G. Germanà

784 citations
61 papers · 681 indexed · h-index 15
Topics
Nerve injury and regeneration (14 papers)Neuropeptides and Animal Physiology (7 papers)Neurobiology and Insect Physiology Research (6 papers)
Journals
SHILAP Revista de lepidopterologíaBrain ResearchNeuroscience Letters
Partner nations
ItalySpainUnited States

In The Last Decade

G. Germanà

57 papers receiving 663 citations

Peers

G. Germanà
Comparison fields: 5 of 85
  • Cellular and Molecular Neuroscience 297
  • Molecular Biology 144
  • Immunology 86
  • Cell Biology 83
  • Developmental Neuroscience 74
Replace Rudolf Hebel with:
Rudolf Hebel Germany
E. Ciriaco Italy
Masato Uehara Japan
G.J. Molenaar Netherlands
Dianne Gerrelli United Kingdom
H.‐Dieter Dellmann United States
Patrick Wright Australia
Annamaria Grandis Italy
Warren Andrew United States
Hong‐Xiang Liu United States
G. Germanà relative to Rudolf Hebel Germany Rudolf Hebel's profile →
Citations per field
00.5×
Rudolf Hebel · 1×
Citations per year

Countries citing papers authored by G. Germanà

Since Specialization
Citations

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

Fields of papers citing papers by G. Germanà

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Germanà

This figure shows the co-authorship network connecting the top 25 collaborators of G. Germanà. A scholar is included among the top collaborators of G. Germanà 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 G. Germanà. G. Germanà 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
#WorkIndexed citations
1 20
2 25
3 49
4 32
5 3
6 21
7 3
8 38
9 24
10
Intermediate filament proteins in developing and adult human dorsal root and sympathetic ganglia.
1
11 2
12 11
13 30
14 4
15 13
16 7
17 2
18 7
19 6
20 11

About G. Germanà

G. Germanà is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Animal Science and Zoology, having authored 61 papers that have together received 681 indexed citations. Recurring topics across this work include Nerve injury and regeneration (14 papers), Neuropeptides and Animal Physiology (7 papers) and Neurobiology and Insect Physiology Research (6 papers). The work is most often cited by research in Developmental Neuroscience (74 citations), Cellular and Molecular Neuroscience (297 citations) and Equine (24 citations). G. Germanà has collaborated with scholars based in Italy, Spain and United States. Frequent co-authors include José A. Vega, E. Ciriaco, Antonino Germanà, Francesco Abbate, Maria Levanti, Rosaria Laurà, Giuseppe Montalbano, Félix de Carlos Villafranca, U. Muglia and Olivia García‐Suárez. Their work appears in journals such as SHILAP Revista de lepidopterología, Brain Research and Neuroscience Letters.

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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