Michael C. Lanz
Impact in
- Cell Biology top 10%
- Microtubule and mitosis dynamics
Papers in
-
- DNA Repair Mechanisms 7
- RNA and protein synthesis mechanisms 4
- Fungal and yeast genetics research 3
- Bioinformatics and Genomic Networks 3
- Co-authors
- Marcus B. Smolka (10 shared papers)Diego Dibitetto (1 shared paper)Armin Brandt (2 shared papers)Jan M. Skotheim (8 shared papers)Bernhard Oehl (2 shared papers)Andreas Schulze‐Bonhage (2 shared papers)Joshua E. Elias (5 shared papers)Vítor M. Faça (2 shared papers)
- Journals
- Molecular Cell (2 papers)Epilepsy & Behavior (2 papers)Nature Communications (2 papers)eLife (2 papers)EJNMMI Research (2 papers)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Michael C. Lanz
35 papers receiving 907 citations
Peers
Comparison fields: 5 of 91
- Cell Biology 152
- Aging 16
- Endocrinology 44
- Molecular Biology 533
- Psychiatry and Mental health 68
Countries citing papers authored by Michael C. Lanz
This map shows the geographic impact of Michael C. Lanz'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 C. Lanz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael C. Lanz more than expected).
Fields of papers citing papers by Michael C. Lanz
This network shows the impact of papers produced by Michael C. Lanz. 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 C. Lanz. The network helps show where Michael C. Lanz may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael C. Lanz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 182 | |
| 2 | 2022 | 119 | |
| 3 | 2021 | 94 | |
| 4 | 2019 | 72 | |
| 5 | 2010 | 68 | |
| 6 | 2009 | 38 | |
| 7 | 2019 | 36 | |
| 8 | 2018 | 31 | |
| 9 | 2007 | 31 | |
| 10 | 2003 | 29 | |
| 11 | 2019 | 28 | |
| 12 | 2016 | 19 | |
| 13 | 2022 | 18 | |
| 14 | 2021 | 17 | |
| 15 | 2018 | 16 | |
| 16 | 2019 | 16 | |
| 17 | 2020 | 15 | |
| 18 | 2024 | 12 | |
| 19 | 2023 | 12 | |
| 20 | 2017 | 10 |
About Michael C. Lanz
Michael C. Lanz is a scholar working on Molecular Biology, Cognitive Neuroscience, Psychiatry and Mental health, Spectroscopy and Cellular and Molecular Neuroscience, having authored 38 papers that have together received 916 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (7 papers), Advanced Proteomics Techniques and Applications (6 papers), Epilepsy research and treatment (6 papers), RNA and protein synthesis mechanisms (4 papers), Fungal and yeast genetics research (3 papers), Microtubule and mitosis dynamics (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Bioinformatics and Genomic Networks (3 papers). The work is most often cited by research in Cell Biology (152 citations), Aging (16 citations), Endocrinology (44 citations), Molecular Biology (533 citations) and Psychiatry and Mental health (68 citations). Michael C. Lanz has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Marcus B. Smolka, Diego Dibitetto, Armin Brandt, Jan M. Skotheim, Bernhard Oehl, Andreas Schulze‐Bonhage, Joshua E. Elias, Vítor M. Faça, Helmut Hildebrandt and Horst K. Hahn. Their work appears in journals such as Molecular Cell, Epilepsy & Behavior, Nature Communications, eLife and EJNMMI Research.
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.