Matthew R. Bauer
- Cancer Research top 2%
- Cancer, Hypoxia, and Metabolism 2
- Aging top 5%
- Molecular Biology top 10%
- Metabolomics and Mass Spectrometry Studies 2
- RNA modifications and cancer 1
- Signaling Pathways in Disease 1
- Biochemistry top 10%
-
- Enhanced Recovery After Surgery 1
-
- Cardiac, Anesthesia and Surgical Outcomes 1
-
- Information Systems Education and Curriculum Development 1
-
- Peptidase Inhibition and Analysis 1
- Co-authors
- Tyler JacksMatthew G. Vander HeidenThales PapagiannakopoulosLakshmipriya SubbarajShawn M. DavidsonChristopher R. ChinArjun BhutkarMegan Heimann
- Partner nations
- United StatesItalyGermany
In The Last Decade
Matthew R. Bauer
8 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Cancer Research 742
- Endocrine and Autonomic Systems 285
- Aging 65
- Molecular Biology 941
- Biochemistry 80
Countries citing papers authored by Matthew R. Bauer
This map shows the geographic impact of Matthew R. Bauer'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 Matthew R. Bauer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew R. Bauer more than expected).
Fields of papers citing papers by Matthew R. Bauer
This network shows the impact of papers produced by Matthew R. Bauer. 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 Matthew R. Bauer. The network helps show where Matthew R. Bauer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthew R. Bauer, 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 | 2023 | 2 | |
| 2 | 2022 | 1 | |
| 3 | Environment Impacts the Metabolic Dependencies of Ras-Driven Non-Small Cell Lung Cancerbreakdown → | 2016 | 554 |
| 4 | Circadian Rhythm Disruption Promotes Lung Tumorigenesisbreakdown → | 2016 | 398 |
| 5 | Tissue of origin dictates branched-chain amino acid metabolism in mutantKras-driven cancersbreakdown → | 2016 | 438 |
| 6 | 2013 | 32 | |
| 7 | 2010 | 76 | |
| 8 | Biopsies of non-small cell lung cancer: central review in cooperative studies of the Radiation Therapy Oncology Group. | 1991 | 5 |
About Matthew R. Bauer
Matthew R. Bauer is a scholar working on Aging, Cancer Research and Computer Science Applications, having authored 8 papers that have together received 1.5k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), RNA modifications and cancer (1 paper), Enhanced Recovery After Surgery (1 paper), Cardiac, Anesthesia and Surgical Outcomes (1 paper), Signaling Pathways in Disease (1 paper), Information Systems Education and Curriculum Development (1 paper) and Peptidase Inhibition and Analysis (1 paper). The work is most often cited by research in Cancer Research (742 citations), Endocrine and Autonomic Systems (285 citations) and Aging (65 citations). Matthew R. Bauer has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Tyler Jacks, Matthew G. Vander Heiden, Thales Papagiannakopoulos, Lakshmipriya Subbaraj, Shawn M. Davidson, Christopher R. Chin, Arjun Bhutkar, Megan Heimann, Abhishek Jha and James P. O’Brien. Their work appears in journals such as Science, Cell Metabolism and Oncogene.
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.