Sikic Bi

13 papers and 534 indexed citations i.

About

Sikic Bi is a scholar working on Molecular Biology, Oncology and Organic Chemistry. According to data from OpenAlex, Sikic Bi has authored 13 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Oncology and 3 papers in Organic Chemistry. Recurrent topics in Sikic Bi’s work include Cancer therapeutics and mechanisms (7 papers), Drug Transport and Resistance Mechanisms (5 papers) and Chemokine receptors and signaling (2 papers). Sikic Bi is often cited by papers focused on Cancer therapeutics and mechanisms (7 papers), Drug Transport and Resistance Mechanisms (5 papers) and Chemokine receptors and signaling (2 papers). Sikic Bi collaborates with scholars based in United States. Sikic Bi's co-authors include RA Warnke, NJ Chao, KG Blume, Michiko Aihara, Raymond L. Furner, Guarino Am, Susan Arnold and Michael Koretz and has published in prestigious journals such as PubMed.

In The Last Decade

Co-authorship network of co-authors of Sikic Bi i

Fields of papers citing papers by Sikic Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sikic Bi

Since Specialization
Citations

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