Karin M. Reinisch
- Molecular Biology top 1%
- Cell Biology top 0.1%
- Epidemiology top 2%
- Physiology top 5%
- Physiology top 0.5%
- Co-authors
- Susan Ferro‐NovickHuaqing CaiPietro De CamilliJoshua A. LeesMax L. NibertStephen C. HarrisonThomas J. MeliaGang Dong
- Topics
- Cellular transport and secretion (47 papers)Endoplasmic Reticulum Stress and Disease (23 papers)Lipid Membrane Structure and Behavior (22 papers)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Karin M. Reinisch
72 papers receiving 6.8k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Molecular Biology 4.6k
- Cell Biology 3.3k
- Epidemiology 1.1k
- Physiology 719
- Physiology 520
Countries citing papers authored by Karin M. Reinisch
This map shows the geographic impact of Karin M. Reinisch'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 Karin M. Reinisch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karin M. Reinisch more than expected).
Fields of papers citing papers by Karin M. Reinisch
This network shows the impact of papers produced by Karin M. Reinisch. 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 Karin M. Reinisch. The network helps show where Karin M. Reinisch may publish in the future.
Co-authorship network of co-authors of Karin M. Reinisch
This figure shows the co-authorship network connecting the top 25 collaborators of Karin M. Reinisch. A scholar is included among the top collaborators of Karin M. Reinisch 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 Karin M. Reinisch. Karin M. Reinisch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 10 | |
| 3 | 11 | |
| 4 | 21 | |
| 5 | 36 | |
| 6 | 44 | |
| 7 | A model for a partnership of lipid transfer proteins and scramblases in membrane expansion and organelle biogenesisbreakdown → | 174 |
| 8 | Coming together to define membrane contact sitesbreakdown → | 498 |
| 9 | 77 | |
| 10 | 147 | |
| 11 | 47 | |
| 12 | 72 | |
| 13 | 57 | |
| 14 | 2 | |
| 15 | 20 | |
| 16 | 143 | |
| 17 | 156 | |
| 18 | Coats, Tethers, Rabs, and SNAREs Work Together to Mediate the Intracellular Destination of a Transport Vesiclebreakdown → | 534 |
| 19 | 137 | |
| 20 | 7 |
About Karin M. Reinisch
Karin M. Reinisch is a scholar working on Cell Biology, Biochemistry and Physiology, having authored 74 papers that have together received 6.8k indexed citations. Recurring topics across this work include Cellular transport and secretion (47 papers), Endoplasmic Reticulum Stress and Disease (23 papers) and Lipid Membrane Structure and Behavior (22 papers). The work is most often cited by research in Cell Biology (3.3k citations), Physiology (520 citations) and Molecular Biology (4.6k citations). Karin M. Reinisch has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Susan Ferro‐Novick, Huaqing Cai, Pietro De Camilli, Joshua A. Lees, Max L. Nibert, Stephen C. Harrison, Thomas J. Melia, Gang Dong, Sandra L. Wolin and Nikit Kumar. Their work appears in journals such as Nature, Science and Cell.
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.