David Bargiela
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Rehabilitation top 10%
- Exercise and Physiological Responses
Papers in
-
- Mitochondrial Function and Pathology 6
- Sexual Differentiation and Disorders 2
-
- Immune Cell Function and Interaction 6
- Immune cells in cancer 4
- Co-authors
- Patrick F. Chinnery (7 shared papers)Helene Rundqvist (9 shared papers)Randall S. Johnson (12 shared papers)Pedro Veliça (10 shared papers)Laura Barbieri (10 shared papers)Rita Horváth (5 shared papers)Pedro P. Cunha (10 shared papers)Iosifina P. Foskolou (10 shared papers)
- Journals
- Neurology (5 papers)Frontiers in Immunology (3 papers)Cancer Immunology Research (2 papers)eLife (2 papers)Brain (2 papers)
- Partner nations
- United KingdomSwedenUnited States
In The Last Decade
David Bargiela
30 papers receiving 890 citations
Peers
Comparison fields: 5 of 80
- Cancer Research 174
- Rehabilitation 47
- Immunology 150
- Clinical Biochemistry 48
- Cellular and Molecular Neuroscience 131
Countries citing papers authored by David Bargiela
This map shows the geographic impact of David Bargiela'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 David Bargiela with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Bargiela more than expected).
Fields of papers citing papers by David Bargiela
This network shows the impact of papers produced by David Bargiela. 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 David Bargiela. The network helps show where David Bargiela may publish in the future.
Co-authors
The 25 scholars most cited alongside David Bargiela, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 134 | |
| 2 | 2014 | 94 | |
| 3 | 2018 | 66 | |
| 4 | 2017 | 60 | |
| 5 | 2020 | 52 | |
| 6 | 2014 | 50 | |
| 7 | 2018 | 48 | |
| 8 | 2021 | 43 | |
| 9 | 2016 | 41 | |
| 10 | 2023 | 40 | |
| 11 | 2023 | 37 | |
| 12 | 2023 | 36 | |
| 13 | 2020 | 29 | |
| 14 | 2015 | 29 | |
| 15 | 2022 | 26 | |
| 16 | 2015 | 26 | |
| 17 | 2015 | 18 | |
| 18 | 2017 | 16 | |
| 19 | 2017 | 13 | |
| 20 | 2023 | 9 |
About David Bargiela
David Bargiela is a scholar working on Molecular Biology, Immunology, Cancer Research, Oncology and Physiology, having authored 30 papers that have together received 895 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), Mitochondrial Function and Pathology (6 papers), Cancer, Hypoxia, and Metabolism (6 papers), Immune cells in cancer (4 papers), Adipose Tissue and Metabolism (4 papers), Neurological diseases and metabolism (2 papers), Sexual Differentiation and Disorders (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Cancer Research (174 citations), Rehabilitation (47 citations), Immunology (150 citations), Clinical Biochemistry (48 citations) and Cellular and Molecular Neuroscience (131 citations). David Bargiela has collaborated with scholars based in United Kingdom, Sweden and United States. Frequent co-authors include Patrick F. Chinnery, Helene Rundqvist, Randall S. Johnson, Pedro Veliça, Laura Barbieri, Rita Horváth, Pedro P. Cunha, Iosifina P. Foskolou, Sara Mijwel and Stephen P. Burr. Their work appears in journals such as Neurology, Frontiers in Immunology, Cancer Immunology Research, eLife and Brain.
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.