Benjamin D. McDonald

2.4k total citations · 2 hit papers
13 papers, 1.5k citations indexed

About

Benjamin D. McDonald is a scholar working on Immunology, Molecular Biology and Hematology. According to data from OpenAlex, Benjamin D. McDonald has authored 13 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Immunology, 4 papers in Molecular Biology and 3 papers in Hematology. Recurrent topics in Benjamin D. McDonald's work include Immune Cell Function and Interaction (8 papers), IL-33, ST2, and ILC Pathways (5 papers) and Immunodeficiency and Autoimmune Disorders (3 papers). Benjamin D. McDonald is often cited by papers focused on Immune Cell Function and Interaction (8 papers), IL-33, ST2, and ILC Pathways (5 papers) and Immunodeficiency and Autoimmune Disorders (3 papers). Benjamin D. McDonald collaborates with scholars based in United States, Canada and Japan. Benjamin D. McDonald's co-authors include Albert Bendelac, Michael G. Constantinides, Philip A. Verhoef, Bana Jabrì, Isabel E. Ishizuka, Jeffrey J. Bunker, Alexander L. Dent, Jason Koval, Dustin G. Shaw and Patrick C. Wilson and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.

In The Last Decade

Benjamin D. McDonald

13 papers receiving 1.5k citations

Hit Papers

A committed precursor to innate lymphoid cells 2014 2026 2018 2022 2014 2015 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A committed precursor to innate lymphoid cells
    2014 623 citations Michael G. Constantinides, Benjamin D. McDonald et al. Nature profile →
  2. Innate and Adaptive Humoral Responses Coat Distinct Commensal Bacteria with Immunoglobulin A
    2015 409 citations Jeffrey J. Bunker, Theodore M. Flynn et al. Immunity profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benjamin D. McDonald United States 12 1.2k 473 384 150 95 13 1.5k
Carolina Galan United States 9 813 0.7× 243 0.5× 605 1.6× 207 1.4× 186 2.0× 13 1.4k
Isabel E. Ishizuka United States 8 588 0.5× 198 0.4× 333 0.9× 132 0.9× 79 0.8× 9 905
Sascha Cording France 11 787 0.7× 139 0.3× 399 1.0× 143 1.0× 111 1.2× 12 1.2k
Carol Shen United States 10 595 0.5× 180 0.4× 357 0.9× 117 0.8× 170 1.8× 16 1.1k
Elin Jaensson Gyllenbäck Sweden 12 1.2k 1.1× 120 0.3× 367 1.0× 100 0.7× 150 1.6× 19 1.6k
Naoko Satoh‐Takayama Japan 19 2.7k 2.3× 1.5k 3.2× 485 1.3× 194 1.3× 162 1.7× 33 3.1k
Yugang Wang China 16 626 0.5× 164 0.3× 278 0.7× 106 0.7× 77 0.8× 37 1.1k
Alessandra Chen United States 6 441 0.4× 133 0.3× 478 1.2× 212 1.4× 129 1.4× 9 952
Ce Tang Japan 15 511 0.4× 121 0.3× 428 1.1× 162 1.1× 150 1.6× 28 1.1k
Laura Cook Canada 20 361 0.3× 265 0.6× 247 0.6× 161 1.1× 193 2.0× 34 1.2k

Countries citing papers authored by Benjamin D. McDonald

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin D. McDonald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benjamin D. McDonald. 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 Benjamin D. McDonald. The network helps show where Benjamin D. McDonald may publish in the future.

Co-authorship network of co-authors of Benjamin D. McDonald

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

All Works

13 of 13 papers shown
1.
Riesenfeld, Samantha J., et al.. (2024). Eomes expression identifies the early bone marrow precursor to classical NK cells. Nature Immunology. 25(7). 1172–1182. 13 indexed citations
2.
Choi, David, Benjamin D. McDonald, & David T. Rubin. (2024). Immediate Infusion Reaction to Intravenous Risankizumab-rzaa but Subsequent Tolerance to Subcutaneous Risankizumab-rzaa. ACG Case Reports Journal. 11(11). e01546–e01546. 1 indexed citations
3.
McDonald, Benjamin D., Emma Dyer, & David T. Rubin. (2022). IL-23 Monoclonal Antibodies for IBD: So Many, So Different?. Journal of Crohn s and Colitis. 16(Supplement_2). ii42–ii53. 23 indexed citations
4.
McDonald, Benjamin D., Bana Jabrì, & Albert Bendelac. (2018). Diverse developmental pathways of intestinal intraepithelial lymphocytes. Nature reviews. Immunology. 18(8). 514–525. 120 indexed citations
5.
McDonald, Benjamin D., Jeffrey J. Bunker, Steven A. Erickson, Masatsugu Oh‐hora, & Albert Bendelac. (2015). Crossreactive αβ T Cell Receptors Are the Predominant Targets of Thymocyte Negative Selection. Immunity. 43(5). 859–869. 62 indexed citations
6.
Bunker, Jeffrey J., Theodore M. Flynn, Jason Koval, et al.. (2015). Innate and Adaptive Humoral Responses Coat Distinct Commensal Bacteria with Immunoglobulin A. Immunity. 43(3). 541–553. 409 indexed citations breakdown →
7.
Verhoef, Philip A., Michael G. Constantinides, Benjamin D. McDonald, et al.. (2015). Intrinsic functional defects of type 2 innate lymphoid cells impair innate allergic inflammation in promyelocytic leukemia zinc finger (PLZF)–deficient mice. Journal of Allergy and Clinical Immunology. 137(2). 591–600.e1. 27 indexed citations
8.
Constantinides, Michael G., Herman Gudjonson, Benjamin D. McDonald, et al.. (2015). PLZF expression maps the early stages of ILC1 lineage development. Proceedings of the National Academy of Sciences. 112(16). 5123–5128. 128 indexed citations
9.
McDonald, Benjamin D., Jeffrey J. Bunker, Isabel E. Ishizuka, Bana Jabrì, & Albert Bendelac. (2014). Elevated T Cell Receptor Signaling Identifies a Thymic Precursor to the TCRαβ+CD4−CD8β− Intraepithelial Lymphocyte Lineage. Immunity. 41(2). 219–229. 74 indexed citations
10.
Constantinides, Michael G., Benjamin D. McDonald, Philip A. Verhoef, & Albert Bendelac. (2014). A committed precursor to innate lymphoid cells. Nature. 508(7496). 397–401. 623 indexed citations breakdown →
11.
Mathew, Rebecca, Aiping Mao, Andrew H. Chiang, et al.. (2014). A negative feedback loop mediated by the Bcl6–cullin 3 complex limits Tfh cell differentiation. The Journal of Experimental Medicine. 211(6). 1137–1151. 19 indexed citations
12.
Organisciak, Daniel T., Ruth Darrow, Linda Barsalou, et al.. (2010). Light Induced and Circadian Effects on Retinal Photoreceptor Cell Crystallins. Photochemistry and Photobiology. 87(1). 151–159. 13 indexed citations
13.
Jaworski, C., et al.. (1998). Analysis of a Human cDNA Containing a Tissue-Specific Alternatively Spliced LIM Domain. Biochemical and Biophysical Research Communications. 252(2). 433–439. 23 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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