Tanya Wolff
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 1%
- Cell Biology top 1%
- Genetics top 5%
- Immunology top 10%
- Co-authors
- Gerald M. RubinDonald F. ReadyBruce A. HayUlrike HeberleinAmy S. RawlsNirmala IyerVivek JayaramanDaniel B. Turner‐Evans
- Topics
- Neurobiology and Insect Physiology Research (21 papers)Developmental Biology and Gene Regulation (11 papers)Hippo pathway signaling and YAP/TAZ (8 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Tanya Wolff
32 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Molecular Biology 2.4k
- Cellular and Molecular Neuroscience 1.5k
- Cell Biology 1.1k
- Genetics 560
- Immunology 363
Countries citing papers authored by Tanya Wolff
This map shows the geographic impact of Tanya Wolff'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 Tanya Wolff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tanya Wolff more than expected).
Fields of papers citing papers by Tanya Wolff
This network shows the impact of papers produced by Tanya Wolff. 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 Tanya Wolff. The network helps show where Tanya Wolff may publish in the future.
Co-authorship network of co-authors of Tanya Wolff
This figure shows the co-authorship network connecting the top 25 collaborators of Tanya Wolff. A scholar is included among the top collaborators of Tanya Wolff 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 Tanya Wolff. Tanya Wolff is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | A connectome of the Drosophila central complex reveals network motifs suitable for flexible navigation and context-dependent action selectionbreakdown → | 197 |
| 3 | 69 | |
| 4 | 175 | |
| 5 | 26 | |
| 6 | 1 | |
| 7 | The cell adhesion molecules Echinoid and Friend of Echinoid coordinate cell adhesion and cell signaling to regulate the fidelity of ommatidial rotation in the Drosophila eye | 3 |
| 8 | 15 | |
| 9 | 24 | |
| 10 | 5 | |
| 11 | 25 | |
| 12 | 5 | |
| 13 | 10 | |
| 14 | 66 | |
| 15 | 87 | |
| 16 | 98 | |
| 17 | 17 | |
| 18 | 18 | |
| 19 | 365 | |
| 20 | 334 |
About Tanya Wolff
Tanya Wolff is a scholar working on Cellular and Molecular Neuroscience, Aging and Cell Biology, having authored 33 papers that have together received 3.4k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (21 papers), Developmental Biology and Gene Regulation (11 papers) and Hippo pathway signaling and YAP/TAZ (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.5k citations), Aging (125 citations) and Cell Biology (1.1k citations). Tanya Wolff has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Gerald M. Rubin, Donald F. Ready, Bruce A. Hay, Ulrike Heberlein, Amy S. Rawls, Nirmala Iyer, Vivek Jayaraman, Daniel B. Turner‐Evans, Romain Franconville and Ryan Fiehler. Their work appears in journals such as Nature, Cell and Neuron.
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.