Marla B. Sokolowski
- Genetics top 0.5%
- Cellular and Molecular Neuroscience top 0.5%
- Ecology, Evolution, Behavior and Systematics top 0.2%
- Insect Science top 0.2%
- Molecular Biology top 10%
- Co-authors
- Gene E. RobinsonYehuda Ben‐ShaharJ. Steven de BelleH. Sofia PereiraIna AnreiterAlain RobichonArthur J. HillikerKarla R. Kaun
- Topics
- Neurobiology and Insect Physiology Research (63 papers)Animal Behavior and Reproduction (40 papers)Insect and Arachnid Ecology and Behavior (35 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Marla B. Sokolowski
154 papers receiving 6.7k citations
Peers
Comparison fields: 5 of 153
- Genetics 2.6k
- Cellular and Molecular Neuroscience 2.6k
- Ecology, Evolution, Behavior and Systematics 2.5k
- Insect Science 1.7k
- Molecular Biology 1.1k
Countries citing papers authored by Marla B. Sokolowski
This map shows the geographic impact of Marla B. Sokolowski'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 Marla B. Sokolowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marla B. Sokolowski more than expected).
Fields of papers citing papers by Marla B. Sokolowski
This network shows the impact of papers produced by Marla B. Sokolowski. 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 Marla B. Sokolowski. The network helps show where Marla B. Sokolowski may publish in the future.
Co-authorship network of co-authors of Marla B. Sokolowski
This figure shows the co-authorship network connecting the top 25 collaborators of Marla B. Sokolowski. A scholar is included among the top collaborators of Marla B. Sokolowski 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 Marla B. Sokolowski. Marla B. Sokolowski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 26 | |
| 4 | 78 | |
| 5 | 48 | |
| 6 | 24 | |
| 7 | 30 | |
| 8 | Scarred for life | 1 |
| 9 | 26 | |
| 10 | 51 | |
| 11 | Natural polymorphism affecting learning and memory in Drosophila | 3 |
| 12 | 2 | |
| 13 | 379 | |
| 14 | 9 | |
| 15 | 315 | |
| 16 | 30 | |
| 17 | 28 | |
| 18 | 79 | |
| 19 | 43 | |
| 20 | 19 |
About Marla B. Sokolowski
Marla B. Sokolowski is a scholar working on Aging, Cellular and Molecular Neuroscience and Ecology, Evolution, Behavior and Systematics, having authored 156 papers that have together received 6.9k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (63 papers), Animal Behavior and Reproduction (40 papers) and Insect and Arachnid Ecology and Behavior (35 papers). The work is most often cited by research in Aging (501 citations), Cellular and Molecular Neuroscience (2.6k citations) and Insect Science (1.7k citations). Marla B. Sokolowski has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Gene E. Robinson, Yehuda Ben‐Shahar, J. Steven de Belle, H. Sofia Pereira, Ina Anreiter, Alain Robichon, Arthur J. Hilliker, Karla R. Kaun, Matthew C. Fitzpatrick and Clement F. Kent. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.