Chase Neumann
Impact in
- Biochemistry top 10%
- Amino Acid Enzymes and Metabolism
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- Cancer, Lipids, and Metabolism
- Cancer, Hypoxia, and Metabolism
Papers in
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- Biochemical and Molecular Research 1
- Enzyme function and inhibition 1
- Fibroblast Growth Factor Research 1
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- Cancer, Lipids, and Metabolism 2
- Cancer, Hypoxia, and Metabolism 1
- Co-authors
- Sydney Kustu (2 shared papers)James R. Broach (1 shared paper)J. Mark Brown (4 shared papers)Sue Goo Rhee (1 shared paper)Sze Kiat Tan (1 shared paper)Rutulkumar Patel (1 shared paper)Timothy J. Garrett (1 shared paper)Michelle Puchowicz (1 shared paper)
- Journals
- Journal of Bacteriology (2 papers)Molecular Metabolism (1 paper)Journal of Clinical Investigation (1 paper)Journal of Nutrition (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesSaudi ArabiaGermany
In The Last Decade
Chase Neumann
8 papers receiving 266 citations
Peers
Comparison fields: 5 of 62
- Biochemistry 60
- Cancer Research 99
- Molecular Biology 161
- Pulmonary and Respiratory Medicine 69
- Genetics 44
Countries citing papers authored by Chase Neumann
This map shows the geographic impact of Chase Neumann'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 Chase Neumann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chase Neumann more than expected).
Fields of papers citing papers by Chase Neumann
This network shows the impact of papers produced by Chase Neumann. 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 Chase Neumann. The network helps show where Chase Neumann may publish in the future.
Co-authors
The 25 scholars most cited alongside Chase Neumann, 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 | 2021 | 78 | |
| 2 | 1978 | 50 | |
| 3 | 1976 | 48 | |
| 4 | 2021 | 39 | |
| 5 | 2020 | 31 | |
| 6 | 2020 | 19 | |
| 7 | 2019 | 18 | |
| 8 | 2000 | 3 |
About Chase Neumann
Chase Neumann is a scholar working on Molecular Biology, Cancer Research, Biochemistry, Surgery and Pulmonary and Respiratory Medicine, having authored 8 papers that have together received 286 indexed citations. Recurring topics across this work include Cancer, Lipids, and Metabolism (2 papers), Amino Acid Enzymes and Metabolism (2 papers), Pancreatic function and diabetes (1 paper), Metabolism and Genetic Disorders (1 paper), Cancer, Hypoxia, and Metabolism (1 paper), Biochemical and Molecular Research (1 paper), Enzyme function and inhibition (1 paper) and Fibroblast Growth Factor Research (1 paper). The work is most often cited by research in Biochemistry (60 citations), Cancer Research (99 citations), Molecular Biology (161 citations), Pulmonary and Respiratory Medicine (69 citations) and Genetics (44 citations). Chase Neumann has collaborated with scholars based in United States, Saudi Arabia and Germany. Frequent co-authors include Sydney Kustu, James R. Broach, J. Mark Brown, Sue Goo Rhee, Sze Kiat Tan, Rutulkumar Patel, Timothy J. Garrett, Michelle Puchowicz, Anthony J. Griswold and Iqbal Mahmud. Their work appears in journals such as Journal of Bacteriology, Molecular Metabolism, Journal of Clinical Investigation, Journal of Nutrition and Journal of Biological Chemistry.
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.