Chad Nelson

1.9k citations
34 papers · 1.5k · h-index 23

Impact in

    • Mass Spectrometry Techniques and Applications
    • Analytical Chemistry and Chromatography
  • Toxicology top 5%

Papers in

    • RNA and protein synthesis mechanisms 8
    • RNA modifications and cancer 5
    • DNA and Nucleic Acid Chemistry 3
    • Mass Spectrometry Techniques and Applications 5
    • Analytical Chemistry and Chromatography 3

Chad Nelson

33 papers receiving 1.4k citations

Peers

Chad Nelson
Comparison fields: 5 of 123
  • Spectroscopy 254
  • Toxicology 51
  • Molecular Biology 879
  • Virology 46
  • Organic Chemistry 243
Replace Kevin J. Lumb with:
Kevin J. Lumb United States
Palle Jakobsen Denmark
Viviana Monje‐Galvan United States
Chiaki Nishimura Japan
Dhilon S. Patel United States
Mark S. Hixon United States
Satoko Yoshizawa France
Joshua S. Sharp United States
Stéphane Canaan France
Grzegorz Bujacz Poland
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Citations per field
00.5×1.6×
Kevin J. Lumb · 1×
Citations per year

Countries citing papers authored by Chad Nelson

Since Specialization
Citations

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

Fields of papers citing papers by Chad Nelson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985109
2 200795
3 201694
4 200685
5 199277
6 201576
7 201076
8 198476
9 198874
10 199273
11 200073
12 201267
13 200161
14 199458
15 200054
16 199253
17 199239
18 199334
19 201234
20 201328

About Chad Nelson

Chad Nelson is a scholar working on Molecular Biology, Spectroscopy, Ecology, Organic Chemistry and Rheumatology, having authored 34 papers that have together received 1.5k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (8 papers), Bacteriophages and microbial interactions (6 papers), RNA modifications and cancer (5 papers), Mass Spectrometry Techniques and Applications (5 papers), Analytical Chemistry and Chromatography (3 papers), Carbohydrate Chemistry and Synthesis (3 papers), DNA and Nucleic Acid Chemistry (3 papers) and Psychedelics and Drug Studies (2 papers). The work is most often cited by research in Spectroscopy (254 citations), Toxicology (51 citations), Molecular Biology (879 citations), Virology (46 citations) and Organic Chemistry (243 citations). Chad Nelson has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include James A. McCloskey, John F. Atkins, Norma M. Wills, Rodger L. Foltz, Krishna Parsawar, Raymond F. Gesteland, Kiyoshi Isono, Makoto Ubukata, Ken-ichi Kimura and Satinder K. Sethi. Their work appears in journals such as Journal of Molecular Biology, Journal of the American Chemical Society, Analytical Chemistry, HortTechnology and The EMBO 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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