S Serve

6 papers and 621 indexed citations i.

About

S Serve is a scholar working on Oncology, Immunology and Hematology. According to data from OpenAlex, S Serve has authored 6 papers receiving a total of 621 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 2 papers in Immunology and 2 papers in Hematology. Recurrent topics in S Serve’s work include Cytokine Signaling Pathways and Interactions (4 papers), Chronic Myeloid Leukemia Treatments (2 papers) and Acute Myeloid Leukemia Research (2 papers). S Serve is often cited by papers focused on Cytokine Signaling Pathways and Interactions (4 papers), Chronic Myeloid Leukemia Treatments (2 papers) and Acute Myeloid Leukemia Research (2 papers). S Serve collaborates with scholars based in Germany, Japan and United States. S Serve's co-authors include Hubert Serve, Wolfgang E. Berdel, R. Fenski, Hartmut Halfter, Rainer Schmidt, Masao Mizuki, W Grüning, Carsten Müller‐Tidow, Yuzuru Kanakura and Karsten Kratz‐Albers and has published in prestigious journals such as Blood, Journal of Neurochemistry and International Journal of Oncology.

In The Last Decade

Co-authorship network of co-authors of S Serve i

Fields of papers citing papers by S Serve

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by S Serve

Since Specialization
Citations

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

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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2025