Chris Johns
Impact in
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- Cancer Cells and Metastasis
- Cytokine Signaling Pathways and Interactions
- HER2/EGFR in Cancer Research
- Cancer Immunotherapy and Biomarkers
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- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
Papers in
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- Human Mobility and Location-Based Analysis 2
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- Traffic Prediction and Management Techniques 2
- Co-authors
- Matthew Camiolo (1 shared paper)Brendon M. Stiles (1 shared paper)Trine Lindsted (1 shared paper)Michaela Schlederer (1 shared paper)Nasser K. Altorki (1 shared paper)Lukas Kenner (1 shared paper)Raffaella Sordella (1 shared paper)Vivek Mittal (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Digestive Diseases and Sciences (1 paper)SMPTE Motion Imaging Journal (1 paper)Journal of Direct Data and Digital Marketing Practice (1 paper)PubMed (2 papers)
- Partner nations
- United StatesUnited KingdomAustria
In The Last Decade
Chris Johns
9 papers receiving 379 citations
Peers
Comparison fields: 5 of 78
- Oncology 201
- Cancer Research 76
- Pulmonary and Respiratory Medicine 131
- Transportation 18
- Molecular Biology 169
Countries citing papers authored by Chris Johns
This map shows the geographic impact of Chris Johns'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 Chris Johns with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Johns more than expected).
Fields of papers citing papers by Chris Johns
This network shows the impact of papers produced by Chris Johns. 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 Chris Johns. The network helps show where Chris Johns may publish in the future.
Co-authors
The 24 scholars most cited alongside Chris Johns, 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 | 2010 | 326 | |
| 2 | 2017 | 21 | |
| 3 | 2016 | 10 | |
| 4 | Ascorbic acid absorption in patients with systemic sclerosis. | 1997 | 9 |
| 5 | 1989 | 5 | |
| 6 | 2019 | 5 | |
| 7 | Setting standards. Steps to self-medication. | 1990 | 4 |
| 8 | 1984 | 3 | |
| 9 | 2012 | 1 |
About Chris Johns
Chris Johns is a scholar working on Transportation, Building and Construction, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition, having authored 9 papers that have together received 384 indexed citations. Recurring topics across this work include Human Mobility and Location-Based Analysis (2 papers), Traffic Prediction and Management Techniques (2 papers), Inflammatory Bowel Disease (1 paper), 3D Shape Modeling and Analysis (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), Virtual Reality Applications and Impacts (1 paper), Systemic Sclerosis and Related Diseases (1 paper) and Augmented Reality Applications (1 paper). The work is most often cited by research in Oncology (201 citations), Cancer Research (76 citations), Pulmonary and Respiratory Medicine (131 citations), Transportation (18 citations) and Molecular Biology (169 citations). Chris Johns has collaborated with scholars based in United States, United Kingdom and Austria. Frequent co-authors include Matthew Camiolo, Brendon M. Stiles, Trine Lindsted, Michaela Schlederer, Nasser K. Altorki, Lukas Kenner, Raffaella Sordella, Vivek Mittal, Zhan Yao and Ding Cheng Gao. Their work appears in journals such as Proceedings of the National Academy of Sciences, Digestive Diseases and Sciences, SMPTE Motion Imaging Journal, Journal of Direct Data and Digital Marketing Practice and PubMed.
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.