Liana Mackiewicz

487 total citations
9 papers, 78 citations indexed

About

Liana Mackiewicz is a scholar working on Epidemiology, Molecular Biology and Immunology. According to data from OpenAlex, Liana Mackiewicz has authored 9 papers receiving a total of 78 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 4 papers in Molecular Biology and 3 papers in Immunology. Recurrent topics in Liana Mackiewicz's work include Hepatitis B Virus Studies (5 papers), Cell death mechanisms and regulation (2 papers) and Immunotherapy and Immune Responses (2 papers). Liana Mackiewicz is often cited by papers focused on Hepatitis B Virus Studies (5 papers), Cell death mechanisms and regulation (2 papers) and Immunotherapy and Immune Responses (2 papers). Liana Mackiewicz collaborates with scholars based in Australia, United States and Netherlands. Liana Mackiewicz's co-authors include Marc Pellegrini, Marcel Doerflinger, Gregor Ebert, Cody C. Allison, Philip Arandjelovic, John Silke, Michelle P. Clark, James P. Cooney, Alissa K. Robbins and Sara M. Erickson and has published in prestigious journals such as Hepatology, Cell Death and Differentiation and Cell Reports.

In The Last Decade

Liana Mackiewicz

9 papers receiving 78 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liana Mackiewicz Australia 7 41 19 19 16 10 9 78
Hafiz Ullah China 4 43 1.0× 33 1.7× 26 1.4× 26 1.6× 12 1.2× 10 107
Phuong Nguyen United States 3 33 0.8× 25 1.3× 27 1.4× 21 1.3× 6 0.6× 3 82
Nilanjan Mukherjee United States 5 60 1.5× 37 1.9× 29 1.5× 37 2.3× 7 0.7× 11 124
Lance Presser United States 4 25 0.6× 32 1.7× 8 0.4× 16 1.0× 5 0.5× 8 88
Elaine Cheung United States 5 30 0.7× 35 1.8× 31 1.6× 15 0.9× 11 1.1× 11 100
George Ssebyatika Germany 6 30 0.7× 20 1.1× 35 1.8× 26 1.6× 15 1.5× 8 87
Andra Banete Canada 6 39 1.0× 17 0.9× 92 4.8× 19 1.2× 18 1.8× 9 149
Petra Muckova Germany 4 33 0.8× 9 0.5× 33 1.7× 10 0.6× 12 1.2× 5 122
Sarah K. Wideman United Kingdom 4 23 0.6× 14 0.7× 46 2.4× 12 0.8× 20 2.0× 6 119
Hirotoshi Sugino Japan 6 30 0.7× 36 1.9× 29 1.5× 11 0.7× 9 0.9× 9 82

Countries citing papers authored by Liana Mackiewicz

Since Specialization
Citations

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

Fields of papers citing papers by Liana Mackiewicz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liana Mackiewicz

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

All Works

9 of 9 papers shown
1.
Bader, Stefanie M., L.R. Scherer, James P. Cooney, et al.. (2025). IL-1β drives SARS-CoV-2-induced disease independently of the inflammasome and pyroptosis signalling. Cell Death and Differentiation. 32(7). 1353–1366. 3 indexed citations
2.
Bader, Stefanie M., James P. Cooney, Liana Mackiewicz, et al.. (2024). Necroptosis does not drive disease pathogenesis in a mouse infective model of SARS-CoV-2 in vivo. Cell Death and Disease. 15(1). 100–100. 8 indexed citations
3.
Preston, Simon, Cody C. Allison, Stefanie M. Bader, et al.. (2023). A necroptosis-independent function of RIPK3 promotes immune dysfunction and prevents control of chronic LCMV infection. Cell Death and Disease. 14(2). 123–123. 6 indexed citations
4.
Teh, Charis E., Simon Preston, Alissa K. Robbins, et al.. (2022). Caspase-8 has dual roles in regulatory T cell homeostasis balancing immunity to infection and collateral inflammatory damage. Science Immunology. 7(69). eabn8041–eabn8041. 15 indexed citations
5.
Clark, Michelle P., Shringar Rao, Liana Mackiewicz, et al.. (2021). Clinical stage drugs targeting inhibitor of apoptosis proteins purge episomal Hepatitis B viral genome in preclinical models. Cell Death and Disease. 12(7). 641–641. 8 indexed citations
6.
Ebert, Gregor, Sash Lopaticki, Matthew T. O’Neill, et al.. (2020). Targeting the Extrinsic Pathway of Hepatocyte Apoptosis Promotes Clearance of Plasmodium Liver Infection. Cell Reports. 30(13). 4343–4354.e4. 19 indexed citations
7.
Doerflinger, Marcel, Boris Reljić, Christina Nedeva, et al.. (2020). Circulating BiP/Grp78 is a novel prognostic marker for sepsis‐mediated immune cell death. FEBS Journal. 288(6). 1809–1821. 11 indexed citations
8.
Mackiewicz, Liana, Natasha Silke, Marc Pellegrini, et al.. (2020). Combinatorial Treatment of Birinapant and Zosuquidar Enhances Effective Control of HBV Replication In Vivo. Viruses. 12(8). 901–901. 7 indexed citations
9.
Ebert, Gregor, Liana Mackiewicz, Simon Preston, et al.. (2018). The e Antigen Is an Interferon Resistance Protein That Allows the Hepatitis B Virus to Evade the Early Immune Response.. Hepatology. 68. 1 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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