Darryl Johnson

17 papers receiving 519 citations

Peers

Darryl Johnson
Comparison fields: 5 of 91
  • Cancer Research 72
  • Molecular Biology 284
  • Health, Toxicology and Mutagenesis 39
  • Clinical Biochemistry 19
  • Spectroscopy 44
Replace Takashi Yamoto with:
Takashi Yamoto Japan
Nigel B. Rendell United Kingdom
Ann Lampo Belgium
Wenying Sun China
Debjani Ghosh India
Mark G. Obukowicz United States
Ana Rossini Brazil
Xiulan Chen China
Hanlin Tao United States
Venkata Chandrasekhar Nainala United Kingdom
Darryl Johnson relative to Takashi Yamoto Japan Takashi Yamoto's profile →
Citations per field
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Citations per year

Countries citing papers authored by Darryl Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Darryl Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2010166
2 201471
3 201339
4 201431
5 201727
6 201426
7 201624
8 201524
9 201319
10 201216
11 198016
12 201616
13 201615
14 199312
15 201512
16 20168
17
HyRAM- Hydrogen Risk Assessment Models.
20153

About Darryl Johnson

Darryl Johnson is a scholar working on Molecular Biology, Plant Science, Pharmacology, Health, Toxicology and Mutagenesis and Food Science, having authored 17 papers that have together received 525 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (4 papers), Environmental Toxicology and Ecotoxicology (3 papers), Pesticide Exposure and Toxicity (3 papers), Trypanosoma species research and implications (2 papers), Pesticide Residue Analysis and Safety (2 papers), Helicobacter pylori-related gastroenterology studies (2 papers), Advanced Proteomics Techniques and Applications (2 papers) and Mass Spectrometry Techniques and Applications (2 papers). The work is most often cited by research in Cancer Research (72 citations), Molecular Biology (284 citations), Health, Toxicology and Mutagenesis (39 citations), Clinical Biochemistry (19 citations) and Spectroscopy (44 citations). Darryl Johnson has collaborated with scholars based in United States, Uganda and Netherlands. Frequent co-authors include Ron Orlando, Barry E. Boyes, Samantha L. Isenberg, Rudolph C. Johnson, Jerry D. Thomas, Melissa D. Carter, Leigh A. Graham, Thomas P. Mathews, Jian Suo and Paul N. Ulrich. Their work appears in journals such as Journal of Biomolecular Techniques JBT, Journal of Bacteriology, Analytical Chemistry, Journal of Mass Spectrometry and Archives of Biochemistry and Biophysics.

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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