William M. Oldham
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
-
- Neuropeptides and Animal Physiology
- Neuroscience and Neuropharmacology Research
Papers in
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- Cancer, Hypoxia, and Metabolism 8
- Co-authors
- Heidi E. HammJoseph LoscalzoClary B. ClishYi YangNed Van EpsWayne L. HubbellAnita M. PreiningerBradley A. Maron
- Journals
- Cell Metabolism (3 papers)Circulation Research (3 papers)Cell (3 papers)eLife (3 papers)Scientific Reports (2 papers)
- Partner nations
- United StatesBrazilChina
In The Last Decade
William M. Oldham
55 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Cancer Research 473
- Cellular and Molecular Neuroscience 558
- Molecular Biology 2.1k
- Cell Biology 353
- Aging 28
Countries citing papers authored by William M. Oldham
This map shows the geographic impact of William M. Oldham'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. Oldham 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. Oldham more than expected).
Fields of papers citing papers by William M. Oldham
This network shows the impact of papers produced by William M. Oldham. 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. Oldham. The network helps show where William M. Oldham may publish in the future.
Co-authors
The 25 scholars most cited alongside William M. Oldham, 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 | 2024 | 3 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 9 | |
| 4 | 2023 | 75 | |
| 5 | 2023 | 13 | |
| 6 | 2021 | 63 | |
| 7 | 2021 | 63 | |
| 8 | 2018 | 297 | |
| 9 | 2018 | 38 | |
| 10 | 2018 | 148 | |
| 11 | 2018 | 26 | |
| 12 | 2017 | 34 | |
| 13 | 2016 | 60 | |
| 14 | 2016 | 16 | |
| 15 | 2014 | 57 | |
| 16 | 2010 | 47 | |
| 17 | 2010 | 1 | |
| 18 | 2006 | 174 | |
| 19 | 2006 | 28 | |
| 20 | 2006 | 143 |
About William M. Oldham
William M. Oldham is a scholar working on Biochemistry, Cancer Research, Complementary and alternative medicine, Cardiology and Cardiovascular Medicine and Biophysics, having authored 56 papers that have together received 3.2k indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (11 papers), Cancer, Hypoxia, and Metabolism (8 papers), Mitochondrial Function and Pathology (7 papers), Cardiovascular Function and Risk Factors (7 papers), Receptor Mechanisms and Signaling (7 papers), Metabolomics and Mass Spectrometry Studies (6 papers), Cardiovascular and exercise physiology (6 papers) and Protein Kinase Regulation and GTPase Signaling (5 papers). The work is most often cited by research in Cancer Research (473 citations), Cellular and Molecular Neuroscience (558 citations), Molecular Biology (2.1k citations), Cell Biology (353 citations) and Aging (28 citations). William M. Oldham has collaborated with scholars based in United States, Brazil and China. Frequent co-authors include Heidi E. Hamm, Joseph Loscalzo, Clary B. Clish, Yi Yang, Ned Van Eps, Wayne L. Hubbell, Anita M. Preininger, Bradley A. Maron, Stephen Y. Chan and Thomas Bertero. Their work appears in journals such as Cell Metabolism, Circulation Research, Cell, eLife and Scientific Reports.
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.