Robert D. Nolan

558 citations
27 papers · 492 · h-index 14

Impact in

Papers in

    • RNA and protein synthesis mechanisms 15
    • RNA modifications and cancer 7
    • Chemical Synthesis and Analysis 4
    • RNA Research and Splicing 4
    • DNA and Nucleic Acid Chemistry 2
    • Microbial Natural Products and Biosynthesis 4

Robert D. Nolan

26 papers receiving 412 citations

Peers

Robert D. Nolan
Comparison fields: 5 of 71
  • Biotechnology 69
  • Pharmacology 100
  • Molecular Biology 334
  • Immunology 88
  • Microbiology 3
Replace Rolando Lorenzetti with:
Rolando Lorenzetti Italy
Richard M. Torczynski United States
Tsutomu Tsuruoka Japan
Ronald D. Eichner Australia
Koichiro Ootsu Japan
Jacob Lesniak United States
BETH R. FROMMER United States
Mi‐Na Oh South Korea
Kazuhiko Okamura United Kingdom
Jesús Vara Spain
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Citations per field
00.5×
Rolando Lorenzetti · 1×
Citations per year

Countries citing papers authored by Robert D. Nolan

Since Specialization
Citations

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

Fields of papers citing papers by Robert D. Nolan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert D. Nolan. 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 Robert D. Nolan. The network helps show where Robert D. Nolan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198890
2 197554
3 197151
4 197637
5 197425
6 197724
7 197624
8 197818
9 199316
10 196915
11 197415
12 197315
13 198315
14 197614
15 197713
16 197212
17 19758
18 19797
19 19797
20 19946

About Robert D. Nolan

Robert D. Nolan is a scholar working on Molecular Biology, Pharmacology, Organic Chemistry, Radiology, Nuclear Medicine and Imaging and Cell Biology, having authored 27 papers that have together received 492 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (15 papers), RNA modifications and cancer (7 papers), Chemical Synthesis and Analysis (4 papers), RNA Research and Splicing (4 papers), Microbial Natural Products and Biosynthesis (4 papers), Toxin Mechanisms and Immunotoxins (2 papers), DNA and Nucleic Acid Chemistry (2 papers) and Bacterial Genetics and Biotechnology (2 papers). The work is most often cited by research in Biotechnology (69 citations), Pharmacology (100 citations), Molecular Biology (334 citations), Immunology (88 citations) and Microbiology (3 citations). Robert D. Nolan has collaborated with scholars based in Austria, United Kingdom and United States. Frequent co-authors include Jürgen Drews, Hans Grasmuk, T. Cross, Mahlon B. Hoagland, Hamish N. Munro, H. R. V. Arnstein, Gregor Högenauer, A. Cornish, Michael E. Bushell and Michael J. Waring. Their work appears in journals such as European Journal of Biochemistry, FEBS Letters, Methods in enzymology on CD-ROM/Methods in enzymology, Journal of Antimicrobial Chemotherapy and Antimicrobial Agents and Chemotherapy.

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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