Maria Siemionow
- Surgery top 0.5%
- Transplantation top 0.05%
- Public Health, Environmental and Occupational Health top 1%
- Cellular and Molecular Neuroscience top 2%
- Molecular Biology top 10%
- Co-authors
- Aleksandra KlimczakGrzegorz BrzezickiGalip AğaoğluKağan ÖzerChad R. GordonEmrah ArslanJames E. ZinsMehmet Bozkurt
- Topics
- Organ and Tissue Transplantation Research (169 papers)Reconstructive Surgery and Microvascular Techniques (83 papers)Nerve injury and regeneration (42 papers)
- Journals
- The LancetSHILAP Revista de lepidopterologíaBlood
- Partner nations
- United StatesPolandTürkiye
In The Last Decade
Maria Siemionow
310 papers receiving 6.8k citations
Peers
Comparison fields: 5 of 135
- Surgery 4.0k
- Transplantation 3.4k
- Public Health, Environmental and Occupational Health 1.1k
- Cellular and Molecular Neuroscience 1.1k
- Molecular Biology 751
Countries citing papers authored by Maria Siemionow
This map shows the geographic impact of Maria Siemionow'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 Maria Siemionow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Siemionow more than expected).
Fields of papers citing papers by Maria Siemionow
This network shows the impact of papers produced by Maria Siemionow. 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 Maria Siemionow. The network helps show where Maria Siemionow may publish in the future.
Co-authorship network of co-authors of Maria Siemionow
This figure shows the co-authorship network connecting the top 25 collaborators of Maria Siemionow. A scholar is included among the top collaborators of Maria Siemionow 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 Maria Siemionow. Maria Siemionow 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 | 1 | |
| 3 | 11 | |
| 4 | 12 | |
| 5 | 5 | |
| 6 | 10 | |
| 7 | 17 | |
| 8 | 2 | |
| 9 | 10 | |
| 10 | 20 | |
| 11 | YÜZ TRANSPLANTASYONU: DÜNÜ BUGÜNÜ VE YARINI | 0 |
| 12 | 57 | |
| 13 | 26 | |
| 14 | 38 | |
| 15 | 84 | |
| 16 | 7 | |
| 17 | 6 | |
| 18 | 4 | |
| 19 | 26 | |
| 20 | 10 |
About Maria Siemionow
Maria Siemionow is a scholar working on Transplantation, Surgery and Genetics, having authored 324 papers that have together received 7.1k indexed citations. Recurring topics across this work include Organ and Tissue Transplantation Research (169 papers), Reconstructive Surgery and Microvascular Techniques (83 papers) and Nerve injury and regeneration (42 papers). The work is most often cited by research in Transplantation (3.4k citations), Surgery (4.0k citations) and Cellular and Molecular Neuroscience (1.1k citations). Maria Siemionow has collaborated with scholars based in United States, Poland and Türkiye. Frequent co-authors include Aleksandra Klimczak, Grzegorz Brzezicki, Galip Ağaoğlu, Kağan Özer, Chad R. Gordon, Emrah Arslan, James E. Zins, Mehmet Bozkurt, Yavuz Demır and Can Öztürk. Their work appears in journals such as The Lancet, SHILAP Revista de lepidopterología and Blood.
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.