Manuela Moraru

1.2k citations
31 papers · 825 · h-index 15

Impact in

Papers in

    • Immune Cell Function and Interaction 20
    • T-cell and B-cell Immunology 18
    • Cytomegalovirus and herpesvirus research 8

Manuela Moraru

30 papers receiving 813 citations

Peers

Manuela Moraru
Comparison fields: 5 of 95
  • Neuropsychology and Physiological Psychology 50
  • Immunology 590
  • Life-span and Life-course Studies 12
  • Epidemiology 293
  • Virology 35
Replace Davide Valentini with:
Davide Valentini Sweden
Bei Wang United States
Andrew McLarnon United Kingdom
Rosario de Pablo Spain
Achim K. Moesta United States
Lies Boelen United Kingdom
Neda Nemat‐Gorgani United States
Lauren A. Chang United States
Jakob Theorell Sweden
Luchino Chessa Italy
Manuela Moraru relative to Davide Valentini Sweden Davide Valentini's profile →
Citations per field
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Davide Valentini · 1×
Citations per year

Countries citing papers authored by Manuela Moraru

Since Specialization
Citations

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

Fields of papers citing papers by Manuela Moraru

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201591
2 201275
3 201374
4 201271
5 201661
6 200861
7 201559
8 201242
9 201339
10 201238
11 200937
12 201937
13 202025
14 201625
15 202014
16 201211
17 20149
18 20147
19 20136
20 20126

About Manuela Moraru

Manuela Moraru is a scholar working on Immunology, Epidemiology, Molecular Biology, Oncology and Genetics, having authored 31 papers that have together received 825 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (20 papers), T-cell and B-cell Immunology (18 papers), Cytomegalovirus and herpesvirus research (8 papers), Chronic Lymphocytic Leukemia Research (3 papers), CAR-T cell therapy research (3 papers), Glycosylation and Glycoproteins Research (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers) and Lymphoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (50 citations), Immunology (590 citations), Life-span and Life-course Studies (12 citations), Epidemiology (293 citations) and Virology (35 citations). Manuela Moraru has collaborated with scholars based in Spain, Switzerland and United Kingdom. Frequent co-authors include Carlos Vilches, Miguel López‐Botet, Aura Muntasell, Elisa Cisneros, Andrea Vera, Marcel Costa-García, Natalia Gómez‐Lozano, Rosario de Pablo, Francisca Portero and M. Carmen Cañizares. Their work appears in journals such as Frontiers in Immunology, The Journal of Immunology, HLA, European Journal of Immunology and Neural Development.

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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