Małgorzata Wiench
- Molecular Biology top 10%
- Endocrinology, Diabetes and Metabolism top 2%
- Genetics top 10%
- Oncology
- Cancer Research top 10%
- Co-authors
- Gordon L. HagerSam JohnThomas A. JohnsonBarbara JarząbDiana A. StavrevaE GubałaMichał JarząbJan Włoch
- Topics
- Thyroid Cancer Diagnosis and Treatment (15 papers)Bioinformatics and Genomic Networks (7 papers)Gene expression and cancer classification (5 papers)
- Partner nations
- PolandUnited StatesUnited Kingdom
In The Last Decade
Małgorzata Wiench
38 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 110
- Molecular Biology 889
- Endocrinology, Diabetes and Metabolism 512
- Genetics 287
- Oncology 205
- Cancer Research 192
Countries citing papers authored by Małgorzata Wiench
This map shows the geographic impact of Małgorzata Wiench'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 Małgorzata Wiench with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Małgorzata Wiench more than expected).
Fields of papers citing papers by Małgorzata Wiench
This network shows the impact of papers produced by Małgorzata Wiench. 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 Małgorzata Wiench. The network helps show where Małgorzata Wiench may publish in the future.
Co-authorship network of co-authors of Małgorzata Wiench
This figure shows the co-authorship network connecting the top 25 collaborators of Małgorzata Wiench. A scholar is included among the top collaborators of Małgorzata Wiench 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 Małgorzata Wiench. Małgorzata Wiench is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 18 | |
| 4 | 16 | |
| 5 | 23 | |
| 6 | 16 | |
| 7 | 26 | |
| 8 | 112 | |
| 9 | 97 | |
| 10 | 31 | |
| 11 | 290 | |
| 12 | 10 | |
| 13 | 16 | |
| 14 | 62 | |
| 15 | 65 | |
| 16 | 149 | |
| 17 | [Gene expression analysis by DNA microarray in papillary thyroid cancer]. | 6 |
| 18 | Loss of heterozygosity in 73 human thyroid tumors. | 6 |
| 19 | 25 | |
| 20 | 1 |
About Małgorzata Wiench
Małgorzata Wiench is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Genetics, having authored 38 papers that have together received 1.6k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (15 papers), Bioinformatics and Genomic Networks (7 papers) and Gene expression and cancer classification (5 papers). The work is most often cited by research in Behavioral Neuroscience (145 citations), Endocrinology, Diabetes and Metabolism (512 citations) and Molecular Biology (889 citations). Małgorzata Wiench has collaborated with scholars based in Poland, United States and United Kingdom. Frequent co-authors include Gordon L. Hager, Sam John, Thomas A. Johnson, Barbara Jarząb, Diana A. Stavreva, E Gubała, Michał Jarząb, Jan Włoch, Becky Conway-Campbell and Ty C. Voss. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and The EMBO Journal.
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.