Dana Banas

455 total citations
2 papers, 85 citations indexed

About

Dana Banas is a scholar working on Immunology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Dana Banas has authored 2 papers receiving a total of 85 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Immunology, 1 paper in Genetics and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Dana Banas's work include Lymphoma Diagnosis and Treatment (1 paper), T-cell and B-cell Immunology (1 paper) and Monoclonal and Polyclonal Antibodies Research (1 paper). Dana Banas is often cited by papers focused on Lymphoma Diagnosis and Treatment (1 paper), T-cell and B-cell Immunology (1 paper) and Monoclonal and Polyclonal Antibodies Research (1 paper). Dana Banas collaborates with scholars based in United States and India. Dana Banas's co-authors include Scott H. Watterson, James R. Burke, Kim W. McIntyre, Kathleen M. Gillooly, Stacey Skala, Lihong Cheng, Joseph A. Tino, Daniel Kukral, Aberra Fura and Tracy Taylor and has published in prestigious journals such as PLoS ONE and JCI Insight.

In The Last Decade

Dana Banas

2 papers receiving 81 citations

Peers

Countries citing papers authored by Dana Banas

Since Specialization

Citations

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

Fields of papers citing papers by Dana Banas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dana Banas

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

All Works

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2 of 2 papers shown

#	Work	Indexed citations
1	Bruton's tyrosine kinase inhibitor BMS-986142 in experimental models of rheumatoid arthritis enhances efficacy of agents representing clinical standard-of-care 2017 ·PLoS ONE ·Kathleen M. Gillooly, Claudine Pulicicchio, Mark A. Pattoli, Lihong Cheng, Stacey Skala, Elizabeth Heimrich, Kim W. McIntyre, Tracy Taylor, Daniel Kukral, Shailesh Dudhgaonkar, (unknown), Dana Banas, Scott H. Watterson, Joseph A. Tino, Aberra Fura, James R. Burke	47
2	B cells from African American lupus patients exhibit an activated phenotype 2016 ·JCI Insight ·Laurence Ménard, (unknown), Waldemar Gonsiorek, Deborah Lee, Dana Banas, (unknown), Nataly Manjarrez‐Orduño, Mark Cunningham, Dawn K. Stetsko, (unknown), (unknown), Patricia M. Davis, Julie Carman, Hu Zhang, (unknown), Richard Furie, Steven G. Nadler, Suzanne J. Suchard	38

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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