Nina M. Pollak

1.9k total citations
25 papers, 878 citations indexed

About

Nina M. Pollak is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Infectious Diseases. According to data from OpenAlex, Nina M. Pollak has authored 25 papers receiving a total of 878 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Public Health, Environmental and Occupational Health and 6 papers in Infectious Diseases. Recurrent topics in Nina M. Pollak's work include Mosquito-borne diseases and control (7 papers), Lipid metabolism and biosynthesis (5 papers) and Biosensors and Analytical Detection (5 papers). Nina M. Pollak is often cited by papers focused on Mosquito-borne diseases and control (7 papers), Lipid metabolism and biosynthesis (5 papers) and Biosensors and Analytical Detection (5 papers). Nina M. Pollak collaborates with scholars based in Australia, United States and Austria. Nina M. Pollak's co-authors include Konstantinos Drosatos, Ira J. Goldberg, Joanne Macdonald, Anastasios Lymperopoulos, Peter J. Kennel, P. Christian Schulze, Guenter Haemmerle, Achim Lass, Rudolf Zechner and Doris Jaeger and has published in prestigious journals such as Journal of Biological Chemistry, Nano Letters and PLoS ONE.

In The Last Decade

Nina M. Pollak

24 papers receiving 872 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nina M. Pollak Australia 14 483 230 223 179 108 25 878
Terence A. Agbor Canada 12 415 0.9× 162 0.7× 136 0.6× 54 0.3× 14 0.1× 19 812
Teayoun Kim United States 19 601 1.2× 40 0.2× 286 1.3× 182 1.0× 160 1.5× 36 1.2k
Ana Acácia S. Pinheiro Brazil 21 333 0.7× 46 0.2× 87 0.4× 156 0.9× 119 1.1× 64 1.1k
Candice Johnson United States 17 492 1.0× 23 0.1× 124 0.6× 311 1.7× 88 0.8× 32 1.2k
Cheng Xia China 17 213 0.4× 48 0.2× 108 0.5× 140 0.8× 99 0.9× 82 961
Jingjing Liu China 20 251 0.5× 26 0.1× 88 0.4× 429 2.4× 155 1.4× 72 905
Anett Unbehaun Germany 17 988 2.0× 56 0.2× 222 1.0× 115 0.6× 332 3.1× 19 1.6k
Praveen Mannam United States 15 491 1.0× 26 0.1× 78 0.3× 273 1.5× 50 0.5× 27 973
L Róka Germany 16 320 0.7× 100 0.4× 158 0.7× 84 0.5× 44 0.4× 56 990
Maria Luisa Rodrı́guez de la Concepción Spain 12 414 0.9× 31 0.1× 193 0.9× 133 0.7× 28 0.3× 23 820

Countries citing papers authored by Nina M. Pollak

Since Specialization
Citations

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

Fields of papers citing papers by Nina M. Pollak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nina M. Pollak. 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 Nina M. Pollak. The network helps show where Nina M. Pollak may publish in the future.

Co-authorship network of co-authors of Nina M. Pollak

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

All Works

20 of 20 papers shown
1.
Sarovich, Derek S., Martina Jelocnik, Nina M. Pollak, et al.. (2025). Dominance of Vaccine‐Specific Chlamydia pecorum ompA Genotypes in Koalas From North‐Eastern Australia. Ecology and Evolution. 15(3). e70973–e70973.
2.
Amarilla, Alberto A., Jody Hobson‐Peters, Joanne Macdonald, et al.. (2025). Development and proof-of-concept evaluation for a low resource compatible Chikungunya virus diagnostic. PLoS neglected tropical diseases. 19(9). e0012352–e0012352. 1 indexed citations
3.
Pollak, Nina M., et al.. (2023). Evaluation of three rapid low-resource molecular tests for Nipah virus. Frontiers in Microbiology. 13. 1101914–1101914. 21 indexed citations
4.
Pollak, Nina M., et al.. (2023). Development and pre-clinical evaluation of a Zika virus diagnostic for low resource settings. Frontiers in Microbiology. 14. 1214148–1214148. 4 indexed citations
5.
Pollak, Nina M., et al.. (2023). Rapid, sensitive, and specific, low-resource molecular detection of Hendra virus. One Health. 16. 100504–100504. 9 indexed citations
6.
Pollak, Nina M., Daniel J. Rawle, Kexin Yan, et al.. (2023). Rapid inactivation and sample preparation for SARS-CoV-2 PCR-based diagnostics using TNA-Cifer Reagent E. Frontiers in Microbiology. 14. 1238542–1238542. 1 indexed citations
8.
Hugo, Leon E., et al.. (2022). Rapid detection of kdr mutation F1534C in Aedes aegypti using recombinase polymerase amplification and lateral flow dipsticks. Pesticide Biochemistry and Physiology. 187. 105209–105209. 3 indexed citations
9.
Pollak, Nina M., et al.. (2021). Complexing deoxyribozymes with RNA aptamers for detection of the small molecule theophylline. Biosensors and Bioelectronics. 198. 113774–113774. 13 indexed citations
11.
Pollak, Nina M., Justin J. Cooper‐White, & Joanne Macdonald. (2021). Translational control of enzyme scavenger expression with toxin-induced micro RNA switches. Scientific Reports. 11(1). 2462–2462. 3 indexed citations
12.
Pol, Christine J., Nina M. Pollak, Michael J. Jurczak, et al.. (2019). Cardiac myocyte KLF5 regulates body weight via alteration of cardiac FGF21. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1865(9). 2125–2137. 13 indexed citations
13.
James, Ameh, Shawn Todd, Nina M. Pollak, Glenn A. Marsh, & Joanne Macdonald. (2018). Ebolavirus diagnosis made simple, comparable and faster than molecular detection methods: preparing for the future. Virology Journal. 15(1). 75–75. 25 indexed citations
14.
Pollak, Nina M., Matthew Hoffman, Ira J. Goldberg, & Konstantinos Drosatos. (2018). Krüppel-Like Factors. JACC Basic to Translational Science. 3(1). 132–156. 91 indexed citations
15.
Jaeger, Doris, Gabriele Schoiswohl, Peter Hofer, et al.. (2015). Fasting-induced G0/G1 switch gene 2 and FGF21 expression in the liver are under regulation of adipose tissue derived fatty acids. Journal of Hepatology. 63(2). 437–445. 40 indexed citations
16.
Brahma, Manoja K., Rene C. Adam, Nina M. Pollak, et al.. (2014). Fibroblast growth factor 21 is induced upon cardiac stress and alters cardiac lipid homeostasis. Journal of Lipid Research. 55(11). 2229–2241. 60 indexed citations
17.
Pollak, Nina M., Doris Jaeger, Stephanie Kolleritsch, et al.. (2014). The Interplay of Protein Kinase A and Perilipin 5 Regulates Cardiac Lipolysis*. Journal of Biological Chemistry. 290(3). 1295–1306. 73 indexed citations
18.
Drosatos, Konstantinos, Anastasios Lymperopoulos, Peter J. Kennel, et al.. (2014). Pathophysiology of Sepsis-Related Cardiac Dysfunction: Driven by Inflammation, Energy Mismanagement, or Both?. Current Heart Failure Reports. 12(2). 130–140. 160 indexed citations
19.
Pollak, Nina M., Martina Schweiger, Doris Jaeger, et al.. (2013). Cardiac-specific overexpression of perilipin 5 provokes severe cardiac steatosis via the formation of a lipolytic barrier. Journal of Lipid Research. 54(4). 1092–1102. 101 indexed citations
20.
Zierler, Kathrin A., Doris Jaeger, Nina M. Pollak, et al.. (2013). Functional Cardiac Lipolysis in Mice Critically Depends on Comparative Gene Identification-58. Journal of Biological Chemistry. 288(14). 9892–9904. 57 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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