D.R. Mani
Impact in
- Spectroscopy top 0.05%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Cancer Research top 0.5%
- Cancer Genomics and Diagnostics
Papers in
- Spectroscopy 44
- Advanced Proteomics Techniques and Applications 43
- Mass Spectrometry Techniques and Applications 20
-
- Ubiquitin and proteasome pathways 15
- Protein Degradation and Inhibitors 9
- Metabolomics and Mass Spectrometry Studies 9
- RNA modifications and cancer 8
- Co-authors
- Steven A. Carr (36 shared papers)Karl R. Clauser (14 shared papers)Michael A. Gillette (11 shared papers)Hasmik Keshishian (10 shared papers)Philipp Mertins (7 shared papers)Namrata D. Udeshi (10 shared papers)Michael W. Burgess (7 shared papers)Eric W. Kuhn (7 shared papers)
- Journals
- Molecular & Cellular Proteomics (17 papers)Cell (16 papers)Cancer Cell (9 papers)Nature Communications (7 papers)Nature Biotechnology (5 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
D.R. Mani
104 papers receiving 17.4k citations
D.R. Mani's Hit Papers
Peers
Comparison fields: 5 of 180
- Spectroscopy 5.0k
- Cancer Research 2.8k
- Molecular Biology 10.9k
- Oncology 2.8k
- Genetics 848
Countries citing papers authored by D.R. Mani
This map shows the geographic impact of D.R. Mani'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 D.R. Mani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D.R. Mani more than expected).
Fields of papers citing papers by D.R. Mani
This network shows the impact of papers produced by D.R. Mani. 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 D.R. Mani. The network helps show where D.R. Mani may publish in the future.
Co-authors
The 25 scholars most cited alongside D.R. Mani, 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 109 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Proteogenomics connects somatic mutations to signalling in breast cancer Hit paper breakdown → | 2016 | 1294 |
| 2 | Multi-site assessment of the precision and reproducibility of multiple reaction monitoring–based measurements of proteins in plasma Hit paper breakdown → | 2009 | 904 |
| 3 | Integrated Proteogenomic Characterization of Human High-Grade Serous Ovarian Cancer Hit paper breakdown → | 2016 | 798 |
| 4 | Gene expression-based classification of malignant gliomas correlates better with survival than histological classification. Hit paper breakdown → | 2003 | 788 |
| 5 | Lenalidomide induces ubiquitination and degradation of CK1α in del(5q) MDS Hit paper breakdown → | 2015 | 733 |
| 6 | Proteogenomic Analysis of Human Colon Cancer Reveals New Therapeutic Opportunities Hit paper breakdown → | 2019 | 590 |
| 7 | Proteogenomic Characterization Reveals Therapeutic Vulnerabilities in Lung Adenocarcinoma Hit paper breakdown → | 2020 | 572 |
| 8 | Integrated Proteogenomic Characterization of Clear Cell Renal Cell Carcinoma Hit paper breakdown → | 2019 | 549 |
| 9 | Integrated proteomic analysis of post-translational modifications by serial enrichment Hit paper breakdown → | 2013 | 523 |
| 10 | Targeted Peptide Measurements in Biology and Medicine: Best Practices for Mass Spectrometry-based Assay Development Using a Fit-for-Purpose Approach Hit paper breakdown → | 2014 | 465 |
| 11 | Proteogenomic and metabolomic characterization of human glioblastoma Hit paper breakdown → | 2021 | 456 |
| 12 | Proteogenomic characterization of pancreatic ductal adenocarcinoma Hit paper breakdown → | 2021 | 399 |
| 13 | Proteogenomic Landscape of Breast Cancer Tumorigenesis and Targeted Therapy Hit paper breakdown → | 2020 | 388 |
| 14 | 2008 | 374 | |
| 15 | Reproducible workflow for multiplexed deep-scale proteome and phosphoproteome analysis of tumor tissues by liquid chromatography–mass spectrometry Hit paper breakdown → | 2018 | 363 |
| 16 | Proteogenomic Characterization of Endometrial Carcinoma Hit paper breakdown → | 2020 | 354 |
| 17 | Proteomic analyses of ECM during pancreatic ductal adenocarcinoma progression reveal different contributions by tumor and stromal cells Hit paper breakdown → | 2019 | 352 |
| 18 | 2014 | 328 | |
| 19 | 2018 | 295 | |
| 20 | 2012 | 281 |
About D.R. Mani
D.R. Mani is a scholar working on Spectroscopy, Molecular Biology, Cancer Research, Oncology and Immunology, having authored 109 papers that have together received 17.8k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (43 papers), Mass Spectrometry Techniques and Applications (20 papers), Ubiquitin and proteasome pathways (15 papers), Cancer Genomics and Diagnostics (14 papers), Protein Degradation and Inhibitors (9 papers), Metabolomics and Mass Spectrometry Studies (9 papers), RNA modifications and cancer (8 papers) and Ferroptosis and cancer prognosis (8 papers). The work is most often cited by research in Spectroscopy (5.0k citations), Cancer Research (2.8k citations), Molecular Biology (10.9k citations), Oncology (2.8k citations) and Genetics (848 citations). D.R. Mani has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Steven A. Carr, Karl R. Clauser, Michael A. Gillette, Hasmik Keshishian, Philipp Mertins, Namrata D. Udeshi, Michael W. Burgess, Eric W. Kuhn, Jacob D. Jaffe and Lukas N. Mueller. Their work appears in journals such as Molecular & Cellular Proteomics, Cell, Cancer Cell, Nature Communications and Nature Biotechnology.
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.