G. Palmieri

35 papers receiving 767 citations

Peers

G. Palmieri
Comparison fields: 5 of 106
  • Transplantation 28
  • Hepatology 55
  • Biomaterials 99
  • Drug Discovery 1
  • Genetics 44
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K. Ulrichs Germany
Li‐Wen Hsu Taiwan
Keiko Hoshi Japan
J Sludden United Kingdom
Robert Robitaille Canada
Madi Sun China
Yuki Imura Japan
Hongwei Peng China
Vinzent N. Spetzler Canada
Leyuan Xu United States
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Citations per field
00.5×2.6×
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Citations per year

Countries citing papers authored by G. Palmieri

Since Specialization
Citations

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

Fields of papers citing papers by G. Palmieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013181
2 201398
3 198291
4 200471
5 198939
6 201138
7 201830
8 198920
9 200618
10 198618
11 200818
12 199817
13 199814
14
Age-related modulation of vascular smooth muscle cells proliferation following arterial wall damage.
198514
15
Immunogenicity comparison of interferon beta-1a preparations using the BALB/c mouse model: assessment of a new formulation for use in multiple sclerosis.
200713
16 199813
17 199713
18 199210
19 19998
20 20177

About G. Palmieri

G. Palmieri is a scholar working on Hepatology, Molecular Biology, Surgery, Epidemiology and Transplantation, having authored 36 papers that have together received 778 indexed citations. Recurring topics across this work include Liver Disease and Transplantation (8 papers), Liver Disease Diagnosis and Treatment (6 papers), Organ Transplantation Techniques and Outcomes (6 papers), Renal Transplantation Outcomes and Treatments (5 papers), Hepatitis C virus research (4 papers), Neurogenetic and Muscular Disorders Research (3 papers), Cerebrovascular and Carotid Artery Diseases (2 papers) and Nitric Oxide and Endothelin Effects (1 paper). The work is most often cited by research in Transplantation (28 citations), Hepatology (55 citations), Biomaterials (99 citations), Drug Discovery (1 citation) and Genetics (44 citations). G. Palmieri has collaborated with scholars based in Italy, United States and Belgium. Frequent co-authors include Luigi Giusto Spagnoli, Maurizio Mattei, Massimo Bottini, Cristiano Sacchetti, Andrea Magrini, S Villaschi, Nicola Rosato, Nunzio Bottini, Sergio Bernardini and Khatereh Motamedchaboki. Their work appears in journals such as Journal of Hepatology, Neurological Sciences, Transplant International, Clinical Rheumatology and Particle & Particle Systems Characterization.

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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