Semra Paydaş
About
In The Last Decade
Semra Paydaş
184 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 112
- Oncology 1.0k
- Pathology and Forensic Medicine 633
- Molecular Biology 627
- Hematology 563
- Genetics 425
Countries citing papers authored by Semra Paydaş
This map shows the geographic impact of Semra Paydaş'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 Semra Paydaş with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Semra Paydaş more than expected).
Fields of papers citing papers by Semra Paydaş
This network shows the impact of papers produced by Semra Paydaş. 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 Semra Paydaş. The network helps show where Semra Paydaş may publish in the future.
Co-authorship network of co-authors of Semra Paydaş
This figure shows the co-authorship network connecting the top 25 collaborators of Semra Paydaş. A scholar is included among the top collaborators of Semra Paydaş 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 Semra Paydaş. Semra Paydaş is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 0 | |
| 12 | 9 | |
| 13 | 4 | |
| 14 | 1 | |
| 15 | 5 | |
| 16 | 5 | |
| 17 | 1 | |
| 18 | 4 | |
| 19 | Flow cytometric evaluation of bone marrow plasma cells using CD19, CD45, CD56, CD38, and CD138 and correlation with bone marrow infiltration ratio in multiple myeloma patients. | 9 |
| 20 | 5 |
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.