Steven A. Carr
- Spectroscopy top 0.01%
- Advanced Proteomics Techniques and Applications 102
- Mass Spectrometry Techniques and Applications 86
- Molecular Biology top 0.02%
- Glycosylation and Glycoproteins Research 32
- Metabolomics and Mass Spectrometry Studies 25
- Ubiquitin and proteasome pathways 25
- RNA modifications and cancer 20
- Cell Biology top 0.05%
- Biotin and Related Studies 21
- Cancer Research top 0.2%
- Oncology top 0.2%
-
- Monoclonal and Polyclonal Antibodies Research 21
- Co-authors
- Namrata D. UdeshiMichael A. GilletteKarl R. ClauserRoland S. AnnanAlice Y. TingMichael J. HuddlestonD.R. ManiTanya Svinkina
- Journals
- Molecular & Cellular Proteomics (40 papers)Journal of Biological Chemistry (19 papers)Analytical Chemistry (15 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Steven A. Carr
361 papers receiving 43.4k citations
Hit Papers
Peers
Comparison fields: 5 of 191
- Spectroscopy 9.2k
- Molecular Biology 31.7k
- Cell Biology 6.3k
- Cancer Research 4.0k
- Oncology 5.4k
Countries citing papers authored by Steven A. Carr
This map shows the geographic impact of Steven A. Carr'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 Steven A. Carr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven A. Carr more than expected).
Fields of papers citing papers by Steven A. Carr
This network shows the impact of papers produced by Steven A. Carr. 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 Steven A. Carr. The network helps show where Steven A. Carr may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Steven A. Carr, 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 | 2023 | 57 | |
| 2 | 2022 | 17 | |
| 3 | 2021 | 6 | |
| 4 | 2020 | 90 | |
| 5 | 2020 | 13 | |
| 6 | 2020 | 120 | |
| 7 | 2020 | 209 | |
| 8 | 2019 | 44 | |
| 9 | 2019 | 12 | |
| 10 | 2017 | 29 | |
| 11 | 2016 | 30 | |
| 12 | 2015 | 333 | |
| 13 | 2015 | 117 | |
| 14 | 2014 | 168 | |
| 15 | Lenalidomide Causes Selective Degradation of IKZF1 and IKZF3 in Multiple Myeloma Cellsbreakdown → | 2013 | 1288 |
| 16 | 2013 | 46 | |
| 17 | 2013 | 215 | |
| 18 | 2010 | 57 | |
| 19 | 2009 | 237 | |
| 20 | 2001 | 117 |
About Steven A. Carr
Steven A. Carr is a scholar working on Spectroscopy, Molecular Biology and Cell Biology, having authored 372 papers that have together received 44.4k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (102 papers), Mass Spectrometry Techniques and Applications (86 papers), Glycosylation and Glycoproteins Research (32 papers), Metabolomics and Mass Spectrometry Studies (25 papers), Ubiquitin and proteasome pathways (25 papers), Biotin and Related Studies (21 papers), Monoclonal and Polyclonal Antibodies Research (21 papers) and RNA modifications and cancer (20 papers). The work is most often cited by research in Spectroscopy (9.2k citations), Molecular Biology (31.7k citations) and Cell Biology (6.3k citations). Steven A. Carr has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Namrata D. Udeshi, Michael A. Gillette, Karl R. Clauser, Roland S. Annan, Alice Y. Ting, Michael J. Huddleston, D.R. Mani, Tanya Svinkina, Vamsi K. Mootha and Nader Rifai. Their work appears in journals such as Molecular & Cellular Proteomics, Journal of Biological Chemistry, Analytical Chemistry, Blood and Journal of Proteome Research.
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.