PC Marchisio

1.2k citations
23 papers · 1.0k · h-index 13

Impact in

Papers in

PC Marchisio

22 papers receiving 1.0k citations

Peers

PC Marchisio
Comparison fields: 5 of 72
  • Immunology and Allergy 411
  • Hematology 403
  • Cell Biology 194
  • Genetics 96
  • Oncology 235
Replace Ritsuo Nishiuchi with:
Ritsuo Nishiuchi Japan
SJ Shattil United States
Irving L. Weissman United States
P. W. Modderman Netherlands
Robert W. Shaffer United States
Anthea Messent United Kingdom
Ariel Boutaud United States
TE O'Toole United States
E Horst Netherlands
Mary M. Kleppel United States
PC Marchisio relative to Ritsuo Nishiuchi Japan Ritsuo Nishiuchi's profile →
Citations per field
00.5×1.5×
Ritsuo Nishiuchi · 1×
Citations per year

Countries citing papers authored by PC Marchisio

Since Specialization
Citations

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

Fields of papers citing papers by PC Marchisio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991198
2 1991178
3 1992117
4 198893
5 199074
6 198674
7
Endothelial cell motility, integrin receptor clustering, and microfilament organization are inhibited by agents that increase intracellular cAMP.
199070
8 198967
9 198844
10
Platelet-activating factor (PAF) induces the early tyrosine phosphorylation of focal adhesion kinase (p125FAK) in human endothelial cells.
199632
11 198926
12
Cell-cell and cell-matrix adhesion structures may influence the growth pattern of chronic lymphoid malignancies.
198922
13
Identification of multiple microtubule initiating sites in mouse neuroblastoma cells.
197914
14 19907
15 19896
16 19865
17 19925
18
Embryological development of metabolic systems in sympathetic ganglia.
19745
19 19882
20
Estrogen and tamoxifen induced cytoskeletal changes in breast cancer cells.
19852

About PC Marchisio

PC Marchisio is a scholar working on Hematology, Immunology and Allergy, Genetics, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 23 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (9 papers), Blood properties and coagulation (6 papers), Chronic Lymphocytic Leukemia Research (5 papers), Platelet Disorders and Treatments (5 papers), S100 Proteins and Annexins (4 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers), Protease and Inhibitor Mechanisms (3 papers) and HER2/EGFR in Cancer Research (3 papers). The work is most often cited by research in Immunology and Allergy (411 citations), Hematology (403 citations), Cell Biology (194 citations), Genetics (96 citations) and Oncology (235 citations). PC Marchisio has collaborated with scholars based in Italy. Frequent co-authors include Mirella Gáboli, Federico Caligaris‐Cappio, L Bergui, Elisabetta Dejana, Gianluca Gaïdano, Marco De Giorgi, Ottavio Cremona, Adriana Zanetti, G Conforti and Lucia R. Languino. Their work appears in journals such as Blood and PubMed.

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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