Jacqueline Bailey

50 total papers · 450 total citations
6 papers, 290 citations indexed

About

Jacqueline Bailey is a scholar working on Immunology, Oncology and Surgery. According to data from OpenAlex, Jacqueline Bailey has authored 6 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 2 papers in Oncology and 1 paper in Surgery. Recurrent topics in Jacqueline Bailey's work include Immune cells in cancer (2 papers), Immunotherapy and Immune Responses (2 papers) and T-cell and B-cell Immunology (2 papers). Jacqueline Bailey is often cited by papers focused on Immune cells in cancer (2 papers), Immunotherapy and Immune Responses (2 papers) and T-cell and B-cell Immunology (2 papers). Jacqueline Bailey collaborates with scholars based in Australia, Japan and Germany. Jacqueline Bailey's co-authors include Tatyana Chtanova, Henry R. Hampton, Robert Brink, Michio Tomura, Jon Timmis, Mark Read, Shane T. Grey, Tobias Bald, David Gallego‐Ortega and Leonard D. Goldstein and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Cancer Research.

In The Last Decade

Jacqueline Bailey

6 papers receiving 288 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jacqueline Bailey 188 102 65 24 18 6 290
Ania Bogoslowski 180 1.0× 59 0.6× 116 1.8× 22 0.9× 29 1.6× 9 324
Lukas M. Altenburger 122 0.6× 89 0.9× 78 1.2× 26 1.1× 19 1.1× 7 259
Olga Halle 205 1.1× 104 1.0× 86 1.3× 20 0.8× 9 0.5× 6 306
Dagmar Halbritter 207 1.1× 74 0.7× 89 1.4× 12 0.5× 7 0.4× 10 323
Sheri A. C. McDowell 147 0.8× 74 0.7× 58 0.9× 19 0.8× 16 0.9× 5 205
Sara Al Habyan 144 0.8× 99 1.0× 81 1.2× 61 2.5× 10 0.6× 5 323
Haizeng Zhang 129 0.7× 136 1.3× 40 0.6× 26 1.1× 5 0.3× 6 233
Nader Atlasy 153 0.8× 38 0.4× 100 1.5× 16 0.7× 7 0.4× 8 312
Cheryl Kim 244 1.3× 50 0.5× 98 1.5× 9 0.4× 6 0.3× 8 329
Simon F. Merz 150 0.8× 61 0.6× 61 0.9× 28 1.2× 6 0.3× 11 266

Countries citing papers authored by Jacqueline Bailey

Since Specialization
Citations

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

Fields of papers citing papers by Jacqueline Bailey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacqueline Bailey

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

All Works

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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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