Natalia Liem

1.3k total citations
18 papers, 944 citations indexed

About

Natalia Liem is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Hematology. According to data from OpenAlex, Natalia Liem has authored 18 papers receiving a total of 944 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Public Health, Environmental and Occupational Health and 6 papers in Hematology. Recurrent topics in Natalia Liem's work include Acute Lymphoblastic Leukemia research (7 papers), Epigenetics and DNA Methylation (7 papers) and Cancer-related gene regulation (4 papers). Natalia Liem is often cited by papers focused on Acute Lymphoblastic Leukemia research (7 papers), Epigenetics and DNA Methylation (7 papers) and Cancer-related gene regulation (4 papers). Natalia Liem collaborates with scholars based in Singapore, Australia and United States. Natalia Liem's co-authors include Richard B. Lock, Wei Peng Yong, Michelle Haber, Alison Rice, Murray D. Norris, Christopher Milross, Rachael A. Papa, Karen L. MacKenzie, Glenn M. Marshall and Michael Schmid and has published in prestigious journals such as Blood, PLoS ONE and Gut.

In The Last Decade

Natalia Liem

18 papers receiving 936 citations

Peers

Natalia Liem

ONCOL

PHEOH

HEMAT

Simon Bomken United Kingdom

Bertil Uggla Sweden

Elizabeth Matheson United Kingdom

Justine E. Roderick United States

Bruno A. Cardoso Portugal

Monica Pallis United Kingdom

Maria Kleppe United States

Masato Shikami Japan

Francesca Arruga Italy

Koshi Akahane Japan

Simon Bomken United Kingdom

Natalia Liem

376 ×0.7

366 ×1.2

ONCOL

202 ×0.9

PHEOH

234 ×1.4

HEMAT

223 ×1.6

Citations per year, relative to Natalia Liem Natalia Liem (= 1×) peers Simon Bomken

Countries citing papers authored by Natalia Liem

Since Specialization

Citations

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

Fields of papers citing papers by Natalia Liem

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natalia Liem

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

All Works

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18 of 18 papers shown

Subhash, Vinod Vijay, et al.. (2016). ATM Expression Predicts Veliparib and Irinotecan Sensitivity in Gastric Cancer by Mediating P53-Independent Regulation of Cell Cycle and Apoptosis. Molecular Cancer Therapeutics. 15(12). 3087–3096. 29 indexed citations

Xie, Chen, Vinod Vijay Subhash, Arpita Datta, et al.. (2016). Melanoma associated antigen (MAGE)-A3 promotes cell proliferation and chemotherapeutic drug resistance in gastric cancer. Cellular Oncology. 39(2). 175–186. 28 indexed citations

Goh, Liang Kee, Natalia Liem, Kae Jack Tay, et al.. (2014). Diagnostic and Prognostic Utility of a DNA Hypermethylated Gene Signature in Prostate Cancer. PLoS ONE. 9(3). e91666–e91666. 9 indexed citations

Limviphuvadh, Vachiranee, Mengling Feng, Natalia Liem, et al.. (2014). Novel SNP improves differential survivability and mortality in non-small cell lung cancer patients. BMC Genomics. 15(S9). S20–S20. 14 indexed citations

Loh, Marie, Natalia Liem, Nur Sabrina Sapari, et al.. (2014). DNA methylation subgroups and the CpG island methylator phenotype in gastric cancer: a comprehensive profiling approach. BMC Gastroenterology. 14(1). 55–55. 34 indexed citations

Nowak, Daniel, Natalia Liem, Maximilian Mossner, et al.. (2014). Variegated clonality and rapid emergence of new molecular lesions in xenografts of acute lymphoblastic leukemia are associated with drug resistance. Experimental Hematology. 43(1). 32–43.e35. 17 indexed citations

Szymanska, Barbara, Min H. Kang, Natalia Liem, et al.. (2012). Pharmacokinetic Modeling of an Induction Regimen for In Vivo Combined Testing of Novel Drugs against Pediatric Acute Lymphoblastic Leukemia Xenografts. PLoS ONE. 7(3). e33894–e33894. 43 indexed citations

Ivanova, Tatiana, Hermioni Zouridis, Yonghui Wu, et al.. (2012). Integrated epigenomics identifies BMP4 as a modulator of cisplatin sensitivity in gastric cancer. Gut. 62(1). 22–33. 80 indexed citations

Liem, Natalia, et al.. (2012). Combination Therapy with Gossypol Reveals Synergism against Gemcitabine Resistance in Cancer Cells with High BCL-2 Expression. PLoS ONE. 7(12). e50786–e50786. 33 indexed citations

10.

Subramaniam, Manish Mani, Marie Loh, Jason Yongsheng Chan, et al.. (2012). The topography of DNA methylation in the non‐neoplastic colonic mucosa surrounding colorectal cancers. Molecular Carcinogenesis. 53(2). 98–108. 4 indexed citations

11.

Zouridis, Hermioni, Niantao Deng, Tatiana Ivanova, et al.. (2012). Methylation Subtypes and Large-Scale Epigenetic Alterations in Gastric Cancer. Science Translational Medicine. 4(156). 156ra140–156ra140. 142 indexed citations

12.

Loh, Marie, Natalia Liem, Fabienne Grieu, et al.. (2010). Comprehensive profiling of DNA methylation in colorectal cancer reveals subgroups with distinct clinicopathological and molecular features. BMC Cancer. 10(1). 227–227. 84 indexed citations

13.

Loh, Marie, Natalia Liem, Chee Leong Cheng, et al.. (2010). Impact of Sample Heterogeneity on Methylation Analysis. Diagnostic Molecular Pathology. 19(4). 243–247. 7 indexed citations

14.

Liem, Natalia, Michael Schmid, Nicole M. Verrills, et al.. (2007). A Role for Altered Microtubule Polymer Levels in Vincristine Resistance of Childhood Acute Lymphoblastic Leukemia Xenografts. Journal of Pharmacology and Experimental Therapeutics. 324(2). 434–442. 17 indexed citations

15.

Verrills, Nicole M., et al.. (2006). Proteomic analysis reveals a novel role for the actin cytoskeleton in vincristine resistant childhood leukemia – An in vivo study. PROTEOMICS. 6(5). 1681–1694. 67 indexed citations

16.

Lock, Richard B., Natalia Liem, & Rachael A. Papa. (2005). Preclinical Testing of Antileukemic Drugs Using an In Vivo Model of Systemic Disease. Humana Press eBooks. 111. 323–334. 11 indexed citations

17.

Liem, Natalia, Rachael A. Papa, Christopher Milross, et al.. (2004). Characterization of childhood acute lymphoblastic leukemia xenograft models for the preclinical evaluation of new therapies. Blood. 103(10). 3905–3914. 183 indexed citations

18.

Lock, Richard B., Natalia Liem, Christopher Milross, et al.. (2002). The nonobese diabetic/severe combined immunodeficient (NOD/SCID) mouse model of childhood acute lymphoblastic leukemia reveals intrinsic differences in biologic characteristics at diagnosis and relapse. Blood. 99(11). 4100–4108. 142 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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