Travis S. Johnson
Impact in
- Aging top 5%
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Cancer, Lipids, and Metabolism
- Cancer Genomics and Diagnostics
Papers in
-
- Single-cell and spatial transcriptomics 13
- Gene expression and cancer classification 4
- Protein Degradation and Inhibitors 4
-
- Multiple Myeloma Research and Treatments 7
- Co-authors
- Kun Huang (30 shared papers)Kai Yang (3 shared papers)Jie Zhang (2 shared papers)Siyuan Zhang (1 shared paper)Rong Qi (1 shared paper)Shaogang Sun (1 shared paper)Chengxian Xu (1 shared paper)Jie Zhang (18 shared papers)
- Journals
- Bioinformatics (3 papers)Scientific Reports (3 papers)Cancers (2 papers)Frontiers in Genetics (2 papers)Cell Reports (2 papers)
- Partner nations
- United StatesChinaSpain
In The Last Decade
Travis S. Johnson
50 papers receiving 1.3k citations
Travis S. Johnson's Hit Papers
Peers
Comparison fields: 5 of 120
- Aging 56
- Cancer Research 333
- Pulmonary and Respiratory Medicine 350
- Biophysics 56
- Molecular Biology 654
Countries citing papers authored by Travis S. Johnson
This map shows the geographic impact of Travis S. Johnson'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 Travis S. Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Travis S. Johnson more than expected).
Fields of papers citing papers by Travis S. Johnson
This network shows the impact of papers produced by Travis S. Johnson. 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 Travis S. Johnson. The network helps show where Travis S. Johnson may publish in the future.
Co-authors
The 25 scholars most cited alongside Travis S. Johnson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The glutathione peroxidase Gpx4 prevents lipid peroxidation and ferroptosis to sustain Treg cell activation and suppression of antitumor immunity Hit paper breakdown → | 2021 | 405 |
| 2 | 2019 | 174 | |
| 3 | 2019 | 95 | |
| 4 | 1998 | 79 | |
| 5 | 2019 | 73 | |
| 6 | 1995 | 64 | |
| 7 | 2020 | 60 | |
| 8 | 2002 | 58 | |
| 9 | 2019 | 32 | |
| 10 | 2022 | 26 | |
| 11 | 2023 | 25 | |
| 12 | 2023 | 23 | |
| 13 | 2002 | 21 | |
| 14 | 2019 | 19 | |
| 15 | 2021 | 18 | |
| 16 | 2022 | 17 | |
| 17 | 2020 | 13 | |
| 18 | 2017 | 12 | |
| 19 | 2021 | 11 | |
| 20 | 2020 | 11 |
About Travis S. Johnson
Travis S. Johnson is a scholar working on Molecular Biology, Hematology, Artificial Intelligence, Neurology and Cancer Research, having authored 54 papers that have together received 1.3k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (13 papers), Multiple Myeloma Research and Treatments (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Cancer Genomics and Diagnostics (4 papers), Gene expression and cancer classification (4 papers), Protein Degradation and Inhibitors (4 papers), Immune cells in cancer (4 papers) and Cell Image Analysis Techniques (4 papers). The work is most often cited by research in Aging (56 citations), Cancer Research (333 citations), Pulmonary and Respiratory Medicine (350 citations), Biophysics (56 citations) and Molecular Biology (654 citations). Travis S. Johnson has collaborated with scholars based in United States, China and Spain. Frequent co-authors include Kun Huang, Kai Yang, Jie Zhang, Siyuan Zhang, Rong Qi, Shaogang Sun, Chengxian Xu, Jie Zhang, T. Brotherton and Bryan R. Helm. Their work appears in journals such as Bioinformatics, Scientific Reports, Cancers, Frontiers in Genetics and Cell 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.