Elisabetta Gerace

3.1k citations
58 papers · 2.1k indexed · 2 hit papers · h-index 21
Topics
Neuroscience and Neuropharmacology Research (18 papers)PARP inhibition in cancer therapy (7 papers)Neuroinflammation and Neurodegeneration Mechanisms (5 papers)

In The Last Decade

Elisabetta Gerace

56 papers receiving 2.1k citations

Hit Papers

Bacterial Antibiotic Resistance: The Most Critical Pathogens202120262022202420212023250500750

Peers

Elisabetta Gerace
Comparison fields: 5 of 127
  • Molecular Biology 664
  • Epidemiology 348
  • Infectious Diseases 290
  • Molecular Medicine 278
  • Cellular and Molecular Neuroscience 275
Replace Yuan‐Man Hsu with:
Yuan‐Man Hsu Taiwan
Yeong‐Min Park South Korea
Xian Zhou China
Radha K. Maheshwari United States
Man Huang China
Ravikumar Aalinkeel United States
Shazi Shakil Saudi Arabia
Vesna Eraković Haber Croatia
Harald Carlsen Norway
Zhiwei Zheng China
Elisabetta Gerace relative to Yuan‐Man Hsu Taiwan Yuan‐Man Hsu's profile →
Citations per field
00.5×1.5×2.5×
Yuan‐Man Hsu · 1×
Citations per year

Countries citing papers authored by Elisabetta Gerace

Since Specialization
Citations

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

Fields of papers citing papers by Elisabetta Gerace

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elisabetta Gerace

This figure shows the co-authorship network connecting the top 25 collaborators of Elisabetta Gerace. A scholar is included among the top collaborators of Elisabetta Gerace 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 Elisabetta Gerace. Elisabetta Gerace 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 2
2 0
3 1
4 2
5 8
6 2
7 0
8 6
9 20
10 8
11 19
12 16
13 44
14 11
15 4
16 25
17 78
18 25
19 15
20 47

About Elisabetta Gerace

Elisabetta Gerace is a scholar working on Cellular and Molecular Neuroscience, Biological Psychiatry and Sensory Systems, having authored 58 papers that have together received 2.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (18 papers), PARP inhibition in cancer therapy (7 papers) and Neuroinflammation and Neurodegeneration Mechanisms (5 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (116 citations), Molecular Medicine (278 citations) and Microbiology (136 citations). Elisabetta Gerace has collaborated with scholars based in Italy, United Kingdom and Sweden. Frequent co-authors include Carmelo Biondo, Giuseppe Mancuso, Angelina Midiri, Domenico E. Pellegrini‐Giampietro, Elisa Landucci, Flavio Moroni, Tania Scartabelli, Vincenzo Di Marco Lo Presti, Sebastiana Zummo and Guido Mannaioni. Their work appears in journals such as The Journal of Experimental Medicine, The Journal of Immunology and Scientific Reports.

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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