N Riedel

728 citations
16 papers · 629 · h-index 12

Impact in

Papers in

    • Nuclear Structure and Function 6
    • RNA and protein synthesis mechanisms 4
    • RNA Research and Splicing 2
    • T-cell and Retrovirus Studies 5

N Riedel

16 papers receiving 610 citations

Peers

N Riedel
Comparison fields: 5 of 59
  • Virology 226
  • Immunology 180
  • Genetics 221
  • Agronomy and Crop Science 68
  • Health, Toxicology and Mutagenesis 72
Replace Paz J. Luncsford with:
Paz J. Luncsford United States
J. S. Rhim United States
Joel Bresser United States
M R Green United States
Giuseppe Marzio Netherlands
Kumarasamypet M. Mohankumar India
Netty Santoso United States
Paul F. Szurek United States
J L Sabran United States
Randall K. Ribaudo United States
N Riedel relative to Paz J. Luncsford United States Paz J. Luncsford's profile →
Citations per field
00.5×6.2×
Paz J. Luncsford · 1×
Citations per year

Countries citing papers authored by N Riedel

Since Specialization
Citations

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

Fields of papers citing papers by N Riedel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 1988157
2 198693
3 199192
4 198864
5 198640
6 198439
7 198934
8 199029
9 198721
10 198718
11 198718
12 199011
13 20234
14
Pathogenic mechanisms of immunodeficiency syndrome and aplastic anemia induced by feline leukemia viruses.
19903
15 19953
16 19943

About N Riedel

N Riedel is a scholar working on Molecular Biology, Immunology, Genetics, Pathology and Forensic Medicine and Virology, having authored 16 papers that have together received 629 indexed citations. Recurring topics across this work include Nuclear Structure and Function (6 papers), T-cell and Retrovirus Studies (5 papers), RNA and protein synthesis mechanisms (4 papers), Virus-based gene therapy research (3 papers), HIV Research and Treatment (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Animal Disease Management and Epidemiology (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Virology (226 citations), Immunology (180 citations), Genetics (221 citations), Agronomy and Crop Science (68 citations) and Health, Toxicology and Mutagenesis (72 citations). N Riedel has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include James I. Mullins, Edward A. Hoover, H. Fasold, Vanessa M. Hirsch, P R Donahue, Julie Overbaugh, Gerald A. Beltz, Margery O. Nicolson, Peter W. Gasper and Eui‐Ju Choi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Inflammation Research, Biochemical Journal, Journal of Virology and Journal of Biological Chemistry.

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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