V. Pallini

2.9k citations
77 papers · 2.3k indexed · h-index 28

Impact in

Papers in

V. Pallini

76 papers receiving 2.3k citations

Peers

V. Pallini
Comparison fields: 5 of 111
  • Microbiology 155
  • Reproductive Medicine 211
  • Aging 42
  • Cell Biology 290
  • Molecular Biology 1.1k
Replace Luc Camoin with:
Luc Camoin France
George Posthuma Netherlands
Friedrich Buck Germany
Alexander Kurosky United States
Linda K. Johnson United States
Manuel A. S. Santos Portugal
Ulrich Hämmerling United States
Edward Nieves United States
James S. Norris United States
Akemi Suzuki Japan
V. Pallini relative to Luc Camoin France Luc Camoin's profile →
Citations per field
00.5×1.6×
Luc Camoin · 1×
Citations per year

Countries citing papers authored by V. Pallini

Since Specialization
Citations

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

Fields of papers citing papers by V. Pallini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20079
2 200498
3 200314
4 200358
5 200315
6 200216
7 199915
8 199994
9 199715
10 199743
11 1997241
12 199661
13 19952
14 19955
15 19932
16 199211
17 19918
18 19917
19
Induction of tryptophan pyrrolase in the liver of nicotinamide treated rats.
19651
20
Nicotinamide deamidase and synthesis of nicotinamideadenine-dinucleotide in avian liver.
19651

About V. Pallini

V. Pallini is a scholar working on Aging, Microbiology, Reproductive Medicine, Physiology and Cell Biology, having authored 77 papers that have together received 2.3k indexed citations. Recurring topics across this work include Sperm and Testicular Function (8 papers), Reproductive tract infections research (6 papers), Silk-based biomaterials and applications (5 papers), Advanced Proteomics Techniques and Applications (5 papers), Skin and Cellular Biology Research (5 papers), Lipid Membrane Structure and Behavior (5 papers), RNA and protein synthesis mechanisms (4 papers) and Mitochondrial Function and Pathology (4 papers). The work is most often cited by research in Microbiology (155 citations), Reproductive Medicine (211 citations), Aging (42 citations), Cell Biology (290 citations) and Molecular Biology (1.1k citations). V. Pallini has collaborated with scholars based in Italy, Finland and Germany. Frequent co-authors include Luca Bini, Barbara Magi, B. Baccetti, Sabrina Liberatori, A. G. Burrini, Barbara Marzocchi, Roberto Raggiaschi, Paola Rottoli, Romano Dallai and Marcella Cintorino. Their work appears in journals such as Electrophoresis, PROTEOMICS, The Journal of Cell Biology, Biochemical and Biophysical Research Communications and Proceedings of the National Academy of Sciences.

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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