S. Songer

1.4k total citations
4 papers, 91 citations indexed

About

S. Songer is a scholar working on Hematology, Genetics and Oncology. According to data from OpenAlex, S. Songer has authored 4 papers receiving a total of 91 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Hematology, 3 papers in Genetics and 2 papers in Oncology. Recurrent topics in S. Songer's work include Acute Myeloid Leukemia Research (4 papers), Neutropenia and Cancer Infections (2 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers). S. Songer is often cited by papers focused on Acute Myeloid Leukemia Research (4 papers), Neutropenia and Cancer Infections (2 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers). S. Songer collaborates with scholars based in Australia, United Kingdom and Spain. S. Songer's co-authors include Mark D. Minden, John F. Seymour, C.L. Beach, Richard M. Stone, Haifa Kathrin Al‐Ali, Nora Tu, Barry Skikne, Paresh Vyas, Hartmut Döhner and Hervé Dombret and has published in prestigious journals such as Leukemia, Leukemia Research and Asia-Pacific Journal of Clinical Oncology.

In The Last Decade

S. Songer

4 papers receiving 91 citations

Peers

S. Songer
Evan Massi United States
Jason Van Oostendorp United Kingdom
Jayant Y. Gadrey United States
Hikari Osaki United Kingdom
Hanna Janke Germany
Caroline Almon United States
S. Songer
Citations per year, relative to S. Songer S. Songer (= 1×) peers Ying‐Chieh Chiang

Countries citing papers authored by S. Songer

Since Specialization
Citations

This map shows the geographic impact of S. Songer'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 S. Songer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Songer more than expected).

Fields of papers citing papers by S. Songer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Songer. 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 S. Songer. The network helps show where S. Songer may publish in the future.

Co-authorship network of co-authors of S. Songer

This figure shows the co-authorship network connecting the top 25 collaborators of S. Songer. A scholar is included among the top collaborators of S. Songer 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 S. Songer. S. Songer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

4 of 4 papers shown
1.
Döhner, Hartmut, Anna Dolnik, Lin Tang, et al.. (2018). Cytogenetics and gene mutations influence survival in older patients with acute myeloid leukemia treated with azacitidine or conventional care. Leukemia. 32(12). 2546–2557. 82 indexed citations
2.
Seymour, J.F., Rena Buckstein, Valeria Santini, et al.. (2017). Azacitidine Versus Conventional Care Regimens (CCR) in Elderly Patients (≥75 Years) with Acute Myeloid Leukemia (AML) in the AZA-AML-001 Study. Leukemia Research. 55. S67–S68. 1 indexed citations
3.
Chou, Wen‐Chien, Su‐Peng Yeh, Liang‐Tsai Hsiao, et al.. (2017). Efficacy, safety, and pharmacokinetics of subcutaneous azacitidine in Taiwanese patients with higher‐risk myelodysplastic syndromes. Asia-Pacific Journal of Clinical Oncology. 13(5). e430–e439. 5 indexed citations
4.
Döhner, Hartmut, J.F. Seymour, Pascal Turlure, et al.. (2017). Stable Disease with Hematologic Improvement is Clinically Meaningful for Older Patients with Acute Myeloid Leukemia (AML) Treated with Azacitidine. Leukemia Research. 55. S68–S69. 3 indexed citations

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.

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