Irina A. Leaf

3.6k total citations · 3 hit papers
13 papers, 2.9k citations indexed

About

Irina A. Leaf is a scholar working on Molecular Biology, Immunology and Nephrology. According to data from OpenAlex, Irina A. Leaf has authored 13 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Immunology and 2 papers in Nephrology. Recurrent topics in Irina A. Leaf's work include Inflammasome and immune disorders (7 papers), interferon and immune responses (4 papers) and Immune Response and Inflammation (3 papers). Irina A. Leaf is often cited by papers focused on Inflammasome and immune disorders (7 papers), interferon and immune responses (4 papers) and Immune Response and Inflammation (3 papers). Irina A. Leaf collaborates with scholars based in United States, Austria and Ireland. Irina A. Leaf's co-authors include Alan Aderem, Edward A. Miao, Dat P. Mao, Sarah Warren, Mark D. Wewers, Anasuya Sarkar, Piper M. Treuting, Monica Dors, Cynthia G. Lorang and Richard Bonneau and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Irina A. Leaf

13 papers receiving 2.9k 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.

Caspase-1-induced pyroptosis is an innate immune effector mechanism against intracellular bacteria

2010 1.1k citations Edward A. Miao, Irina A. Leaf et al. Nature Immunology profile →
Innate immune detection of the type III secretion apparatus through the NLRC4 inflammasome

2010 629 citations Edward A. Miao, Dat P. Mao et al. Proceedings of the National Academy of Sciences profile →
Caspase-11 Protects Against Bacteria That Escape the Vacuole

2013 435 citations Youssef Aachoui, Irina A. Leaf et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Irina A. Leaf United States	12	2.2k	1.3k	335	282	275	13	2.9k
Dat P. Mao United States	8	1.9k 0.8×	1.2k 0.9×	180 0.5×	241 0.9×	264 1.0×	8	2.4k
Monica Dors United States	3	1.7k 0.8×	1.2k 0.9×	150 0.4×	208 0.7×	212 0.8×	3	2.2k
Jennifer J. Dong United States	9	2.2k 1.0×	1.2k 1.0×	272 0.8×	278 1.0×	194 0.7×	10	2.6k
Ine Jørgensen United States	9	1.7k 0.8×	901 0.7×	275 0.8×	371 1.3×	218 0.8×	11	2.3k
Salina Louie United States	9	2.3k 1.1×	1.2k 0.9×	281 0.8×	247 0.9×	187 0.7×	14	2.7k
Meron Roose-Girma United States	7	3.6k 1.6×	2.7k 2.1×	296 0.9×	465 1.6×	330 1.2×	8	4.8k
Youssef Aachoui United States	13	1.7k 0.8×	1.0k 0.8×	211 0.6×	240 0.9×	232 0.8×	17	2.1k
Jon A. Hagar United States	8	1.4k 0.7×	914 0.7×	150 0.4×	233 0.8×	199 0.7×	8	1.9k
Megan K. Proulx United States	13	1.4k 0.6×	791 0.6×	192 0.6×	300 1.1×	159 0.6×	19	1.9k
David E. Place United States	20	2.4k 1.1×	1.4k 1.1×	219 0.7×	481 1.7×	203 0.7×	35	3.2k

Countries citing papers authored by Irina A. Leaf

Since Specialization

Citations

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

Fields of papers citing papers by Irina A. Leaf

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Irina A. Leaf. 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 Irina A. Leaf. The network helps show where Irina A. Leaf may publish in the future.

Co-authorship network of co-authors of Irina A. Leaf

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

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

Azer, Karim & Irina A. Leaf. (2023). Systems biology platform for efficient development and translation of multitargeted therapeutics. SHILAP Revista de lepidopterología. 3. 1229532–1229532. 1 indexed citations

Puranik, Amrutesh S., Irina A. Leaf, Mark A. Jensen, et al.. (2018). Kidney-resident macrophages promote a proangiogenic environment in the normal and chronically ischemic mouse kidney. Scientific Reports. 8(1). 13948–13948. 78 indexed citations

Lemos, Darío R., Gamze Karaca, Julia Wilflingseder, et al.. (2018). Interleukin-1β Activates a MYC-Dependent Metabolic Switch in Kidney Stromal Cells Necessary for Progressive Tubulointerstitial Fibrosis. Journal of the American Society of Nephrology. 29(6). 1690–1705. 166 indexed citations

Leaf, Irina A. & Jeremy S. Duffield. (2016). What can target kidney fibrosis?. Nephrology Dialysis Transplantation. 32(suppl_1). i89–i97. 66 indexed citations

Leaf, Irina A., Shunsaku Nakagawa, Bryce G. Johnson, et al.. (2016). Pericyte MyD88 and IRAK4 control inflammatory and fibrotic responses to tissue injury. Journal of Clinical Investigation. 127(1). 321–334. 119 indexed citations

Aachoui, Youssef, Yuji Kajiwara, Irina A. Leaf, et al.. (2015). Canonical Inflammasomes Drive IFN-γ to Prime Caspase-11 in Defense against a Cytosol-Invasive Bacterium. Cell Host & Microbe. 18(3). 320–332. 101 indexed citations

Aachoui, Youssef, Irina A. Leaf, Jon A. Hagar, et al.. (2013). Caspase-11 Protects Against Bacteria That Escape the Vacuole. Science. 339(6122). 975–978. 435 indexed citations breakdown →

Miao, Edward A., Irina A. Leaf, Piper Treuting, et al.. (2011). Caspase-1-induced pyroptosis is an innate immune effector mechanism against intracellular bacteria (111.33). The Journal of Immunology. 186(1_Supplement). 111.33–111.33. 21 indexed citations

Miao, Edward A., Dat P. Mao, Natalya Yudkovsky, et al.. (2010). Innate immune detection of the type III secretion apparatus through the NLRC4 inflammasome. Proceedings of the National Academy of Sciences. 107(7). 3076–3080. 629 indexed citations breakdown →

10.

Miao, Edward A., Irina A. Leaf, Piper M. Treuting, et al.. (2010). Caspase-1-induced pyroptosis is an innate immune effector mechanism against intracellular bacteria. Nature Immunology. 11(12). 1136–1142. 1064 indexed citations breakdown →

11.

Warren, Sarah, M. Kristina Hamilton, Dat P. Mao, et al.. (2010). Cutting Edge: Cytosolic Bacterial DNA Activates the Inflammasome via Aim2. The Journal of Immunology. 185(2). 818–821. 117 indexed citations

12.

Leaf, Irina A., Jason M. Tennessen, Mahua Mukhopadhyay, Heiner Westphal, & William Shawlot. (2006). Sfrp5 is not essential for axis formation in the mouse. genesis. 44(12). 573–578. 20 indexed citations

13.

Petryk, Anna, Ryan M. Anderson, Michael Jarcho, et al.. (2004). The mammalian twisted gastrulation gene functions in foregut and craniofacial development. Developmental Biology. 267(2). 374–386. 91 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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