Pearl Gray

3.2k total citations · 1 hit paper
14 papers, 2.4k citations indexed

About

Pearl Gray is a scholar working on Immunology, Cancer Research and Molecular Biology. According to data from OpenAlex, Pearl Gray has authored 14 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Immunology, 7 papers in Cancer Research and 3 papers in Molecular Biology. Recurrent topics in Pearl Gray's work include Immune Response and Inflammation (9 papers), NF-κB Signaling Pathways (7 papers) and Immune cells in cancer (2 papers). Pearl Gray is often cited by papers focused on Immune Response and Inflammation (9 papers), NF-κB Signaling Pathways (7 papers) and Immune cells in cancer (2 papers). Pearl Gray collaborates with scholars based in United States, Ireland and United Kingdom. Pearl Gray's co-authors include Luke O'neill, Ashley Mansell, Mary T. Harte, Andrew Bowie, Aisling Dunne, Caroline A. Jefferies, Katherine A. Fitzgerald, Eva M. Pålsson‐McDermott, Timothy A. Bird and Dirk E. Smith and has published in prestigious journals such as Nature, Journal of Biological Chemistry and The Journal of Experimental Medicine.

In The Last Decade

Pearl Gray

14 papers receiving 2.4k citations

Hit Papers

align trajectories

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.

Mal (MyD88-adapter-like) is required for Toll-like receptor-4 signal transduction

2001 1.0k citations Katherine A. Fitzgerald, Eva M. Pålsson‐McDermott et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pearl Gray United States	13	1.9k	552	474	433	356	14	2.4k
Gareth Brady Ireland	17	1.2k 0.7×	474 0.9×	373 0.8×	336 0.8×	359 1.0×	32	1.9k
Elizabeth E. M. Bates France	24	2.1k 1.1×	727 1.3×	262 0.6×	562 1.3×	329 0.9×	28	2.9k
Kenji Funami Japan	27	2.7k 1.4×	891 1.6×	556 1.2×	823 1.9×	272 0.8×	46	3.6k
Jason Goode United States	8	2.3k 1.2×	888 1.6×	490 1.0×	680 1.6×	305 0.9×	10	3.2k
Sean E. Doyle United States	18	2.4k 1.3×	721 1.3×	491 1.0×	760 1.8×	624 1.8×	20	3.5k
Naoya Shimada Japan	5	1.8k 1.0×	462 0.8×	271 0.6×	441 1.0×	356 1.0×	8	2.3k
Şefik Ş. Alkan United States	23	1.7k 0.9×	518 0.9×	129 0.3×	555 1.3×	237 0.7×	44	2.8k
Masanaka Sugiyama Japan	9	2.9k 1.6×	773 1.4×	677 1.4×	577 1.3×	391 1.1×	19	3.6k
V Bažil Czechia	19	1.8k 1.0×	634 1.1×	174 0.4×	380 0.9×	220 0.6×	24	2.6k
Thorsten Klamp Germany	11	1.9k 1.0×	745 1.3×	195 0.4×	498 1.2×	715 2.0×	13	3.0k

Countries citing papers authored by Pearl Gray

Since Specialization

Citations

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

Fields of papers citing papers by Pearl Gray

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pearl Gray

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

All Works

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14 of 14 papers shown

Gray, Pearl, Jargalsaikhan Dagvadorj, Kathrin S. Michelsen, et al.. (2011). Myeloid Differentiation Factor-2 Interacts with Lyn Kinase and Is Tyrosine Phosphorylated Following Lipopolysaccharide-Induced Activation of the TLR4 Signaling Pathway. The Journal of Immunology. 187(8). 4331–4337. 28 indexed citations

Gray, Pearl, Kathrin S. Michelsen, Cherilyn M. Sirois, et al.. (2010). Identification of a Novel Human MD-2 Splice Variant That Negatively Regulates Lipopolysaccharide-Induced TLR4 Signaling. The Journal of Immunology. 184(11). 6359–6366. 33 indexed citations

Dunne, Aisling, Susan Carpenter, Constantinos Brikos, et al.. (2010). IRAK1 and IRAK4 Promote Phosphorylation, Ubiquitination, and Degradation of MyD88 Adaptor-like (Mal). Journal of Biological Chemistry. 285(24). 18276–18282. 60 indexed citations

Gray, Pearl. (2009). Analysis of Ubiquitin Degradation and Phosphorylation of Proteins. Methods in molecular biology. 517. 169–190. 1 indexed citations

Sorrentino, Rosalinda, Pearl Gray, Shuang Chen, et al.. (2009). Plasmacytoid Dendritic Cells Prevent Cigarette Smoke and Chlamydophila pneumoniae– Induced Th2 Inflammatory Responses. American Journal of Respiratory Cell and Molecular Biology. 43(4). 422–431. 15 indexed citations

Bulut, Yonca, Kenichi Shimada, Michelle Wong, et al.. (2009). Chlamydial Heat Shock Protein 60 Induces Acute Pulmonary Inflammation in Mice via the Toll-Like Receptor 4- and MyD88-Dependent Pathway. Infection and Immunity. 77(7). 2683–2690. 24 indexed citations

Mansell, Ashley, Rosealee Smith, Sarah Doyle, et al.. (2006). Suppressor of cytokine signaling 1 negatively regulates Toll-like receptor signaling by mediating Mal degradation. Nature Immunology. 7(2). 148–155. 434 indexed citations

O'neill, Luke, et al.. (2003). Mal and MyD88: adapter proteins involved in signal transduction by Toll-like receptors. Journal of Endotoxin Research. 9(1). 55–59. 23 indexed citations

Harte, Mary T., Ismar R. Haga, Pearl Gray, et al.. (2003). The Poxvirus Protein A52R Targets Toll-like Receptor Signaling Complexes to Suppress Host Defense. The Journal of Experimental Medicine. 197(3). 343–351. 307 indexed citations

10.

O'neill, Luke, et al.. (2003). Mal and MyD88: adapter proteins involved in signal transduction by Toll-like receptors. Journal of Endotoxin Research. 9(1). 55–59. 64 indexed citations

11.

Fitzgerald, Katherine A., Eva M. Pålsson‐McDermott, Andrew Bowie, et al.. (2001). Mal (MyD88-adapter-like) is required for Toll-like receptor-4 signal transduction. Nature. 413(6851). 78–83. 1006 indexed citations breakdown →

12.

Thurman, Gary B., Irwin A. Braude, Pearl Gray, R. K. Oldham, & H C Stevenson. (1985). MIF-like activity of natural and recombinant human interferon-gamma and their neutralization by monoclonal antibody.. The Journal of Immunology. 134(1). 305–309. 43 indexed citations

13.

Hamilton, Thomas A., David L. Becton, Scott D. Somers, Pearl Gray, & Dolph O. Adams. (1985). Interferon-gamma modulates protein kinase C activity in murine peritoneal macrophages.. Journal of Biological Chemistry. 260(3). 1378–1381. 142 indexed citations

14.

Schreiber, Robert D., Leanne Hicks, Antonio Celada, N A Buchmeier, & Pearl Gray. (1985). Monoclonal antibodies to murine gamma-interferon which differentially modulate macrophage activation and antiviral activity.. The Journal of Immunology. 134(3). 1609–1618. 263 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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