Katherine G. MacDonald

970 total citations
8 papers, 759 citations indexed

About

Katherine G. MacDonald is a scholar working on Immunology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Katherine G. MacDonald has authored 8 papers receiving a total of 759 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 3 papers in Oncology and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Katherine G. MacDonald's work include T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (6 papers) and CAR-T cell therapy research (3 papers). Katherine G. MacDonald is often cited by papers focused on T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (6 papers) and CAR-T cell therapy research (3 papers). Katherine G. MacDonald collaborates with scholars based in Canada and United States. Katherine G. MacDonald's co-authors include Megan K. Levings, Raewyn Broady, Romy E. Hoeppli, Paul C. Orban, Dan S. Luciani, Jana Gillies, Qing Huang, Theodore S. Steiner, Megan E. Himmel and Rosa V. Garcia and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Immunology and Journal of Allergy and Clinical Immunology.

In The Last Decade

Katherine G. MacDonald

7 papers receiving 753 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Katherine G. MacDonald Canada 7 552 272 100 83 78 8 759
Thamara Beyer Germany 8 615 1.1× 205 0.8× 102 1.0× 32 0.4× 54 0.7× 16 768
Lucie Leveque Australia 12 635 1.2× 127 0.5× 104 1.0× 55 0.7× 33 0.4× 20 789
Sorina Tugulea United States 16 515 0.9× 138 0.5× 115 1.1× 67 0.8× 117 1.5× 22 899
Jessica Sachs United States 9 497 0.9× 442 1.6× 112 1.1× 162 2.0× 90 1.2× 23 790
Sim L. Tung United Kingdom 12 597 1.1× 130 0.5× 351 3.5× 63 0.8× 23 0.3× 15 910
Simon Le Gallou France 14 551 1.0× 122 0.4× 158 1.6× 61 0.7× 170 2.2× 23 896
Romy E. Hoeppli Canada 10 588 1.1× 352 1.3× 100 1.0× 92 1.1× 12 0.2× 17 786
Jennine Cornelius United States 4 295 0.5× 83 0.3× 76 0.8× 61 0.7× 78 1.0× 4 540
Fengshuo Lan United States 12 866 1.6× 518 1.9× 123 1.2× 161 1.9× 68 0.9× 14 1.1k
Harinder Manku United Kingdom 6 665 1.2× 121 0.4× 84 0.8× 79 1.0× 51 0.7× 6 830

Countries citing papers authored by Katherine G. MacDonald

Since Specialization
Citations

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

Fields of papers citing papers by Katherine G. MacDonald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katherine G. MacDonald. 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 Katherine G. MacDonald. The network helps show where Katherine G. MacDonald may publish in the future.

Co-authorship network of co-authors of Katherine G. MacDonald

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

All Works

8 of 8 papers shown
1.
Lee, Peter S., Katherine G. MacDonald, Christine Bee, et al.. (2022). Improved therapeutic index of an acidic pH-selective antibody. mAbs. 14(1). 2024642–2024642. 19 indexed citations
2.
MacDonald, Katherine G., Romy E. Hoeppli, Qing Huang, et al.. (2016). Generation of alloantigen-specific T regulatory cells via a chimeric antigen receptor targeting HLA-A2. The Journal of Immunology. 196(1_Supplement). 140.6–140.6.
3.
MacDonald, Katherine G., Romy E. Hoeppli, Qing Huang, et al.. (2016). Alloantigen-specific regulatory T cells generated with a chimeric antigen receptor. Journal of Clinical Investigation. 126(4). 1413–1424. 370 indexed citations
4.
Hoeppli, Romy E., Katherine G. MacDonald, Megan K. Levings, & Laura Cook. (2016). How antigen specificity directs regulatory T‐cell function: self, foreign and engineered specificity. HLA. 88(1-2). 3–13. 26 indexed citations
5.
MacDonald, Katherine G., Nicholas A.J. Dawson, Qing Huang, et al.. (2015). Regulatory T cells produce profibrotic cytokines in the skin of patients with systemic sclerosis. Journal of Allergy and Clinical Immunology. 135(4). 946–955.e9. 128 indexed citations
6.
Vent‐Schmidt, Jens, Jonathan M. Han, Katherine G. MacDonald, & Megan K. Levings. (2013). The Role of FOXP3 in Regulating Immune Responses. International Reviews of Immunology. 33(2). 110–128. 34 indexed citations
7.
Himmel, Megan E., Katherine G. MacDonald, Rosa V. Garcia, Theodore S. Steiner, & Megan K. Levings. (2013). Helios+ and Helios− Cells Coexist within the Natural FOXP3+ T Regulatory Cell Subset in Humans. The Journal of Immunology. 190(5). 2001–2008. 163 indexed citations
8.
MacDonald, Katherine G., Paul C. Orban, & Megan K. Levings. (2012). T regulatory cell therapy in transplantation. Current Opinion in Organ Transplantation. 17(4). 343–348. 19 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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