Ramin Rad

11.7k total citations · 4 hit papers
18 papers, 5.4k citations indexed

About

Ramin Rad is a scholar working on Molecular Biology, Spectroscopy and Oncology. According to data from OpenAlex, Ramin Rad has authored 18 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 16 papers in Spectroscopy and 1 paper in Oncology. Recurrent topics in Ramin Rad's work include Advanced Proteomics Techniques and Applications (16 papers), Mass Spectrometry Techniques and Applications (15 papers) and Metabolomics and Mass Spectrometry Studies (9 papers). Ramin Rad is often cited by papers focused on Advanced Proteomics Techniques and Applications (16 papers), Mass Spectrometry Techniques and Applications (15 papers) and Metabolomics and Mass Spectrometry Studies (9 papers). Ramin Rad collaborates with scholars based in United States. Ramin Rad's co-authors include Steven P. Gygi, Wilhelm Haas, Edward L. Huttlin, Mark P. Jedrychowski, Mathew E. Sowa, Lily Ting, David P. Nusinow, Sean A. Beausoleil, Judit Villén and Joshua E. Elias and has published in prestigious journals such as Cell, Nature Biotechnology and Molecular Cell.

In The Last Decade

Ramin Rad

18 papers receiving 5.3k citations

Hit Papers

A Tissue-Specific Atlas of Mouse Protein Phosphorylation ... 2010 2026 2015 2020 2010 2011 2014 2011 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ramin Rad United States 14 4.4k 1.9k 804 646 448 18 5.4k
Dan Bach Kristensen Japan 13 3.9k 0.9× 2.5k 1.3× 816 1.0× 389 0.6× 346 0.8× 19 5.3k
David Schieltz United States 29 5.7k 1.3× 2.6k 1.3× 718 0.9× 441 0.7× 317 0.7× 49 7.3k
Paul J. Boersema Netherlands 28 3.7k 0.8× 1.9k 1.0× 539 0.7× 374 0.6× 168 0.4× 34 4.9k
Sean A. Beausoleil United States 25 7.3k 1.7× 2.9k 1.5× 1.5k 1.8× 1.0k 1.6× 813 1.8× 30 9.0k
Teck Yew Low Malaysia 33 3.9k 0.9× 813 0.4× 517 0.6× 1.1k 1.7× 235 0.5× 88 5.6k
Johannes Graumann Germany 36 4.0k 0.9× 575 0.3× 902 1.1× 521 0.8× 602 1.3× 105 5.4k
Young‐Ki Paik South Korea 40 3.1k 0.7× 964 0.5× 291 0.4× 475 0.7× 251 0.6× 159 5.2k
Peter Hornbeck United States 22 4.7k 1.1× 856 0.4× 854 1.1× 761 1.2× 263 0.6× 42 6.1k
Oliver Rinner Switzerland 30 4.5k 1.0× 2.7k 1.4× 835 1.0× 260 0.4× 161 0.4× 40 5.9k
Ailan Guo United States 37 5.9k 1.4× 907 0.5× 873 1.1× 1.7k 2.7× 516 1.2× 49 8.0k

Countries citing papers authored by Ramin Rad

Since Specialization
Citations

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

Fields of papers citing papers by Ramin Rad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramin Rad

This figure shows the co-authorship network connecting the top 25 collaborators of Ramin Rad. A scholar is included among the top collaborators of Ramin Rad based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ramin Rad. Ramin Rad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Gassaway, Brandon M., Jiaming Li, Ramin Rad, et al.. (2022). A multi-purpose, regenerable, proteome-scale, human phosphoserine resource for phosphoproteomics. Nature Methods. 19(11). 1371–1375. 23 indexed citations
2.
O’Brien, Jonathon J., et al.. (2022). Conditional Fragment Ion Probabilities Improve Database Searching for Nonmonoisotopic Precursors. Journal of Proteome Research. 22(2). 334–342. 3 indexed citations
3.
Navarrete-Perea, José, Xinyue Liu, Ramin Rad, et al.. (2021). Assessing interference in isobaric tag‐based sample multiplexing using an 18‐plex interference standard. PROTEOMICS. 22(7). e2100317–e2100317. 9 indexed citations
4.
Schweppe, Devin K., Jimmy K. Eng, Qing Yu, et al.. (2020). Full-Featured, Real-Time Database Searching Platform Enables Fast and Accurate Multiplexed Quantitative Proteomics. Journal of Proteome Research. 19(5). 2026–2034. 177 indexed citations
5.
Gygi, Jeremy P., et al.. (2020). A Triple Knockout Isobaric-Labeling Quality Control Platform with an Integrated Online Database Search. Journal of the American Society for Mass Spectrometry. 31(7). 1344–1349. 14 indexed citations
6.
Erickson, Brian K., Devin K. Schweppe, Qing Yu, et al.. (2020). Parallel Notched Gas-Phase Enrichment for Improved Proteome Identification and Quantification with Fast Spectral Acquisition Rates. Journal of Proteome Research. 19(7). 2750–2757. 2 indexed citations
7.
Rad, Ramin, Jiaming Li, Julian Mintseris, et al.. (2020). Improved Monoisotopic Mass Estimation for Deeper Proteome Coverage. Journal of Proteome Research. 20(1). 591–598. 63 indexed citations
8.
Schweppe, Devin K., Satendra Prasad, Michael W. Belford, et al.. (2019). Characterization and Optimization of Multiplexed Quantitative Analyses Using High-Field Asymmetric-Waveform Ion Mobility Mass Spectrometry. Analytical Chemistry. 91(6). 4010–4016. 146 indexed citations
9.
Gygi, Jeremy P., Qing Yu, José Navarrete-Perea, et al.. (2018). Web-Based Search Tool for Visualizing Instrument Performance Using the Triple Knockout (TKO) Proteome Standard. Journal of Proteome Research. 18(2). 687–693. 31 indexed citations
10.
Chick, Joel M., Deepak Kolippakkam, David P. Nusinow, et al.. (2015). A mass-tolerant database search identifies a large proportion of unassigned spectra in shotgun proteomics as modified peptides. Nature Biotechnology. 33(7). 743–749. 317 indexed citations
11.
Braun, Craig R., Gregory H. Bird, Martin Wühr, et al.. (2015). Generation of Multiple Reporter Ions from a Single Isobaric Reagent Increases Multiplexing Capacity for Quantitative Proteomics. Analytical Chemistry. 87(19). 9855–9863. 39 indexed citations
12.
McAlister, Graeme C., David P. Nusinow, Mark P. Jedrychowski, et al.. (2014). MultiNotch MS3 Enables Accurate, Sensitive, and Multiplexed Detection of Differential Expression across Cancer Cell Line Proteomes. Analytical Chemistry. 86(14). 7150–7158. 896 indexed citations breakdown →
13.
Wühr, Martin, Wilhelm Haas, Graeme C. McAlister, et al.. (2012). Accurate Multiplexed Proteomics at the MS2 Level Using the Complement Reporter Ion Cluster. Analytical Chemistry. 84(21). 9214–9221. 119 indexed citations
14.
Ting, Lily, Ramin Rad, Steven P. Gygi, & Wilhelm Haas. (2011). MS3 eliminates ratio distortion in isobaric multiplexed quantitative proteomics. Nature Methods. 8(11). 937–940. 769 indexed citations breakdown →
15.
Kim, Woong, Eric J. Bennett, Edward L. Huttlin, et al.. (2011). Systematic and Quantitative Assessment of the Ubiquitin-Modified Proteome. Molecular Cell. 44(2). 325–340. 1287 indexed citations breakdown →
16.
Jedrychowski, Mark P., Edward L. Huttlin, Wilhelm Haas, et al.. (2011). Evaluation of HCD- and CID-type Fragmentation Within Their Respective Detection Platforms For Murine Phosphoproteomics. Molecular & Cellular Proteomics. 10(12). M111.009910–M111.009910. 145 indexed citations
17.
Huttlin, Edward L., Mark P. Jedrychowski, Joshua E. Elias, et al.. (2010). A Tissue-Specific Atlas of Mouse Protein Phosphorylation and Expression. Cell. 143(7). 1174–1189. 1330 indexed citations breakdown →
18.
Atanelov, Levan, Qiang Xu, Ramin Rad, & Christopher H. T. Lee. (2005). Targeting alternatively spliced sequence features for cancer diagnosis and therapeutics. Journal of Gastroenterology. 40(S16). 14–20. 3 indexed citations

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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