Justin R. Cross
- Molecular Biology top 0.2%
- Cancer Research top 0.1%
- Immunology top 0.5%
- Oncology top 1%
- Physiology top 0.5%
- Co-authors
- Craig B. ThompsonUma M. SachdevaClarissa CampbellAlexander Y. RudenskyJoris van der VeekenStanislav DikiyPaul deRoosKlaus Pfeffer
- Topics
- Cancer, Hypoxia, and Metabolism (24 papers)Gut microbiota and health (13 papers)Immune Cell Function and Interaction (9 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Justin R. Cross
88 papers receiving 19.4k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Molecular Biology 12.9k
- Cancer Research 4.8k
- Immunology 3.4k
- Oncology 2.1k
- Physiology 2.1k
Countries citing papers authored by Justin R. Cross
This map shows the geographic impact of Justin R. Cross'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 Justin R. Cross with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Justin R. Cross more than expected).
Fields of papers citing papers by Justin R. Cross
This network shows the impact of papers produced by Justin R. Cross. 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 Justin R. Cross. The network helps show where Justin R. Cross may publish in the future.
Co-authorship network of co-authors of Justin R. Cross
This figure shows the co-authorship network connecting the top 25 collaborators of Justin R. Cross. A scholar is included among the top collaborators of Justin R. Cross based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Justin R. Cross. Justin R. Cross is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 18 | |
| 4 | 11 | |
| 5 | Cellular ATP demand creates metabolically distinct subpopulations of mitochondriabreakdown → | 102 |
| 6 | 30 | |
| 7 | 39 | |
| 8 | 4 | |
| 9 | 16 | |
| 10 | Bacterial metabolism of bile acids promotes generation of peripheral regulatory T cellsbreakdown → | 598 |
| 11 | 30 | |
| 12 | 48 | |
| 13 | 190 | |
| 14 | 45 | |
| 15 | 81 | |
| 16 | 344 | |
| 17 | Hypoxic and Ras-transformed cells support growth by scavenging unsaturated fatty acids from lysophospholipidsbreakdown → | 560 |
| 18 | The Common Feature of Leukemia-Associated IDH1 and IDH2 Mutations Is a Neomorphic Enzyme Activity Converting α-Ketoglutarate to 2-Hydroxyglutaratebreakdown → | 1483 |
| 19 | ATP-Citrate Lyase Links Cellular Metabolism to Histone Acetylationbreakdown → | 1698 |
| 20 | 75 |
About Justin R. Cross
Justin R. Cross is a scholar working on Cancer Research, Biochemistry and Molecular Biology, having authored 92 papers that have together received 19.6k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (24 papers), Gut microbiota and health (13 papers) and Immune Cell Function and Interaction (9 papers). The work is most often cited by research in Cancer Research (4.8k citations), Biological Psychiatry (558 citations) and Molecular Biology (12.9k citations). Justin R. Cross has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Craig B. Thompson, Uma M. Sachdeva, Clarissa Campbell, Alexander Y. Rudensky, Joris van der Veeken, Stanislav Dikiy, Paul deRoos, Klaus Pfeffer, Hui Liu and Paul J. Coffer. Their work appears in journals such as Nature, Science and Cell.
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.