Allie Maltzman

2.3k total citations · 1 hit paper
9 papers, 1.2k citations indexed

About

Allie Maltzman is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Allie Maltzman has authored 9 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Immunology and 2 papers in Oncology. Recurrent topics in Allie Maltzman's work include Cell death mechanisms and regulation (6 papers), interferon and immune responses (4 papers) and Immune Response and Inflammation (2 papers). Allie Maltzman is often cited by papers focused on Cell death mechanisms and regulation (6 papers), interferon and immune responses (4 papers) and Immune Response and Inflammation (2 papers). Allie Maltzman collaborates with scholars based in France, United States and Australia. Allie Maltzman's co-authors include Kim Newton, Vishva M. Dixit, Joshua D. Webster, Debra L. Dugger, Merone Roose‐Girma, Katherine E. Wickliffe, László G. Kömüves, Monika Dohse, Rohit Reja and Søren Warming and has published in prestigious journals such as Nature, The Journal of Experimental Medicine and Immunity.

In The Last Decade

Allie Maltzman

8 papers receiving 1.2k 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.

Cleavage of RIPK1 by caspase-8 is crucial for limiting apoptosis and necroptosis

2019 407 citations Kim Newton, Katherine E. Wickliffe et al. Nature profile →

Peers

Allie Maltzman

MB

IMMUN

EPIDE

ONCOL

CR

Melanie Fritsch Germany

Suqin Wu China

Matija Zelic United States

Rohit Reja United States

Rita-Marie T. Woodford United States

Wenwen Wang China

Konstantin Bogdanov Russia

Ravichandran Panchanathan United States

Samuel McGee United States

Yaoji Liang China

Melanie Fritsch Germany

Allie Maltzman

821 ×0.8

MB

456 ×0.8

IMMUN

167 ×1.0

EPIDE

152 ×1.1

ONCOL

182 ×1.6

CR

Citations per year, relative to Allie Maltzman Allie Maltzman (= 1×) peers Melanie Fritsch

Countries citing papers authored by Allie Maltzman

Since Specialization

Citations

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

Fields of papers citing papers by Allie Maltzman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Allie Maltzman

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

All Works

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9 of 9 papers shown

1.

Newton, Kim, Katherine E. Wickliffe, Allie Maltzman, et al.. (2025). cFLIP suppresses caspase-1- and MLKL-independent perinatal lethality driven by auto-processing impaired caspase-8 D387A. Cell Death and Differentiation.

2.

Gitlin, Alexander D., Allie Maltzman, Klaus Heger, et al.. (2024). N4BP1 coordinates ubiquitin-dependent crosstalk within the IκB kinase family to limit Toll-like receptor signaling and inflammation. Immunity. 57(5). 973–986.e7. 13 indexed citations

3.

Newton, Kim, Katherine E. Wickliffe, Allie Maltzman, et al.. (2024). Caspase cleavage of RIPK3 after Asp333 is dispensable for mouse embryogenesis. Cell Death and Differentiation. 31(2). 254–262. 8 indexed citations

4.

Solon, Margaret, Nianfeng Ge, Susan Haller, et al.. (2024). ZBP1 and TRIF trigger lethal necroptosis in mice lacking caspase-8 and TNFR1. Cell Death and Differentiation. 31(5). 672–682. 21 indexed citations

5.

Newton, Kim, Katherine E. Wickliffe, Debra L. Dugger, et al.. (2019). Cleavage of RIPK1 by caspase-8 is crucial for limiting apoptosis and necroptosis. Nature. 574(7778). 428–431. 407 indexed citations breakdown →

6.

Newton, Kim, Katherine E. Wickliffe, Allie Maltzman, et al.. (2019). Activity of caspase-8 determines plasticity between cell death pathways. Nature. 575(7784). 679–682. 289 indexed citations

7.

Pham, Victoria C., Joshua D. Webster, Rohit Reja, et al.. (2019). The RIPK4–IRF6 signalling axis safeguards epidermal differentiation and barrier function. Nature. 574(7777). 249–253. 54 indexed citations

8.

Newton, Kim, Katherine E. Wickliffe, Allie Maltzman, et al.. (2016). RIPK1 inhibits ZBP1-driven necroptosis during development. Nature. 540(7631). 129–133. 307 indexed citations

9.

Qu, Yan, Shahram Misaghi, Kim Newton, et al.. (2016). NLRP3 recruitment by NLRC4 during Salmonella infection. The Journal of Experimental Medicine. 213(6). 877–885. 118 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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