Wilhelm Haas
Impact in
- Geriatrics and Gerontology top 0.1%
- Sirtuins and Resveratrol in Medicine
- Aging top 0.5%
Papers in
- Spectroscopy 27
- Advanced Proteomics Techniques and Applications 27
- Mass Spectrometry Techniques and Applications 19
-
- Ubiquitin and proteasome pathways 14
- Metabolomics and Mass Spectrometry Studies 11
- RNA and protein synthesis mechanisms 9
- DNA Repair Mechanisms 8
- Co-authors
- Steven P. GygiPere PuigserverRamin RadJoseph T. RodgersCarles LerínBruce M. SpiegelmanEdward L. HuttlinJoshua E. Elias
- Journals
- Molecular Cell (6 papers)Cell (5 papers)Journal of Biological Chemistry (5 papers)Analytical Chemistry (5 papers)Molecular & Cellular Proteomics (4 papers)
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Wilhelm Haas
99 papers receiving 15.2k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Geriatrics and Gerontology 1.7k
- Aging 362
- Spectroscopy 2.7k
- Molecular Biology 11.0k
- Cell Biology 1.8k
Countries citing papers authored by Wilhelm Haas
This map shows the geographic impact of Wilhelm Haas'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 Wilhelm Haas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wilhelm Haas more than expected).
Fields of papers citing papers by Wilhelm Haas
This network shows the impact of papers produced by Wilhelm Haas. 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 Wilhelm Haas. The network helps show where Wilhelm Haas may publish in the future.
Co-authors
The 25 scholars most cited alongside Wilhelm Haas, 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 | 0 | |
| 2 | 2024 | 37 | |
| 3 | 2024 | 10 | |
| 4 | 2022 | 8 | |
| 5 | 2022 | 46 | |
| 6 | 2021 | 102 | |
| 7 | 2021 | 41 | |
| 8 | 2018 | 24 | |
| 9 | Pharmacological perturbation of CDK9 using selective CDK9 inhibition or degradation | 2017 | 1 |
| 10 | 2017 | 201 | |
| 11 | 2017 | 36 | |
| 12 | 2015 | 17 | |
| 13 | 2015 | 357 | |
| 14 | 2015 | 51 | |
| 15 | 2015 | 161 | |
| 16 | 2014 | 37 | |
| 17 | MS3 eliminates ratio distortion in isobaric multiplexed quantitative proteomics Hit paper breakdown → | 2011 | 769 |
| 18 | 2010 | 164 | |
| 19 | 2006 | 233 | |
| 20 | Comparative evaluation of mass spectrometry platforms used in large-scale proteomics investigations Hit paper breakdown → | 2005 | 590 |
About Wilhelm Haas
Wilhelm Haas is a scholar working on Spectroscopy, Molecular Biology, Geriatrics and Gerontology, Cell Biology and Cancer Research, having authored 101 papers that have together received 15.3k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (27 papers), Mass Spectrometry Techniques and Applications (19 papers), Ubiquitin and proteasome pathways (14 papers), Metabolomics and Mass Spectrometry Studies (11 papers), RNA and protein synthesis mechanisms (9 papers), DNA Repair Mechanisms (8 papers), Cancer, Hypoxia, and Metabolism (8 papers) and Endoplasmic Reticulum Stress and Disease (8 papers). The work is most often cited by research in Geriatrics and Gerontology (1.7k citations), Aging (362 citations), Spectroscopy (2.7k citations), Molecular Biology (11.0k citations) and Cell Biology (1.8k citations). Wilhelm Haas has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Steven P. Gygi, Pere Puigserver, Ramin Rad, Joseph T. Rodgers, Carles Lerín, Bruce M. Spiegelman, Edward L. Huttlin, Joshua E. Elias, Mark P. Jedrychowski and Lily Ting. Their work appears in journals such as Molecular Cell, Cell, Journal of Biological Chemistry, Analytical Chemistry and Molecular & Cellular Proteomics.
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.