Rowena S. Lewis

2.6k total citations
18 papers, 1.1k citations indexed

About

Rowena S. Lewis is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Rowena S. Lewis has authored 18 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Immunology, 10 papers in Oncology and 8 papers in Molecular Biology. Recurrent topics in Rowena S. Lewis's work include Cytokine Signaling Pathways and Interactions (9 papers), interferon and immune responses (5 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers). Rowena S. Lewis is often cited by papers focused on Cytokine Signaling Pathways and Interactions (9 papers), interferon and immune responses (5 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers). Rowena S. Lewis collaborates with scholars based in Australia, Malaysia and United States. Rowena S. Lewis's co-authors include Alister C. Ward, Sarah Stephenson, Clifford Liongue, Lynda A. O’Sullivan, Seth L. Masters, James E. Vince, Sandra E. Nicholson, Thomas Naderer, Andrew Low and Zhihe Kuang and has published in prestigious journals such as The Journal of Experimental Medicine, The Journal of Cell Biology and The Journal of Immunology.

In The Last Decade

Rowena S. Lewis

18 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rowena S. Lewis Australia 14 565 395 268 172 137 18 1.1k
Nora Bijl Netherlands 15 925 1.6× 606 1.5× 233 0.9× 241 1.4× 123 0.9× 17 1.8k
Akira Moh United States 13 502 0.9× 311 0.8× 248 0.9× 204 1.2× 62 0.5× 16 1.2k
Matthew Stuible Canada 19 805 1.4× 377 1.0× 144 0.5× 179 1.0× 154 1.1× 43 1.3k
Jeffrey J. Bednarski United States 21 906 1.6× 440 1.1× 264 1.0× 183 1.1× 56 0.4× 53 1.6k
Elena Tritarelli Italy 19 370 0.7× 327 0.8× 93 0.3× 165 1.0× 92 0.7× 42 1.0k
Christelle Lenoir France 17 263 0.5× 536 1.4× 234 0.9× 176 1.0× 135 1.0× 30 908
Masumi Shimizu Japan 19 368 0.7× 785 2.0× 368 1.4× 229 1.3× 73 0.5× 71 1.5k
Gudrun Totzke Germany 19 565 1.0× 232 0.6× 236 0.9× 132 0.8× 118 0.9× 29 1.2k
Samuel McGee United States 14 795 1.4× 524 1.3× 302 1.1× 86 0.5× 57 0.4× 19 1.5k

Countries citing papers authored by Rowena S. Lewis

Since Specialization
Citations

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

Fields of papers citing papers by Rowena S. Lewis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rowena S. Lewis. 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 Rowena S. Lewis. The network helps show where Rowena S. Lewis may publish in the future.

Co-authorship network of co-authors of Rowena S. Lewis

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

All Works

18 of 18 papers shown
1.
Page, Nicole, et al.. (2023). A zebrafish model of growth hormone insensitivity syndrome with immune dysregulation 1 (GHISID1). Cellular and Molecular Life Sciences. 80(4). 109–109. 4 indexed citations
2.
Uwamahoro, Nathalie, Jiyoti Verma‐Gaur, Hsin‐Hui Shen, et al.. (2014). The Pathogen Candida albicans Hijacks Pyroptosis for Escape from Macrophages. mBio. 5(2). e00003–14. 206 indexed citations
3.
Allam, Ramanjaneyulu, Kate E. Lawlor, Eric Yu, et al.. (2014). Mitochondrial apoptosis is dispensable for NLRP 3 inflammasome activation but non‐apoptotic caspase‐8 is required for inflammasome priming. EMBO Reports. 15(9). 982–990. 184 indexed citations
4.
Lewis, Rowena S., et al.. (2014). Regulation of Embryonic Hematopoiesis by a Cytokine-Inducible SH2 Domain Homolog in Zebrafish. The Journal of Immunology. 192(12). 5739–5748. 13 indexed citations
5.
O’Sullivan, Lynda A., Suzita Mohd Noor, Monique C. Trengove, et al.. (2011). Suppressor of Cytokine Signaling 1 Regulates Embryonic Myelopoiesis Independently of Its Effects on T Cell Development. The Journal of Immunology. 186(8). 4751–4761. 14 indexed citations
6.
Lewis, Rowena S., Tatiana B. Kolesnik, Zhihe Kuang, et al.. (2011). TLR Regulation of SPSB1 Controls Inducible Nitric Oxide Synthase Induction. The Journal of Immunology. 187(7). 3798–3805. 51 indexed citations
7.
Kuang, Zhihe, Rowena S. Lewis, Joan Curtis, et al.. (2010). The SPRY domain–containing SOCS box protein SPSB2 targets iNOS for proteasomal degradation. The Journal of Cell Biology. 190(1). 129–141. 77 indexed citations
8.
Filippakopoulos, P., Andrew Low, Timothy Sharpe, et al.. (2010). Structural Basis for Par-4 Recognition by the SPRY Domain- and SOCS Box-Containing Proteins SPSB1, SPSB2, and SPSB4. Journal of Molecular Biology. 401(3). 389–402. 56 indexed citations
9.
Croker, Ben A., Rowena S. Lewis, Jeffrey J. Babon, et al.. (2010). Neutrophils Require SHP1 To Regulate IL-1β Production and Prevent Inflammatory Skin Disease. The Journal of Immunology. 186(2). 1131–1139. 36 indexed citations
10.
Kuang, Zhihe, Rowena S. Lewis, Joan Curtis, et al.. (2010). The SPRY domain–containing SOCS box protein SPSB2 targets iNOS for proteasomal degradation. The Journal of Experimental Medicine. 207(8). i22–i22. 2 indexed citations
11.
Kuang, Zhihe, Shenggen Yao, Yibin Xu, et al.. (2009). SPRY Domain-Containing SOCS Box Protein 2: Crystal Structure and Residues Critical for Protein Binding. Journal of Molecular Biology. 386(3). 662–674. 40 indexed citations
12.
Ward, Alister C., Clifford Liongue, Rowena S. Lewis, et al.. (2009). A novel zebrafish jak2aV581F model shared features of human JAK2V617F polycythemia vera. Experimental Hematology. 37(12). 1379–1386.e4. 32 indexed citations
13.
Ward, Alister C., Judith Gits, Andrew A.G. Aprikyan, et al.. (2008). Functional interaction between mutations in the granulocyte colony‐stimulating factor receptor in severe congenital neutropenia. British Journal of Haematology. 142(4). 653–656. 10 indexed citations
14.
O’Sullivan, Lynda A., Clifford Liongue, Rowena S. Lewis, Sarah Stephenson, & Alister C. Ward. (2007). Cytokine receptor signaling through the Jak–Stat–Socs pathway in disease. Molecular Immunology. 44(10). 2497–2506. 253 indexed citations
15.
Lewis, Rowena S. & Alister C. Ward. (2007). Stat5 as a diagnostic marker for leukemia. Expert Review of Molecular Diagnostics. 8(1). 73–82. 22 indexed citations
16.
Lewis, Rowena S., Sarah Stephenson, & Alister C. Ward. (2006). Constitutive activation of zebrafish Stat5 expands hematopoietic cell populations in vivo. Experimental Hematology. 34(2). 179–187. 39 indexed citations
17.
Tsend‐Ayush, Enkhjargal, Lynda A. O’Sullivan, Frank Grützner, et al.. (2005). RBMX gene is essential for brain development in zebrafish. Developmental Dynamics. 234(3). 682–688. 37 indexed citations
18.
Lewis, Rowena S. & Alister C. Ward. (2004). Conservation, duplication and divergence of the zebrafish stat5 genes. Gene. 338(1). 65–74. 34 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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