Wanda M. Gerding
Impact in
- Anatomy top 0.5%
- Cognitive Neuroscience top 5%
- Hemispheric Asymmetry in Neuroscience
Papers in
-
- Retinal Development and Disorders 5
-
- Hemispheric Asymmetry in Neuroscience 9
- Co-authors
- Jörg T. Epplen (23 shared papers)Larissa Arning (13 shared papers)Christian Beste (12 shared papers)Sebastian Ocklenburg (12 shared papers)Onur Güntürkün (12 shared papers)Denis A. Akkad (8 shared papers)Gabriele Dekomien (7 shared papers)Huu Phuc Nguyen (10 shared papers)
- Journals
- Molecular Neurobiology (6 papers)PLoS ONE (3 papers)Cells (2 papers)Cancers (2 papers)Genes (2 papers)
- Partner nations
- GermanyAustraliaNew Zealand
In The Last Decade
Wanda M. Gerding
36 papers receiving 664 citations
Peers
Comparison fields: 5 of 69
- Anatomy 27
- Cognitive Neuroscience 232
- Genetics 182
- Hematology 63
- Computational Mathematics 3
Countries citing papers authored by Wanda M. Gerding
This map shows the geographic impact of Wanda M. Gerding'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 Wanda M. Gerding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wanda M. Gerding more than expected).
Fields of papers citing papers by Wanda M. Gerding
This network shows the impact of papers produced by Wanda M. Gerding. 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 Wanda M. Gerding. The network helps show where Wanda M. Gerding may publish in the future.
Co-authors
The 25 scholars most cited alongside Wanda M. Gerding, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 74 | |
| 2 | 2011 | 48 | |
| 3 | 2022 | 46 | |
| 4 | 2013 | 41 | |
| 5 | 2015 | 40 | |
| 6 | 2009 | 39 | |
| 7 | 2011 | 33 | |
| 8 | 2013 | 33 | |
| 9 | 2015 | 33 | |
| 10 | 2009 | 32 | |
| 11 | 2023 | 27 | |
| 12 | 2018 | 21 | |
| 13 | 2010 | 19 | |
| 14 | 2023 | 17 | |
| 15 | 2013 | 16 | |
| 16 | 2009 | 15 | |
| 17 | 2015 | 15 | |
| 18 | 2015 | 14 | |
| 19 | 2018 | 13 | |
| 20 | 2023 | 12 |
About Wanda M. Gerding
Wanda M. Gerding is a scholar working on Molecular Biology, Cognitive Neuroscience, Genetics, Cellular and Molecular Neuroscience and Neurology, having authored 37 papers that have together received 673 indexed citations. Recurring topics across this work include Hemispheric Asymmetry in Neuroscience (9 papers), Cancer Genomics and Diagnostics (5 papers), Retinal Development and Disorders (5 papers), Neurological diseases and metabolism (4 papers), Acute Myeloid Leukemia Research (4 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Genetic Neurodegenerative Diseases (3 papers) and Hereditary Neurological Disorders (3 papers). The work is most often cited by research in Anatomy (27 citations), Cognitive Neuroscience (232 citations), Genetics (182 citations), Hematology (63 citations) and Computational Mathematics (3 citations). Wanda M. Gerding has collaborated with scholars based in Germany, Australia and New Zealand. Frequent co-authors include Jörg T. Epplen, Larissa Arning, Christian Beste, Sebastian Ocklenburg, Onur Güntürkün, Denis A. Akkad, Gabriele Dekomien, Huu Phuc Nguyen, Elisabeth Petrasch‐Parwez and Deepak Vangala. Their work appears in journals such as Molecular Neurobiology, PLoS ONE, Cells, Cancers and Genes.
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.