Fanny Mann

3.5k citations
40 papers · 2.5k · h-index 26

Impact in

Papers in

Fanny Mann

40 papers receiving 2.5k citations

Peers

Fanny Mann
Comparison fields: 5 of 101
  • Developmental Neuroscience 562
  • Cellular and Molecular Neuroscience 1.9k
  • Cell Biology 750
  • Molecular Biology 1.2k
  • Neurology 59
Replace Takashi Kitsukawa with:
Takashi Kitsukawa Japan
Lynda Erskine United Kingdom
Yoko Bekku Japan
Kim T. Nguyen-Ba-Charvet France
Robert Hindges United Kingdom
Tianzhi Shu United States
Dan Soppet United States
Thomas Kidd United States
Fumikazu Suto Japan
Sarah McFarlane Canada
Fanny Mann relative to Takashi Kitsukawa Japan Takashi Kitsukawa's profile →
Citations per field
00.5×2.7×
Takashi Kitsukawa · 1×
Citations per year

Countries citing papers authored by Fanny Mann

Since Specialization
Citations

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

Fields of papers citing papers by Fanny Mann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fanny Mann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fanny Mann Line = papers co-authored together Fanny Mann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004435
2 2003251
3 2007184
4 2011177
5 2002162
6 2009110
7 2010104
8 200899
9 201389
10 199881
11 201576
12 200375
13 201374
14 200268
15 200764
16 200548
17 200446
18 201145
19 200239
20 201437

About Fanny Mann

Fanny Mann is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience, Cell Biology, Molecular Biology and Psychiatry and Mental health, having authored 40 papers that have together received 2.5k indexed citations. Recurring topics across this work include Axon Guidance and Neuronal Signaling (35 papers), Neurogenesis and neuroplasticity mechanisms (17 papers), Zebrafish Biomedical Research Applications (15 papers), Neuroscience and Neuropharmacology Research (7 papers), Angiogenesis and VEGF in Cancer (6 papers), Nerve injury and regeneration (3 papers), Cancer, Stress, Anesthesia, and Immune Response (3 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Developmental Neuroscience (562 citations), Cellular and Molecular Neuroscience (1.9k citations), Cell Biology (750 citations), Molecular Biology (1.2k citations) and Neurology (59 citations). Fanny Mann has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Christine E. Holt, Sophie Chauvet, Jean Livet, Christopher E. Henderson, Geneviève Rougon, Yutaka Yoshida, Chenghua Gu, Alex L. Kolodkin, Janna Merte and Yutaka Yoshida. Their work appears in journals such as Neuron, Nature Communications, Molecular and Cellular Neuroscience, The International Journal of Developmental Biology 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.

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