Maik Herbig
Impact in
- Biophysics top 2%
- Cell Image Analysis Techniques
- Cell Biology top 2%
- Cellular Mechanics and Interactions
Papers in
-
- Cell Image Analysis Techniques 9
- Cell Biology 17
- Cellular Mechanics and Interactions 14
- Microtubule and mitosis dynamics 3
- Co-authors
- Jochen GuckOliver OttoPaul MüllerAnna TaubenbergerMartin KräterAngela JacobiPhilipp RosendahlElke Ulbricht
- Journals
- Cytometry Part A (5 papers)Scientific Reports (3 papers)Lab on a Chip (3 papers)Nature Methods (2 papers)Advanced Science (2 papers)
- Partner nations
- GermanyUnited StatesJapan
In The Last Decade
Maik Herbig
37 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Biophysics 173
- Cell Biology 483
- Biomedical Engineering 597
- Molecular Biology 520
- Aging 11
Countries citing papers authored by Maik Herbig
This map shows the geographic impact of Maik Herbig'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 Maik Herbig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maik Herbig more than expected).
Fields of papers citing papers by Maik Herbig
This network shows the impact of papers produced by Maik Herbig. 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 Maik Herbig. The network helps show where Maik Herbig may publish in the future.
Co-authors
The 25 scholars most cited alongside Maik Herbig, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 5 | |
| 2 | 2023 | 6 | |
| 3 | 2023 | 28 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 9 | |
| 6 | 2022 | 8 | |
| 7 | 2022 | 24 | |
| 8 | 2022 | 13 | |
| 9 | 2022 | 19 | |
| 10 | 2019 | 51 | |
| 11 | 2019 | 40 | |
| 12 | 2019 | 4 | |
| 13 | 2019 | 2 | |
| 14 | 2018 | 39 | |
| 15 | 2018 | 121 | |
| 16 | 2017 | 57 | |
| 17 | 2017 | 122 | |
| 18 | 2017 | 38 | |
| 19 | A pH-driven transition of the cytoplasm from a fluid- to a solid-like state promotes entry into dormancy Hit paper breakdown → | 2016 | 317 |
| 20 | 2015 | 9 |
About Maik Herbig
Maik Herbig is a scholar working on Biophysics, Cell Biology, Hematology, Biological Psychiatry and Biomedical Engineering, having authored 37 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (14 papers), Microfluidic and Bio-sensing Technologies (11 papers), Cell Image Analysis Techniques (9 papers), 3D Printing in Biomedical Research (8 papers), Single-cell and spatial transcriptomics (3 papers), Erythrocyte Function and Pathophysiology (3 papers), Microtubule and mitosis dynamics (3 papers) and Image Processing Techniques and Applications (3 papers). The work is most often cited by research in Biophysics (173 citations), Cell Biology (483 citations), Biomedical Engineering (597 citations), Molecular Biology (520 citations) and Aging (11 citations). Maik Herbig has collaborated with scholars based in Germany, United States and Japan. Frequent co-authors include Jochen Guck, Oliver Otto, Paul Müller, Anna Taubenberger, Martin Kräter, Angela Jacobi, Philipp Rosendahl, Elke Ulbricht, Salvatore Girardo and Nicole Toepfner. Their work appears in journals such as Cytometry Part A, Scientific Reports, Lab on a Chip, Nature Methods and Advanced Science.
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.