G Nini

467 total citations
16 papers, 203 citations indexed

About

G Nini is a scholar working on Cell Biology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, G Nini has authored 16 papers receiving a total of 203 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cell Biology, 5 papers in Genetics and 3 papers in Pathology and Forensic Medicine. Recurrent topics in G Nini's work include Skin and Cellular Biology Research (5 papers), Dermatological and Skeletal Disorders (4 papers) and Genetic and rare skin diseases. (2 papers). G Nini is often cited by papers focused on Skin and Cellular Biology Research (5 papers), Dermatological and Skeletal Disorders (4 papers) and Genetic and rare skin diseases. (2 papers). G Nini collaborates with scholars based in Italy. G Nini's co-authors include Luca Bianchi, Maria Grazia Farrace, Anna Maria Carrozzo, Augusto Orlandi, Luigi Giusto Spagnoli, Giovanni Spera, Carla Lubrano, Grazia Primavera, Andrea Paro Vidolin and Simona Gatti and has published in prestigious journals such as Journal of Investigative Dermatology, British Journal of Dermatology and Journal of the European Academy of Dermatology and Venereology.

In The Last Decade

G Nini

16 papers receiving 192 citations

Peers

G Nini
Comparison fields: 5 of 44
  • Genetics 73
  • Cell Biology 63
  • Dermatology 62
  • Molecular Biology 52
  • Rheumatology 44
Replace Michele J. Farber with:
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Anne-Katrin Kortüm Germany
Ruby M. Stewart United States
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Leilei Wen China
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Michele J. Farber United States View profile →
Citations per field, relative to G Nini
G Nini · 1×
Citations per year, relative to G Nini
G Nini · 1×

Countries citing papers authored by G Nini

Since Specialization
Citations

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

Fields of papers citing papers by G Nini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G Nini

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

All Works

16 of 16 papers shown
# Work Indexed citations
1 19
2 15
3 33
4 11
5 61
6 23
7
Evaluation of serine alpha 1-antitrypsin and polymorphonuclear leukocyte elastase contents and their immunogenetic correlation in psoriasis.
2
8 12
9 14
10
[Lyell's syndrome and lymphoma].
1
11
HLA antigens and infantile psoriasis.
4
12
Sarcoma di Kaposi e neoplasie linfoproliferative
1
13
[Incidence of actinic cheilitis in Somalia].
2
14
[Controlled clinical evaluation of a new anti-hemorrhoid drug, using a completely randomized experimental plan].
1
15
[Unusual case of paraneoplastic erythroacrokeratosis].
1
16
[Clinico-radiological contribution to the study of paracoccidioidomycosis].
3

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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