Marcin Sikora
- Cancer Research top 10%
- Computer Networks and Communications top 5%
- Pulmonary and Respiratory Medicine top 10%
- Electrical and Electronic Engineering
- Oncology
- Co-authors
- Daniel J. CostelloThomas E. FujaMartin HaenggiJ. Nicholas LanemanMarcin GołębiewskiDarya ChudovaAmirAli TalasazRichard B. Lanman
- Topics
- Cancer Genomics and Diagnostics (8 papers)Error Correcting Code Techniques (6 papers)Advanced Wireless Communication Techniques (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsPLoS ONE
- Partner nations
- PolandUnited StatesUnited Kingdom
In The Last Decade
Marcin Sikora
44 papers receiving 964 citations
Peers
Comparison fields: 5 of 105
- Cancer Research 277
- Computer Networks and Communications 245
- Pulmonary and Respiratory Medicine 230
- Electrical and Electronic Engineering 206
- Oncology 173
Countries citing papers authored by Marcin Sikora
This map shows the geographic impact of Marcin Sikora'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 Marcin Sikora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcin Sikora more than expected).
Fields of papers citing papers by Marcin Sikora
This network shows the impact of papers produced by Marcin Sikora. 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 Marcin Sikora. The network helps show where Marcin Sikora may publish in the future.
Co-authorship network of co-authors of Marcin Sikora
This figure shows the co-authorship network connecting the top 25 collaborators of Marcin Sikora. A scholar is included among the top collaborators of Marcin Sikora 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 Marcin Sikora. Marcin Sikora 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 | 0 | |
| 3 | 2 | |
| 4 | 14 | |
| 5 | 28 | |
| 6 | 27 | |
| 7 | 283 | |
| 8 | 49 | |
| 9 | Association between COMT Val158Met and DAT1 polymorphisms and depressive symptoms in the obese population | 4 |
| 10 | 8 | |
| 11 | 15 | |
| 12 | 21 | |
| 13 | 44 | |
| 14 | 16 | |
| 15 | 18 | |
| 16 | 19 | |
| 17 | 5 | |
| 18 | Interaction of Coding and Multihop Transmission in Wireless Networks | 0 |
| 19 | Correlations between polymorphisms in genes coding elements of dopaminergic pathways and body mass index in overweight and obese women. | 15 |
| 20 | 19 |
About Marcin Sikora
Marcin Sikora is a scholar working on Cancer Research, Insect Science and Computer Networks and Communications, having authored 48 papers that have together received 987 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (8 papers), Error Correcting Code Techniques (6 papers) and Advanced Wireless Communication Techniques (6 papers). The work is most often cited by research in Cancer Research (277 citations), Computer Networks and Communications (245 citations) and Pulmonary and Respiratory Medicine (230 citations). Marcin Sikora has collaborated with scholars based in Poland, United States and United Kingdom. Frequent co-authors include Daniel J. Costello, Thomas E. Fuja, Martin Haenggi, J. Nicholas Laneman, Marcin Gołębiewski, Darya Chudova, AmirAli Talasaz, Richard B. Lanman, Stephen R. Fairclough and Justin I. Odegaard. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.
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.