Manuel Grez

11.2k citations
130 papers · 7.0k · 1 hit paper · h-index 45

Impact in

  • Virology top 0.5%
    • HIV Research and Treatment
  • Genetics top 0.5%
    • Virus-based gene therapy research

Papers in

    • CRISPR and Genetic Engineering 27
    • RNA Interference and Gene Delivery 23
    • Protein Degradation and Inhibitors 11
    • RNA and protein synthesis mechanisms 11
    • Virus-based gene therapy research 50
    • Animal Genetics and Reproduction 9

Manuel Grez

126 papers receiving 6.7k citations

Manuel Grez's Hit Papers

Genetic relationships determined by a DNA heteroduplex mobility assay: analysis of HIV-1 env genes 1993 · 708 citations
7080+11+22Years since publication200400600

Peers

Manuel Grez
Comparison fields: 5 of 128
  • Virology 949
  • Genetics 2.1k
  • Immunology 1.2k
  • Molecular Biology 3.8k
  • Oncology 1.3k
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Citations per field
00.5×1.5×
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Citations per year

Countries citing papers authored by Manuel Grez

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Grez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 130 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Genetic relationships determined by a DNA heteroduplex mobility assay: analysis of HIV-1 env genes
Hit paper breakdown →
1993708
2 2002412
3 1981347
4 1980254
5 2013235
6 2015207
7 1983197
8 2006192
9 1990174
10 1989171
11 2008164
12 2010147
13 1994135
14 1981133
15 2010122
16 2010119
17 2011116
18 201497
19 198792
20 200789

About Manuel Grez

Manuel Grez is a scholar working on Molecular Biology, Genetics, Oncology, Immunology and Hematology, having authored 130 papers that have together received 7.0k indexed citations. Recurring topics across this work include Virus-based gene therapy research (50 papers), CAR-T cell therapy research (27 papers), CRISPR and Genetic Engineering (27 papers), RNA Interference and Gene Delivery (23 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (12 papers), Protein Degradation and Inhibitors (11 papers), RNA and protein synthesis mechanisms (11 papers) and Animal Genetics and Reproduction (9 papers). The work is most often cited by research in Virology (949 citations), Genetics (2.1k citations), Immunology (1.2k citations), Molecular Biology (3.8k citations) and Oncology (1.3k citations). Manuel Grez has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Hartmut Land, Helga Rübsamen‐Waigmann, James I. Mullins, Eric Delwart, Günther Schütz, Adrian J. Thrasher, Axel Schambach, Joost Louwagie, Eugene G. Shpaer and Francine McCutchan. Their work appears in journals such as Blood, Molecular Therapy, Gene Therapy, Journal of Virology and Human Gene Therapy.

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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