Manuel Rieber

943 citations
70 papers · 734 · h-index 16

Impact in

Papers in

    • RNA Interference and Gene Delivery 10
    • Ubiquitin and proteasome pathways 6
    • Glycosylation and Glycoproteins Research 6
    • Cell death mechanisms and regulation 6
    • Cancer-related Molecular Pathways 18

Manuel Rieber

66 papers receiving 702 citations

Peers

Manuel Rieber
Comparison fields: 5 of 87
  • Cancer Research 147
  • Immunology and Allergy 57
  • Oncology 210
  • Biotechnology 55
  • Molecular Biology 423
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Citations per field
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Citations per year

Countries citing papers authored by Manuel Rieber

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Rieber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Manuel Rieber, 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 Manuel Rieber Line = papers co-authored together Manuel Rieber links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200842
2 199841
3 200541
4 198141
5 200535
6 200327
7 202026
8 201226
9 200425
10 201524
11 200021
12 200920
13 197420
14 198917
15 201416
16 201115
17 201915
18
Cyclin-dependent kinase 2 and cyclin A interaction with E2F are targets for tyrosine induction of B16 melanoma terminal differentiation.
199415
19 199813
20
Transformation-dependent modifications in released and cell-bound surface proteins detected by antisera to shed antigens.
197612

About Manuel Rieber

Manuel Rieber is a scholar working on Molecular Biology, Oncology, Cell Biology, Immunology and Allergy and Biotechnology, having authored 70 papers that have together received 734 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (18 papers), RNA Interference and Gene Delivery (10 papers), Cell Adhesion Molecules Research (10 papers), Cancer Research and Treatments (9 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Ubiquitin and proteasome pathways (6 papers), Glycosylation and Glycoproteins Research (6 papers) and Cell death mechanisms and regulation (6 papers). The work is most often cited by research in Cancer Research (147 citations), Immunology and Allergy (57 citations), Oncology (210 citations), Biotechnology (55 citations) and Molecular Biology (423 citations). Manuel Rieber has collaborated with scholars based in Venezuela, Ireland and United States. Frequent co-authors include M. Rieber, Ana M. Mendes‐Pereira, T Imaeda, Roberto A. Sánchez‐Delgado, Egidio Romano, Atilio Anzellotti, Renée Lira, J. D. Medina, Italo M. Cesari and Luis Alberto Gómez. Their work appears in journals such as International Journal of Cancer, Biochemical and Biophysical Research Communications, Cancer Biology & Therapy, DNA and Cell Biology and Biochemical Pharmacology.

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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