G. Germanà

784 citations
61 papers · 676 · h-index 15

Impact in

Papers in

G. Germanà

56 papers receiving 660 citations

Peers

G. Germanà
Comparison fields: 5 of 85
  • Developmental Neuroscience 70
  • Cellular and Molecular Neuroscience 287
  • Equine 23
  • Sensory Systems 45
  • Urology 38
Replace Rudolf Hebel with:
Rudolf Hebel Germany
E. Ciriaco Italy
G.J. Molenaar Netherlands
Warren Andrew United States
Dianne Gerrelli United Kingdom
H.‐Dieter Dellmann United States
Patrick Wright Australia
Hong‐Xiang Liu United States
Murray L. Barr Canada
Annamaria Grandis Italy
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-authors

The 25 scholars most cited alongside G. Germanà, 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 G. Germanà Line = papers co-authored together G. Germanà links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200649
2 199643
3 200438
4 200437
5 200732
6 200532
7 199831
8 200925
9 200324
10
Immunohistochemical localization of S100 proteins in dorsal root, sympathetic and enteric ganglia of several mammalian species, including man.
199824
11 200222
12 200421
13 200620
14 201420
15 200315
16 199613
17 199713
18
An ultrastructural study of pigeon bursa of Fabricius during involution.
198913
19 200712
20 200612

About G. Germanà

G. Germanà is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Animal Science and Zoology, Surgery and Cell Biology, having authored 61 papers that have together received 676 indexed citations. Recurring topics across this work include Nerve injury and regeneration (13 papers), Neuropeptides and Animal Physiology (7 papers), Neurogenesis and neuroplasticity mechanisms (6 papers), Animal Nutrition and Physiology (6 papers), Neurobiology and Insect Physiology Research (5 papers), Comparative Animal Anatomy Studies (5 papers), S100 Proteins and Annexins (5 papers) and Axon Guidance and Neuronal Signaling (5 papers). The work is most often cited by research in Developmental Neuroscience (70 citations), Cellular and Molecular Neuroscience (287 citations), Equine (23 citations), Sensory Systems (45 citations) and Urology (38 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, U. Muglia, Olivia García‐Suárez and I. Esteban. Their work appears in journals such as The Anatomical Record, Annals of Anatomy - Anatomischer Anzeiger, Journal of Anatomy, Journal of Neuroimmunology and Microscopy Research and Technique.

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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