Manuela Cota

909 citations
15 papers · 777 · h-index 12

Impact in

  • Virology top 2%
    • HIV Research and Treatment
  • Immunology top 5%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • Immune Response and Inflammation

Papers in

    • Immune Cell Function and Interaction 9
    • T-cell and B-cell Immunology 4
    • HIV Research and Treatment 9

Manuela Cota

14 papers receiving 768 citations

Peers

Manuela Cota
Comparison fields: 5 of 75
  • Virology 310
  • Immunology 439
  • Hematology 90
  • Oncology 216
  • Neurology 56
Replace Renata Mazzucchelli with:
Renata Mazzucchelli Italy
Corinne Brunet France
Michelle Millington Australia
Maria V. D. Soares United Kingdom
Jeff Martinson United States
Claude Sportès United States
Jeffrey Lian United States
Cherry Kingsley United Kingdom
Céline Cognet France
John Y. Mak United States
Manuela Cota relative to Renata Mazzucchelli Italy Renata Mazzucchelli's profile →
Citations per field
00.5×1.5×2.4×
Renata Mazzucchelli · 1×
Citations per year

Countries citing papers authored by Manuela Cota

Since Specialization
Citations

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

Fields of papers citing papers by Manuela Cota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 1998206
2
Human CD34(+) cells express CXCR4 and its ligand stromal cell-derived factor-1. Implications for infection by T-cell tropic human immunodeficiency virus.
1999100
3 199994
4 199979
5 200065
6 200054
7 199951
8 199934
9 200033
10 201921
11 200119
12 199819
13 20251
14 20151
15 20250

About Manuela Cota

Manuela Cota is a scholar working on Immunology, Virology, Oncology, Molecular Biology and Epidemiology, having authored 15 papers that have together received 777 indexed citations. Recurring topics across this work include HIV Research and Treatment (9 papers), Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (4 papers), Cytomegalovirus and herpesvirus research (3 papers), Chemokine receptors and signaling (2 papers), Viral-associated cancers and disorders (2 papers), Signaling Pathways in Disease (1 paper) and Neuroinflammation and Neurodegeneration Mechanisms (1 paper). The work is most often cited by research in Virology (310 citations), Immunology (439 citations), Hematology (90 citations), Oncology (216 citations) and Neurology (56 citations). Manuela Cota has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Guido Poli, Elisa Vicenzi, Alberto Mantovani, Manuela Mengozzi, Priscilla Biswas, Silvano Sozzani, Sergio Bernasconi, Andrea Brambilla, Nadia Polentarutti and Fanny Delfanti. Their work appears in journals such as Blood, Molecular Therapy, The Journal of Immunology, Proceedings of the National Academy of Sciences and Cytokine.

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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