Meike E. van der Heijden
- Cellular and Molecular Neuroscience top 10%
- Molecular Biology
- Neurology top 10%
- Neurology top 10%
- Endocrine and Autonomic Systems top 10%
- Co-authors
- Roy V. SillitoeHuda Y. ZoghbiTao LinAmanda M BrownJason S. GillJoy ZhouJoshua J. WhiteJianrong Tang
- Topics
- Neurological disorders and treatments (11 papers)Genetic Neurodegenerative Diseases (9 papers)Neuroscience and Neuropharmacology Research (7 papers)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Meike E. van der Heijden
29 papers receiving 571 citations
Peers
Comparison fields: 5 of 73
- Cellular and Molecular Neuroscience 257
- Molecular Biology 207
- Neurology 163
- Neurology 108
- Endocrine and Autonomic Systems 98
Countries citing papers authored by Meike E. van der Heijden
This map shows the geographic impact of Meike E. van der Heijden'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 Meike E. van der Heijden with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meike E. van der Heijden more than expected).
Fields of papers citing papers by Meike E. van der Heijden
This network shows the impact of papers produced by Meike E. van der Heijden. 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 Meike E. van der Heijden. The network helps show where Meike E. van der Heijden may publish in the future.
Co-authorship network of co-authors of Meike E. van der Heijden
This figure shows the co-authorship network connecting the top 25 collaborators of Meike E. van der Heijden. A scholar is included among the top collaborators of Meike E. van der Heijden 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 Meike E. van der Heijden. Meike E. van der Heijden is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 3 | |
| 3 | 7 | |
| 4 | 11 | |
| 5 | 7 | |
| 6 | 3 | |
| 7 | 7 | |
| 8 | 17 | |
| 9 | 14 | |
| 10 | 6 | |
| 11 | 9 | |
| 12 | 60 | |
| 13 | 33 | |
| 14 | 53 | |
| 15 | 59 | |
| 16 | 41 | |
| 17 | 24 | |
| 18 | 46 | |
| 19 | 26 | |
| 20 | 26 |
About Meike E. van der Heijden
Meike E. van der Heijden is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Neurology, having authored 29 papers that have together received 579 indexed citations. Recurring topics across this work include Neurological disorders and treatments (11 papers), Genetic Neurodegenerative Diseases (9 papers) and Neuroscience and Neuropharmacology Research (7 papers). The work is most often cited by research in Endocrine and Autonomic Systems (98 citations), Cellular and Molecular Neuroscience (257 citations) and Neurology (108 citations). Meike E. van der Heijden has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Roy V. Sillitoe, Huda Y. Zoghbi, Tao Lin, Amanda M Brown, Jason S. Gill, Joy Zhou, Joshua J. White, Jianrong Tang, Samuel M. Wu and Jaclyn Beckinghausen. Their work appears in journals such as Nature Communications, Neuron and Journal of Neuroscience.
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.