Michael Krieg

8.8k citations
161 papers · 6.7k indexed · 3 hit papers · h-index 43

Michael Krieg

159 papers receiving 6.5k citations

Hit Papers

The nucleus measures shape ...2862008202620142020200400600

Peers

Michael Krieg
Comparison fields: 5 of 169
  • Aging 266
  • Cell Biology 2.2k
  • Endocrinology, Diabetes and Metabolism 1.5k
  • Urology 431
  • Behavioral Neuroscience 134
Replace Wouter H. Lamers with:
Wouter H. Lamers Netherlands
Nobuo Hashimoto Japan
Hiroshi Sasaki Japan
Leslie A. Leinwand United States
Jun‐ichi Miyazaki Japan
Kenneth R. Chien United States
Norbert Hübner Germany
David C. Spray United States
Hiroyuki Sasaki Japan
Joseph Bryan United States
Michael Krieg relative to Wouter H. Lamers Netherlands Wouter H. Lamers's profile →
Citations per field
00.5×4.1×
Wouter H. Lamers · 1×
Citations per year

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

The 25 scholars most cited alongside Michael Krieg, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Krieg Line = papers co-authored together Michael Krieg links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20255
4 20242
5 202311
6 20229
7 202110
8
The nucleus measures shape changes for cellular proprioception to control dynamic cell behaviorbreakdown →
2020286
9 20171
10 201646
11 201430
12 200621
13 200632
14 200536
15 200110
16 199724
17 199730
18 1993112
19 199015
20
[Determination of steroid receptors in prostate cancer: possibilities and limits].
19863

About Michael Krieg

Michael Krieg is a scholar working on Aging, Endocrinology, Diabetes and Metabolism, Urology, Cell Biology and Endocrine and Autonomic Systems, having authored 161 papers that have together received 6.7k indexed citations. Recurring topics across this work include Hormonal and reproductive studies (58 papers), Cellular Mechanics and Interactions (23 papers), Urinary Bladder and Prostate Research (20 papers), Genetics, Aging, and Longevity in Model Organisms (17 papers), Prostate Cancer Treatment and Research (16 papers), Erythrocyte Function and Pathophysiology (11 papers), Adrenal Hormones and Disorders (11 papers) and Sexual Differentiation and Disorders (10 papers). The work is most often cited by research in Aging (266 citations), Cell Biology (2.2k citations), Endocrinology, Diabetes and Metabolism (1.5k citations), Urology (431 citations) and Behavioral Neuroscience (134 citations). Michael Krieg has collaborated with scholars based in Germany, United States and Spain. Frequent 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. Their work appears in journals such as The Prostate, Clinical Chemistry and Laboratory Medicine (CCLM), European Journal of Endocrinology, The Journal of Clinical Pharmacology and Steroids.

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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