Mark Bittinger
Impact in
- Genetics top 0.5%
- Glioma Diagnosis and Treatment
- Cancer Research top 0.5%
- Cancer, Hypoxia, and Metabolism
Papers in
- Oncology 6
- Cancer Immunotherapy and Biomarkers 4
- CAR-T cell therapy research 3
- Co-authors
- Valeria R. Fantin (4 shared papers)Edward M. Driggers (4 shared papers)Hyun Gyung Jang (4 shared papers)Lenny Dang (4 shared papers)Shengfang Jin (4 shared papers)Shinsan M. Su (4 shared papers)Stefan Größ (4 shared papers)Craig B. Thompson (3 shared papers)
- Journals
- Cancer Research (5 papers)PLoS ONE (2 papers)Nature (2 papers)ACS Medicinal Chemistry Letters (2 papers)Cancer Immunology Research (2 papers)
- Partner nations
- United StatesTaiwanIreland
In The Last Decade
Mark Bittinger
18 papers receiving 4.8k citations
Mark Bittinger's Hit Papers
Peers
Comparison fields: 5 of 106
- Genetics 1.5k
- Cancer Research 2.0k
- Hematology 587
- Molecular Biology 2.7k
- Biochemistry 165
Countries citing papers authored by Mark Bittinger
This map shows the geographic impact of Mark Bittinger'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 Mark Bittinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Bittinger more than expected).
Fields of papers citing papers by Mark Bittinger
This network shows the impact of papers produced by Mark Bittinger. 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 Mark Bittinger. The network helps show where Mark Bittinger may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Bittinger, 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 | Cancer-associated IDH1 mutations produce 2-hydroxyglutarate Hit paper breakdown → | 2009 | 3227 |
| 2 | Cancer-associated metabolite 2-hydroxyglutarate accumulates in acute myelogenous leukemia with isocitrate dehydrogenase 1 and 2 mutations Hit paper breakdown → | 2010 | 575 |
| 3 | 2010 | 426 | |
| 4 | 2004 | 197 | |
| 5 | 2003 | 98 | |
| 6 | 2018 | 72 | |
| 7 | 1997 | 58 | |
| 8 | 2017 | 42 | |
| 9 | 2000 | 34 | |
| 10 | 2021 | 33 | |
| 11 | 2020 | 30 | |
| 12 | 2021 | 25 | |
| 13 | 2015 | 24 | |
| 14 | 2016 | 22 | |
| 15 | 2010 | 4 | |
| 16 | 2018 | 4 | |
| 17 | 2016 | 2 | |
| 18 | 2024 | 1 | |
| 19 | 2024 | 0 | |
| 20 | 2015 | 0 |
About Mark Bittinger
Mark Bittinger is a scholar working on Molecular Biology, Oncology, Cancer Research, Genetics and Immunology, having authored 20 papers that have together received 4.9k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), CAR-T cell therapy research (3 papers), Glioma Diagnosis and Treatment (3 papers), Plant nutrient uptake and metabolism (2 papers), T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers) and Legume Nitrogen Fixing Symbiosis (2 papers). The work is most often cited by research in Genetics (1.5k citations), Cancer Research (2.0k citations), Hematology (587 citations), Molecular Biology (2.7k citations) and Biochemistry (165 citations). Mark Bittinger has collaborated with scholars based in United States, Taiwan and Ireland. Frequent co-authors include Valeria R. Fantin, Edward M. Driggers, Hyun Gyung Jang, Lenny Dang, Shengfang Jin, Shinsan M. Su, Stefan Größ, Craig B. Thompson, Matthew G. Vander Heiden and Marie C. Keenan. Their work appears in journals such as Cancer Research, PLoS ONE, Nature, ACS Medicinal Chemistry Letters and Cancer Immunology Research.
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.