V. Pallini

2.9k citations
83 papers · 2.5k · h-index 29

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 5
    • Lipid Membrane Structure and Behavior 5
    • Skin and Cellular Biology Research 5

V. Pallini

83 papers receiving 2.4k citations

Peers

V. Pallini
Comparison fields: 5 of 111
  • Reproductive Medicine 229
  • Microbiology 161
  • Aging 41
  • Cell Biology 287
  • Molecular Biology 1.1k
Replace Luc Camoin with:
Luc Camoin France
Michael T. Overgaard Denmark
François Rougeon France
Julian Gordon United States
Yoshikazu Nakamura Japan
James S. Norris United States
Ann E. Cowan United States
Alexander Kurosky United States
Linda K. Johnson United States
Akemi Suzuki Japan
V. Pallini relative to Luc Camoin France Luc Camoin's profile →
Citations per field
00.5×1.5×
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-authors

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

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997245
2 2003129
3 2005129
4 2001109
5 2002105
6 1999102
7 200499
8 200594
9 197673
10 197664
11 199663
12 197961
13 200360
14
Expression of neurofilaments and of a titin epitope in thymic epithelial tumors. Implications for the pathogenesis of myasthenia gravis.
199652
15 200848
16 200247
17 199446
18 199643
19 199743
20 200443

About V. Pallini

V. Pallini is a scholar working on Molecular Biology, Cell Biology, Reproductive Medicine, Cellular and Molecular Neuroscience and Public Health, Environmental and Occupational Health, having authored 83 papers that have together received 2.5k indexed citations. Recurring topics across this work include Sperm and Testicular Function (9 papers), Reproductive tract infections research (6 papers), Advanced Proteomics Techniques and Applications (6 papers), Glycosylation and Glycoproteins Research (5 papers), Silk-based biomaterials and applications (5 papers), Skin and Cellular Biology Research (5 papers), Lipid Membrane Structure and Behavior (5 papers) and Reproductive Biology and Fertility (5 papers). The work is most often cited by research in Reproductive Medicine (229 citations), Microbiology (161 citations), Aging (41 citations), Cell Biology (287 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, B. Baccetti, Barbara Magi, 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 Andrologia.

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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