Nathan A. Siegfried

1.5k citations
17 papers · 1.0k indexed · 1 hit paper · h-index 11
Topics
RNA and protein synthesis mechanisms (11 papers)DNA and Nucleic Acid Chemistry (6 papers)RNA modifications and cancer (5 papers)
Partner nations
United StatesPoland

In The Last Decade

Nathan A. Siegfried

17 papers receiving 1.0k citations

Hit Papers

RNA motif discovery by SHAPE and mutational profiling (SH...20142026201820222014100200300400

Peers

Nathan A. Siegfried
Comparison fields: 5 of 70
  • Molecular Biology 939
  • Cancer Research 146
  • Infectious Diseases 58
  • Cardiology and Cardiovascular Medicine 57
  • Ecology 56
Replace Jennifer L. McGinnis with:
Jennifer L. McGinnis United States
Matthew J. Smola United States
Carla A. Theimer United States
Hans‐Peter Grunert Germany
Lionel Imbert France
Vidya Dhote United States
Mark A. Boerneke United States
Mekbib Astatke United States
Elisabetta Viani Puglisi United States
Chandran Nithin Poland
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Citations per field
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Citations per year

Countries citing papers authored by Nathan A. Siegfried

Since Specialization
Citations

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

Fields of papers citing papers by Nathan A. Siegfried

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathan A. Siegfried. 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 Nathan A. Siegfried. The network helps show where Nathan A. Siegfried may publish in the future.

Co-authorship network of co-authors of Nathan A. Siegfried

This figure shows the co-authorship network connecting the top 25 collaborators of Nathan A. Siegfried. A scholar is included among the top collaborators of Nathan A. Siegfried based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nathan A. Siegfried. Nathan A. Siegfried is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 13
2 12
3 2
4 10
5 273
6
RNA motif discovery by SHAPE and mutational profiling (SHAPE-MaP)breakdown →
456
7 43
8 4
9 25
10 6
11 46
12 32
13 22
14
Folding Cooperativity and Its Influence on pKa Shifting in Nucleic Acids
1
15 40
16 3
17 39

About Nathan A. Siegfried

Nathan A. Siegfried is a scholar working on Biological Psychiatry, Molecular Biology and Psychiatry and Mental health, having authored 17 papers that have together received 1.0k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (11 papers), DNA and Nucleic Acid Chemistry (6 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Molecular Biology (939 citations), Cancer Research (146 citations) and Virology (20 citations). Nathan A. Siegfried has collaborated with scholars based in United States and Poland. Frequent co-authors include Kevin M. Weeks, Steven Busan, Greggory M. Rice, Julie A. Nelson, Philip C. Bevilacqua, Matthew J. Smola, Bernie O’Hare, David Mauger, Shana Metzger and Ryszard Kierzek. Their work appears in journals such as Journal of the American Chemical Society, Analytical Chemistry and Biochemistry.

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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