Joshua E. Elias
- Spectroscopy top 0.05%
- Advanced Proteomics Techniques and Applications 26
- Mass Spectrometry Techniques and Applications 14
- Molecular Biology top 0.2%
- Metabolomics and Mass Spectrometry Studies 15
- Ubiquitin and proteasome pathways 12
- Gut microbiota and health 11
- vaccines and immunoinformatics approaches 10
- Cell Biology top 0.5%
- Aging top 2%
- Oncology top 1%
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- Immunotherapy and Immune Responses 8
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- Monoclonal and Polyclonal Antibodies Research 8
- Co-authors
- Steven P. GygiJunmin PengCarson C. ThoreenWilhelm HaasSean A. BeausoleilJudit VillénDaniel SchwartzLarry Licklider
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Joshua E. Elias
97 papers receiving 16.1k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Spectroscopy 4.6k
- Molecular Biology 12.2k
- Cell Biology 1.8k
- Aging 118
- Oncology 1.7k
Countries citing papers authored by Joshua E. Elias
This map shows the geographic impact of Joshua E. Elias'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 Joshua E. Elias with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joshua E. Elias more than expected).
Fields of papers citing papers by Joshua E. Elias
This network shows the impact of papers produced by Joshua E. Elias. 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 Joshua E. Elias. The network helps show where Joshua E. Elias may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Joshua E. Elias, 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 | 2025 | 2 | |
| 2 | 2023 | 4 | |
| 3 | 2022 | 29 | |
| 4 | 2021 | 43 | |
| 5 | 2021 | 45 | |
| 6 | Gut-microbiota-targeted diets modulate human immune statusbreakdown → | 2021 | 790 |
| 7 | 2020 | 28 | |
| 8 | 2019 | 130 | |
| 9 | 2019 | 4 | |
| 10 | 2019 | 209 | |
| 11 | 2018 | 20 | |
| 12 | 2017 | 3 | |
| 13 | 2016 | 72 | |
| 14 | 2014 | 24 | |
| 15 | 2014 | 17 | |
| 16 | 2014 | 28 | |
| 17 | 2006 | 233 | |
| 18 | Comparative evaluation of mass spectrometry platforms used in large-scale proteomics investigationsbreakdown → | 2005 | 590 |
| 19 | Large-scale characterization of HeLa cell nuclear phosphoproteinsbreakdown → | 2004 | 1190 |
| 20 | A proteomics approach to understanding protein ubiquitinationbreakdown → | 2003 | 1302 |
About Joshua E. Elias
Joshua E. Elias is a scholar working on Spectroscopy, Aging and Molecular Biology, having authored 97 papers that have together received 16.3k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (26 papers), Metabolomics and Mass Spectrometry Studies (15 papers), Mass Spectrometry Techniques and Applications (14 papers), Ubiquitin and proteasome pathways (12 papers), Gut microbiota and health (11 papers), vaccines and immunoinformatics approaches (10 papers), Immunotherapy and Immune Responses (8 papers) and Monoclonal and Polyclonal Antibodies Research (8 papers). The work is most often cited by research in Spectroscopy (4.6k citations), Molecular Biology (12.2k citations) and Cell Biology (1.8k citations). Joshua E. Elias has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Steven P. Gygi, Junmin Peng, Carson C. Thoreen, Wilhelm Haas, Sean A. Beausoleil, Judit Villén, Daniel Schwartz, Larry Licklider, Mark P. Jedrychowski and Brendan K. Faherty. Their work appears in journals such as Nature, Science and Cell.
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.