Jonathan H. Young
Impact in
- Spectroscopy top 5%
- Mass Spectrometry Techniques and Applications
- Advanced Proteomics Techniques and Applications
- Analytical Chemistry and Chromatography
- Biophysics top 10%
Papers in
-
- Fungal and yeast genetics research 2
- Metabolomics and Mass Spectrometry Studies 2
- Bioinformatics and Genomic Networks 2
- Gene expression and cancer classification 1
- Oncology 3
- Co-authors
- Lívia S. Eberlin (3 shared papers)Jialing Zhang (3 shared papers)Jinsong Liu (2 shared papers)Marta Sans (2 shared papers)Edward M. Marcotte (3 shared papers)Chandandeep Nagi (2 shared papers)Kyana Y. Garza (2 shared papers)John Q. Lin (2 shared papers)
- Journals
- G3 Genes Genomes Genetics (2 papers)Bioinformatics (1 paper)Briefings in Functional Genomics (1 paper)Oncotarget (1 paper)Analytical Chemistry (1 paper)
- Partner nations
- United StatesBrazilGermany
In The Last Decade
Jonathan H. Young
13 papers receiving 681 citations
Peers
Comparison fields: 5 of 94
- Spectroscopy 310
- Biophysics 36
- Molecular Biology 372
- Analytical Chemistry 39
- Cancer Research 43
Countries citing papers authored by Jonathan H. Young
This map shows the geographic impact of Jonathan H. Young'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 Jonathan H. Young with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan H. Young more than expected).
Fields of papers citing papers by Jonathan H. Young
This network shows the impact of papers produced by Jonathan H. Young. 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 Jonathan H. Young. The network helps show where Jonathan H. Young may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan H. Young, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 306 | |
| 2 | 2017 | 99 | |
| 3 | 2018 | 73 | |
| 4 | 2015 | 70 | |
| 5 | 2011 | 56 | |
| 6 | 2010 | 16 | |
| 7 | 2019 | 14 | |
| 8 | 2022 | 14 | |
| 9 | 2019 | 14 | |
| 10 | 2016 | 10 | |
| 11 | 2017 | 8 | |
| 12 | 2022 | 6 | |
| 13 | 2025 | 4 | |
| 14 | 2025 | 0 | |
| 15 | 2021 | 0 |
About Jonathan H. Young
Jonathan H. Young is a scholar working on Molecular Biology, Oncology, Spectroscopy, Epidemiology and Genetics, having authored 15 papers that have together received 690 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (3 papers), Mass Spectrometry Techniques and Applications (3 papers), Fungal and yeast genetics research (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Bioinformatics and Genomic Networks (2 papers), Cancer Genomics and Diagnostics (1 paper), Gene expression and cancer classification (1 paper) and Obstructive Sleep Apnea Research (1 paper). The work is most often cited by research in Spectroscopy (310 citations), Biophysics (36 citations), Molecular Biology (372 citations), Analytical Chemistry (39 citations) and Cancer Research (43 citations). Jonathan H. Young has collaborated with scholars based in United States, Brazil and Germany. Frequent co-authors include Lívia S. Eberlin, Jialing Zhang, Jinsong Liu, Marta Sans, Edward M. Marcotte, Chandandeep Nagi, Kyana Y. Garza, John Q. Lin, Aashiq H. Kachroo and Jon M. Laurent. Their work appears in journals such as G3 Genes Genomes Genetics, Bioinformatics, Briefings in Functional Genomics, Oncotarget and Analytical 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.