Stanisław Deja
Impact in
-
- Diet, Metabolism, and Disease
- Toxicology top 5%
Papers in
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- Metabolomics and Mass Spectrometry Studies 14
- Mitochondrial Function and Pathology 7
- Metabolism, Diabetes, and Cancer 4
- Physiology 12
- Diet and metabolism studies 10
- Co-authors
- Shawn C. Burgess (18 shared papers)Xiaorong Fu (13 shared papers)Piotr Młynarz (15 shared papers)Melissa R. Iñigo (4 shared papers)Jeffrey D. Browning (9 shared papers)Justin A. Fletcher (7 shared papers)Adam Ząbek (9 shared papers)Blanka Kucejová (6 shared papers)
- Journals
- Cell Metabolism (4 papers)Journal of Pharmaceutical and Biomedical Analysis (3 papers)PLoS ONE (3 papers)Metabolic Engineering (2 papers)Diabetes (2 papers)
- Partner nations
- United StatesPolandGermany
In The Last Decade
Stanisław Deja
33 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 110
- Endocrinology, Diabetes and Metabolism 304
- Toxicology 53
- Cancer Research 220
- Biochemistry 103
- Clinical Biochemistry 86
Countries citing papers authored by Stanisław Deja
This map shows the geographic impact of Stanisław Deja'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 Stanisław Deja with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stanisław Deja more than expected).
Fields of papers citing papers by Stanisław Deja
This network shows the impact of papers produced by Stanisław Deja. 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 Stanisław Deja. The network helps show where Stanisław Deja may publish in the future.
Co-authors
The 25 scholars most cited alongside Stanisław Deja, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 314 | |
| 2 | 2019 | 155 | |
| 3 | 2019 | 135 | |
| 4 | 2021 | 106 | |
| 5 | 2014 | 94 | |
| 6 | 2016 | 83 | |
| 7 | 2017 | 76 | |
| 8 | 2013 | 58 | |
| 9 | 2015 | 53 | |
| 10 | 2019 | 47 | |
| 11 | 2021 | 45 | |
| 12 | 2014 | 44 | |
| 13 | 2017 | 41 | |
| 14 | 2015 | 37 | |
| 15 | 2024 | 31 | |
| 16 | 2013 | 30 | |
| 17 | 2021 | 26 | |
| 18 | 2023 | 23 | |
| 19 | 2019 | 23 | |
| 20 | 2018 | 18 |
About Stanisław Deja
Stanisław Deja is a scholar working on Molecular Biology, Physiology, Epidemiology, Clinical Biochemistry and Pulmonary and Respiratory Medicine, having authored 34 papers that have together received 1.5k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (14 papers), Diet and metabolism studies (10 papers), Liver Disease Diagnosis and Treatment (7 papers), Mitochondrial Function and Pathology (7 papers), Metabolism and Genetic Disorders (6 papers), Metabolism, Diabetes, and Cancer (4 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers) and Diet, Metabolism, and Disease (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (304 citations), Toxicology (53 citations), Cancer Research (220 citations), Biochemistry (103 citations) and Clinical Biochemistry (86 citations). Stanisław Deja has collaborated with scholars based in United States, Poland and Germany. Frequent co-authors include Shawn C. Burgess, Xiaorong Fu, Piotr Młynarz, Melissa R. Iñigo, Jeffrey D. Browning, Justin A. Fletcher, Adam Ząbek, Blanka Kucejová, Magdalena Orczyk‐Pawiłowicz and Jay D. Horton. Their work appears in journals such as Cell Metabolism, Journal of Pharmaceutical and Biomedical Analysis, PLoS ONE, Metabolic Engineering and Diabetes.
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.