Barbara S. Nikolajczyk
- Immunology top 1%
- Molecular Biology top 5%
- Epidemiology top 2%
- Physiology top 5%
- Genetics top 5%
- Co-authors
- Gerald V. DenisAnna C. BelkinaRui LiuMadhumita Jagannathan‐BogdanMarie E. McDonnellHyunjin ShinCaroline M. ApovianHatice Hastürk
- Topics
- Immune Cell Function and Interaction (27 papers)Adipokines, Inflammation, and Metabolic Diseases (22 papers)Diabetes and associated disorders (14 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistrySHILAP Revista de lepidopterología
- Partner nations
- United StatesIrelandGermany
In The Last Decade
Barbara S. Nikolajczyk
78 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Immunology 1.7k
- Molecular Biology 1.3k
- Epidemiology 1.1k
- Physiology 724
- Genetics 529
Countries citing papers authored by Barbara S. Nikolajczyk
This map shows the geographic impact of Barbara S. Nikolajczyk'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 Barbara S. Nikolajczyk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara S. Nikolajczyk more than expected).
Fields of papers citing papers by Barbara S. Nikolajczyk
This network shows the impact of papers produced by Barbara S. Nikolajczyk. 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 Barbara S. Nikolajczyk. The network helps show where Barbara S. Nikolajczyk may publish in the future.
Co-authorship network of co-authors of Barbara S. Nikolajczyk
This figure shows the co-authorship network connecting the top 25 collaborators of Barbara S. Nikolajczyk. A scholar is included among the top collaborators of Barbara S. Nikolajczyk 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 Barbara S. Nikolajczyk. Barbara S. Nikolajczyk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 69 | |
| 3 | 6 | |
| 4 | Metabolic reprogramming of natural killer cells in obesity limits antitumor responsesbreakdown → | 448 |
| 5 | 54 | |
| 6 | 34 | |
| 7 | 16 | |
| 8 | 19 | |
| 9 | Th17 cytokines differentiate obesity from obesity-associated type 2 diabetes and promote TNFα production | 38 |
| 10 | 41 | |
| 11 | 41 | |
| 12 | 51 | |
| 13 | 36 | |
| 14 | 80 | |
| 15 | 38 | |
| 16 | 48 | |
| 17 | 3 | |
| 18 | 20 | |
| 19 | 36 | |
| 20 | 8 |
About Barbara S. Nikolajczyk
Barbara S. Nikolajczyk is a scholar working on Immunology, Biological Psychiatry and Periodontics, having authored 78 papers that have together received 4.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (27 papers), Adipokines, Inflammation, and Metabolic Diseases (22 papers) and Diabetes and associated disorders (14 papers). The work is most often cited by research in Immunology (1.7k citations), Biological Psychiatry (93 citations) and Epidemiology (1.1k citations). Barbara S. Nikolajczyk has collaborated with scholars based in United States, Ireland and Germany. Frequent co-authors include Gerald V. Denis, Anna C. Belkina, Rui Liu, Madhumita Jagannathan‐Bogdan, Marie E. McDonnell, Hyunjin Shin, Caroline M. Apovian, Hatice Hastürk, Min Zhu and Leena P. Bharath. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
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.