.8× 189 11.0k
Paul J. Bertics United States 48 884 0.4× 2.5k 1.2× 376 0.2× 388 0.4× 903 1.0× 132 6.9k
Robert Adelstein United States 80 8.1k 3.7× 12.0k 5.7× 402 0.3× 850 0.9× 1.2k 1.3× 206 19.6k
Michael P. Walsh Canada 65 2.0k 0.9× 8.3k 4.0× 342 0.2× 467 0.5× 253 0.3× 261 12.5k
Noboru Suzuki Japan 51 593 0.3× 3.5k 1.7× 338 0.2× 753 0.8× 128 0.1× 286 9.4k
Edward R.B. McCabe United States 52 419 0.2× 5.5k 2.6× 814 0.5× 506 0.5× 975 1.1× 252 10.4k
Hiroshi Sasaki Japan 69 3.4k 1.6× 13.6k 6.5× 397 0.3× 970 1.0× 593 0.7× 433 21.4k

Countries citing papers authored by Michael Krieg

Since Specialization
Citations

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

Fields of papers citing papers by Michael Krieg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Krieg

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Krieg. A scholar is included among the top collaborators of Michael Krieg 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 Krieg. Michael Krieg 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.
Oren‐Suissa, Meital, et al.. (2025). Sensory experience controls dendritic structure and behavior by distinct pathways involving degenerins. eLife. 14. 1 indexed citations
2.
Català-Castro, Frederic, et al.. (2025). Obstacles regulate membrane tension propagation to enable localized mechanotransduction. Nature Physics. 21(11). 1741–1752.
3.
Krieg, Michael, et al.. (2025). The mechanobiology of biomolecular condensates. PubMed. 6(1). 11310–11310. 5 indexed citations
4.
Oren‐Suissa, Meital, et al.. (2024). Automated dual olfactory device for studying head/tail chemosensation in Caenorhabditis elegans. APL Bioengineering. 8(2). 26104–26104. 2 indexed citations
5.
Porta-de-la-Riva, Montserrat, et al.. (2023). FLInt: single shot safe harbor transgene integration via Fluorescent Landmark Interference. G3 Genes Genomes Genetics. 13(5). 11 indexed citations
6.
Porta-de-la-Riva, Montserrat, Laura Batlle‐Morera, Valeria Venturini, et al.. (2022). Volumetric imaging of fast cellular dynamics with deep learning enhanced bioluminescence microscopy. Communications Biology. 5(1). 1330–1330. 9 indexed citations
7.
Català-Castro, Frederic, et al.. (2021). Direct Force Measurements of Subcellular Mechanics in Confinement using Optical Tweezers. Journal of Visualized Experiments. 10 indexed citations
8.
Venturini, Valeria, Fabio Pezzano, Frederic Català-Castro, et al.. (2020). The nucleus measures shape changes for cellular proprioception to control dynamic cell behavior. Science. 370(6514). 286 indexed citations breakdown →
9.
Krieg, Michael, Juan G. Cueva, Richard D. Fetter, et al.. (2017). Tau Like Proteins Reduce Torque Generation in Microtubule Bundles. Biophysical Journal. 112(3). 29a–30a. 1 indexed citations
10.
Schwarz, Erich M., Robert O’Hagan, Michael Krieg, et al.. (2016). The tubulin repertoire of Caenorhabditis elegans sensory neurons and its context‑dependent role in process outgrowth. Molecular Biology of the Cell. 27(23). 3717–3728. 46 indexed citations
11.
Schubert, Rajib, Nico Strohmeyer, Mitasha Bharadwaj, et al.. (2014). Assay for characterizing the recovery of vertebrate cells for adhesion measurements by single‐cell force spectroscopy. FEBS Letters. 588(19). 3639–3648. 30 indexed citations
12.
Stachon, Axel, et al.. (2006). Poor prognosis indicated by nucleated red blood cells in peripheral blood is not associated with organ failure of the liver or kidney. Clinical Chemistry and Laboratory Medicine (CCLM). 44(8). 955–61. 21 indexed citations
13.
Stachon, Axel, et al.. (2006). Daily monitoring of nucleated red blood cells in the blood of surgical intensive care patients. Clinica Chimica Acta. 366(1-2). 329–335. 32 indexed citations
15.
Stachon, Axel, et al.. (2001). Primary culture of microvascular endothelial cells from human benign prostatic hyperplasia. The Prostate. 48(3). 156–164. 10 indexed citations
16.
Weißer, Heike & Michael Krieg. (1997). Kinetic analysis of androstenedione 5α-reductase in epithelium and stroma of human prostate. Steroids. 62(8-9). 589–594. 24 indexed citations
17.
Meibohm, Bernd, Günther Hochhaus, Shashank Rohatagi, et al.. (1997). Dependency of Cortisol Suppression on the Administration Time of Inhaled Corticosteroids. The Journal of Clinical Pharmacology. 37(8). 704–710. 30 indexed citations
18.
Derendorf, Hartmut, et al.. (1993). Receptor‐Based Pharmacokinetic‐Pharmacodynamic Analysis of Corticosteroids. The Journal of Clinical Pharmacology. 33(2). 115–123. 112 indexed citations
19.
Tunn, Sabine, et al.. (1990). Multicentre Evaluation of an Enzyme-Immunoassay for Cortisol Determination. Clinical Chemistry and Laboratory Medicine (CCLM). 28(12). 929–35. 15 indexed citations
20.
Krieg, Michael, et al.. (1986). [Determination of steroid receptors in prostate cancer: possibilities and limits].. PubMed. 25(1). 59–62. 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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