Frances Hannan

2.2k total citations
21 papers, 1.8k citations indexed

About

Frances Hannan is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Neurology. According to data from OpenAlex, Frances Hannan has authored 21 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cellular and Molecular Neuroscience, 13 papers in Molecular Biology and 5 papers in Neurology. Recurrent topics in Frances Hannan's work include Neurobiology and Insect Physiology Research (11 papers), Neurofibromatosis and Schwannoma Cases (5 papers) and Signaling Pathways in Disease (4 papers). Frances Hannan is often cited by papers focused on Neurobiology and Insect Physiology Research (11 papers), Neurofibromatosis and Schwannoma Cases (5 papers) and Signaling Pathways in Disease (4 papers). Frances Hannan collaborates with scholars based in United States, United Kingdom and Australia. Frances Hannan's co-authors include Yi Zhong, Linda M. Hall, André Bernards, Hui-Fu Guo, Peter D. Evans, Vincenzina Reale, John M. Midgley, Yinghua Zhu, Sandra Robb and Lin Luo and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Frances Hannan

21 papers receiving 1.7k citations

Peers

Frances Hannan
Comparison fields: 5 of 86
  • Cellular and Molecular Neuroscience 970
  • Molecular Biology 751
  • Neurology 408
  • Genetics 307
  • Insect Science 256
Replace Patricia S. Estes with:
Patricia S. Estes United States
Tong‐Wey Koh United States
Daniel Gibbs United States
Carol M. Singh United States
Tobias M. Rasse Germany
Subhabrata Sanyal United States
Oliver Hendrich Germany
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D O Clary United States
László Tirián Austria
Patricia S. Estes United States View profile →
Citations per field, relative to Frances Hannan
Frances Hannan · 1×
Citations per year, relative to Frances Hannan
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Countries citing papers authored by Frances Hannan

Since Specialization
Citations

This map shows the geographic impact of Frances Hannan'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 Frances Hannan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frances Hannan more than expected).

Fields of papers citing papers by Frances Hannan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frances Hannan. 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 Frances Hannan. The network helps show where Frances Hannan may publish in the future.

Co-authorship network of co-authors of Frances Hannan

This figure shows the co-authorship network connecting the top 25 collaborators of Frances Hannan. A scholar is included among the top collaborators of Frances Hannan 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 Frances Hannan. Frances Hannan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 82
2 8
3 57
4 1
5 76
6 158
7 89
8 169
9 196
10 7
11 37
12 171
13 88
14 16
15 140
16 42
17 71
18 208
19 22
20 43

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.

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