A. Pacini

664 citations
40 papers · 555 · h-index 14

Impact in

    • Immune Response and Inflammation
    • Cytokine Signaling Pathways and Interactions

Papers in

A. Pacini

40 papers receiving 499 citations

Peers

A. Pacini
Comparison fields: 5 of 92
  • Immunology 119
  • Oncology 120
  • Pharmacology 34
  • Radiology, Nuclear Medicine and Imaging 70
  • Molecular Biology 219
Replace Jane Hamlett with:
Jane Hamlett United Kingdom
Masahiro Asakage Japan
Prashasnika Gehlot United States
Xiaolin Xiao China
Sarada C. Prasad United States
Hui Qin China
Irina Buhăescu Romania
Anne Cooper United Kingdom
A. Pacini relative to Jane Hamlett United Kingdom Jane Hamlett's profile →
Citations per field
00.5×1.5×1.9×
Jane Hamlett · 1×
Citations per year

Countries citing papers authored by A. Pacini

Since Specialization
Citations

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

Fields of papers citing papers by A. Pacini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200976
2 200840
3 198139
4 198237
5 198230
6
Degradation of human 125I-interferon alpha by isolated perfused rabbit kidney and liver.
198327
7 198525
8
Studies on tumor necrosis factor (TNF): II. Metabolic fate and distribution of human recombinant TNF.
198725
9 198424
10 197722
11 197417
12 198116
13 200415
14 197314
15 196813
16 198713
17 200612
18
In vivo stimulation of lung collagen synthesis by collagen derived peptides.
199011
19 198311
20 197910

About A. Pacini

A. Pacini is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Physiology and Immunology, having authored 40 papers that have together received 555 indexed citations. Recurring topics across this work include Blood properties and coagulation (6 papers), Protein purification and stability (5 papers), Peptidase Inhibition and Analysis (5 papers), Cytokine Signaling Pathways and Interactions (4 papers), Immune Response and Inflammation (4 papers), Inhalation and Respiratory Drug Delivery (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and Alzheimer's disease research and treatments (3 papers). The work is most often cited by research in Immunology (119 citations), Oncology (120 citations), Pharmacology (34 citations), Radiology, Nuclear Medicine and Imaging (70 citations) and Molecular Biology (219 citations). A. Pacini has collaborated with scholars based in Italy, Czechia and France. Frequent co-authors include Velio Bocci, G. P. Pessina, M. Muscettola, Emanuela Maioli, Luana Paulesu, Claudia Torricelli, Vittoria Fortino, Filippo Carlucci, Antonella Naldini and K. E. Mogensen. Their work appears in journals such as Journal of General Virology, Antiviral Research, Experimental Cell Research, Thrombosis and Haemostasis and Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.

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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