E Morán

3.7k citations
53 papers · 3.3k · h-index 28

Impact in

  • Genetics top 1%
    • Virus-based gene therapy research
  • Oncology top 2%
    • Cancer-related Molecular Pathways
    • CAR-T cell therapy research

Papers in

    • Virus-based gene therapy research 20
    • RNA Interference and Gene Delivery 7
    • Viral Infectious Diseases and Gene Expression in Insects 6

E Morán

51 papers receiving 3.2k citations

Peers

E Morán
Comparison fields: 5 of 109
  • Genetics 1.4k
  • Oncology 1.1k
  • Immunology 645
  • Molecular Biology 1.9k
  • Cancer Research 255
Replace Brian Champion with:
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Fumiichiro Yamamoto United States
Alan McClelland United States
Ramila Philip United States
Paola Massimi Italy
Masuo Yutsudo Japan
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E Morán relative to Brian Champion United Kingdom Brian Champion's profile →
Citations per field
00.5×1.5×2.1×
Brian Champion · 1×
Citations per year

Countries citing papers authored by E Morán

Since Specialization
Citations

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

Fields of papers citing papers by E Morán

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995278
2 1993242
3 1990226
4 1986214
5 2007166
6 1987166
7 1991146
8 2009138
9 2005133
10 1986129
11
p300, and p300-associated proteins, are components of TATA-binding protein (TBP) complexes.
1993115
12 1991100
13 199195
14 199189
15 199785
16 199274
17 201572
18 199270
19 199663
20 199557

About E Morán

E Morán is a scholar working on Genetics, Molecular Biology, Oncology, Immunology and Epidemiology, having authored 53 papers that have together received 3.3k indexed citations. Recurring topics across this work include Virus-based gene therapy research (20 papers), RNA Interference and Gene Delivery (7 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers), interferon and immune responses (5 papers), Cancer-related Molecular Pathways (4 papers), Herpesvirus Infections and Treatments (3 papers), CAR-T cell therapy research (3 papers) and Immunodeficiency and Autoimmune Disorders (3 papers). The work is most often cited by research in Genetics (1.4k citations), Oncology (1.1k citations), Immunology (645 citations), Molecular Biology (1.9k citations) and Cancer Research (255 citations). E Morán has collaborated with scholars based in United States, Ireland and Australia. Frequent co-authors include Peter Yaciuk, Brad Zerler, Michael B. Mathews, Yoshiyuki Rikitake, Selvajothi Abraham, Richard J. Roberts, Hongjie Wang, Timothy M. Harrison, Virginia B. Kraus and Joseph R. Nevins. Their work appears in journals such as Molecular and Cellular Biology, Journal of Virology, Respiratory Care, Genes & Development and CHEST Journal.

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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