Anthony A. High
Impact in
Papers in
-
- Metabolomics and Mass Spectrometry Studies 8
- Ubiquitin and proteasome pathways 6
- Spectroscopy 15
- Advanced Proteomics Techniques and Applications 15
- Mass Spectrometry Techniques and Applications 11
- Co-authors
- Raghu Chitta (1 shared paper)Brian D. Freibaum (1 shared paper)J. Paul Taylor (1 shared paper)Hakan Çam (1 shared paper)John Easton (1 shared paper)Peter J. Houghton (1 shared paper)Junmin Peng (18 shared papers)Hans Häcker (6 shared papers)
- Journals
- Journal of Proteome Research (5 papers)Journal of Visualized Experiments (5 papers)Journal of Biological Chemistry (4 papers)Journal of Medicinal Chemistry (2 papers)Science Advances (2 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Anthony A. High
39 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 105
- Neurology 328
- Genetics 205
- Molecular Biology 1.2k
- Cancer Research 237
- Immunology 285
Countries citing papers authored by Anthony A. High
This map shows the geographic impact of Anthony A. High'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 Anthony A. High with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anthony A. High more than expected).
Fields of papers citing papers by Anthony A. High
This network shows the impact of papers produced by Anthony A. High. 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 Anthony A. High. The network helps show where Anthony A. High may publish in the future.
Co-authors
The 25 scholars most cited alongside Anthony A. High, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 388 | |
| 2 | 2010 | 212 | |
| 3 | 2019 | 103 | |
| 4 | 2013 | 102 | |
| 5 | 2017 | 82 | |
| 6 | 2016 | 81 | |
| 7 | 2011 | 80 | |
| 8 | 2008 | 63 | |
| 9 | 2014 | 52 | |
| 10 | 2015 | 42 | |
| 11 | 2004 | 42 | |
| 12 | 2004 | 41 | |
| 13 | 2011 | 38 | |
| 14 | 2003 | 37 | |
| 15 | 2006 | 37 | |
| 16 | 2015 | 36 | |
| 17 | 2006 | 36 | |
| 18 | 2014 | 31 | |
| 19 | 2013 | 29 | |
| 20 | 2004 | 29 |
About Anthony A. High
Anthony A. High is a scholar working on Molecular Biology, Spectroscopy, Immunology, Cell Biology and Epidemiology, having authored 44 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (15 papers), Mass Spectrometry Techniques and Applications (11 papers), Metabolomics and Mass Spectrometry Studies (8 papers), Ubiquitin and proteasome pathways (6 papers), Immune Cell Function and Interaction (4 papers), Microtubule and mitosis dynamics (4 papers), Immune Response and Inflammation (4 papers) and interferon and immune responses (3 papers). The work is most often cited by research in Neurology (328 citations), Genetics (205 citations), Molecular Biology (1.2k citations), Cancer Research (237 citations) and Immunology (285 citations). Anthony A. High has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Raghu Chitta, Brian D. Freibaum, J. Paul Taylor, Hakan Çam, John Easton, Peter J. Houghton, Junmin Peng, Hans Häcker, Vanessa Redecke and Ashutosh Mishra. Their work appears in journals such as Journal of Proteome Research, Journal of Visualized Experiments, Journal of Biological Chemistry, Journal of Medicinal Chemistry and Science Advances.
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.