William M. Old
Impact in
- Spectroscopy top 0.5%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Molecular Biology top 2%
- Metabolomics and Mass Spectrometry Studies
- Ubiquitin and proteasome pathways
- RNA and protein synthesis mechanisms
- Genomics and Chromatin Dynamics
- Glycosylation and Glycoproteins Research
Papers in
- Spectroscopy 15
- Advanced Proteomics Techniques and Applications 15
- Mass Spectrometry Techniques and Applications 13
- Cell Biology 12
- Microtubule and mitosis dynamics 7
- Co-authors
- Natalie G. AhnKatheryn A. ResingKaren Meyer-ArendtEric S. WitzeJoel SevinskyChristopher C. EbmeierStéphane HouelKutralanathan Renganathan
- Journals
- Molecular & Cellular Proteomics (8 papers)Journal of Proteome Research (5 papers)Journal of Biological Chemistry (4 papers)Cell Reports (3 papers)ACS Chemical Biology (3 papers)
- Partner nations
- United StatesBelarusUnited Kingdom
In The Last Decade
William M. Old
55 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Spectroscopy 1.4k
- Molecular Biology 2.9k
- Cell Biology 517
- Cancer Research 170
- Oncology 306
Countries citing papers authored by William M. Old
This map shows the geographic impact of William M. Old'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 William M. Old with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William M. Old more than expected).
Fields of papers citing papers by William M. Old
This network shows the impact of papers produced by William M. Old. 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 William M. Old. The network helps show where William M. Old may publish in the future.
Co-authorship network
The 25 scholars most cited alongside William M. Old, 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 | 2022 | 5 | |
| 2 | 2021 | 13 | |
| 3 | 2021 | 55 | |
| 4 | 2021 | 37 | |
| 5 | 2019 | 32 | |
| 6 | 2019 | 40 | |
| 7 | 2018 | 68 | |
| 8 | 2018 | 52 | |
| 9 | 2017 | 29 | |
| 10 | 2017 | 9 | |
| 11 | 2017 | 106 | |
| 12 | 2013 | 79 | |
| 13 | 2013 | 17 | |
| 14 | 2011 | 48 | |
| 15 | 2009 | 112 | |
| 16 | 2008 | 34 | |
| 17 | 2008 | 43 | |
| 18 | Mapping protein post-translational modifications with mass spectrometry Hit paper breakdown → | 2007 | 616 |
| 19 | 2006 | 44 | |
| 20 | 2004 | 10 |
About William M. Old
William M. Old is a scholar working on Spectroscopy, Cell Biology, Molecular Biology, Aging and Biophysics, having authored 56 papers that have together received 3.8k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (15 papers), Mass Spectrometry Techniques and Applications (13 papers), Metabolomics and Mass Spectrometry Studies (10 papers), Microtubule and mitosis dynamics (7 papers), Genomics and Chromatin Dynamics (5 papers), RNA Research and Splicing (5 papers), Protein Kinase Regulation and GTPase Signaling (4 papers) and Ubiquitin and proteasome pathways (4 papers). The work is most often cited by research in Spectroscopy (1.4k citations), Molecular Biology (2.9k citations), Cell Biology (517 citations), Cancer Research (170 citations) and Oncology (306 citations). William M. Old has collaborated with scholars based in United States, Belarus and United Kingdom. Frequent co-authors include Natalie G. Ahn, Katheryn A. Resing, Karen Meyer-Arendt, Eric S. Witze, Joel Sevinsky, Christopher C. Ebmeier, Stéphane Houel, Kutralanathan Renganathan, Thomas Lee and Chia-Yu Yen. Their work appears in journals such as Molecular & Cellular Proteomics, Journal of Proteome Research, Journal of Biological Chemistry, Cell Reports and ACS Chemical Biology.
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.