Krystian Jażdżewski
- Molecular Biology top 5%
- Cancer Research top 0.5%
- Endocrinology, Diabetes and Metabolism top 2%
- Genetics top 10%
- Immunology top 10%
- Co-authors
- Albert de la ChapelleKaarle FranssilaBarbara JarząbSandya LiyanarachchiElizabeth MurrayDaniel R. SchoenbergHuiling HeRebecca Nagy
- Topics
- MicroRNA in disease regulation (19 papers)Cancer-related molecular mechanisms research (16 papers)Circular RNAs in diseases (9 papers)
- Journals
- Proceedings of the National Academy of SciencesPLoS ONEThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- PolandUnited StatesJapan
In The Last Decade
Krystian Jażdżewski
34 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Molecular Biology 2.1k
- Cancer Research 2.0k
- Endocrinology, Diabetes and Metabolism 627
- Genetics 337
- Immunology 337
Countries citing papers authored by Krystian Jażdżewski
This map shows the geographic impact of Krystian Jażdżewski'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 Krystian Jażdżewski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Krystian Jażdżewski more than expected).
Fields of papers citing papers by Krystian Jażdżewski
This network shows the impact of papers produced by Krystian Jażdżewski. 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 Krystian Jażdżewski. The network helps show where Krystian Jażdżewski may publish in the future.
Co-authorship network of co-authors of Krystian Jażdżewski
This figure shows the co-authorship network connecting the top 25 collaborators of Krystian Jażdżewski. A scholar is included among the top collaborators of Krystian Jażdżewski 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 Krystian Jażdżewski. Krystian Jażdżewski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 3 | |
| 4 | 7 | |
| 5 | 33 | |
| 6 | 10 | |
| 7 | 46 | |
| 8 | 23 | |
| 9 | 20 | |
| 10 | 34 | |
| 11 | 76 | |
| 12 | 114 | |
| 13 | 56 | |
| 14 | 24 | |
| 15 | 260 | |
| 16 | Common SNP in pre-miR-146a decreases mature miR expression and predisposes to papillary thyroid carcinomabreakdown → | 720 |
| 17 | 13 | |
| 18 | 115 | |
| 19 | 49 | |
| 20 | 86 |
About Krystian Jażdżewski
Krystian Jażdżewski is a scholar working on Cancer Research, Developmental Biology and Endocrinology, Diabetes and Metabolism, having authored 36 papers that have together received 3.1k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (19 papers), Cancer-related molecular mechanisms research (16 papers) and Circular RNAs in diseases (9 papers). The work is most often cited by research in Cancer Research (2.0k citations), Endocrinology, Diabetes and Metabolism (627 citations) and Molecular Biology (2.1k citations). Krystian Jażdżewski has collaborated with scholars based in Poland, United States and Japan. Frequent co-authors include Albert de la Chapelle, Kaarle Franssila, Barbara Jarząb, Sandya Liyanarachchi, Elizabeth Murray, Daniel R. Schoenberg, Huiling He, Rebecca Nagy, Stefano Volinia and George A. Calin. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.
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.