Marina Ali

721 total citations
44 papers, 571 citations indexed

About

Marina Ali is a scholar working on Molecular Biology, Microbiology and Immunology. According to data from OpenAlex, Marina Ali has authored 44 papers receiving a total of 571 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 12 papers in Microbiology and 10 papers in Immunology. Recurrent topics in Marina Ali's work include Antimicrobial Peptides and Activities (11 papers), RNA Interference and Gene Delivery (7 papers) and Immune Cell Function and Interaction (6 papers). Marina Ali is often cited by papers focused on Antimicrobial Peptides and Activities (11 papers), RNA Interference and Gene Delivery (7 papers) and Immune Cell Function and Interaction (6 papers). Marina Ali collaborates with scholars based in Australia, India and South Korea. Marina Ali's co-authors include Nicholas Manolios, Michael Amon, Kamlesh K. Bhutani, Pablo Fernández‐Peñas, Kimberley L. Kaufman, Hayat M. Mukhtar, S. H. Ansari, Tanveer Naved, Graham J. Mann and Minoo J. Moghaddam and has published in prestigious journals such as Journal of Biological Chemistry, Scientific Reports and Journal of Investigative Dermatology.

In The Last Decade

Marina Ali

41 papers receiving 514 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marina Ali Australia 16 233 165 78 65 53 44 571
Rupert L. Mayer Austria 17 393 1.7× 72 0.4× 52 0.7× 61 0.9× 32 0.6× 29 684
C. Evalena Andersson Sweden 9 317 1.4× 290 1.8× 96 1.2× 33 0.5× 81 1.5× 11 832
Egle Passante Ireland 13 293 1.3× 276 1.7× 36 0.5× 29 0.4× 99 1.9× 18 692
Toshihiro Nakanishi Japan 14 273 1.2× 111 0.7× 64 0.8× 37 0.6× 11 0.2× 28 461
Ronald E. Esser United States 13 221 0.9× 125 0.8× 105 1.3× 12 0.2× 32 0.6× 14 634
Denis Loyaux France 15 369 1.6× 178 1.1× 55 0.7× 29 0.4× 49 0.9× 19 699
Huifang Dong United States 7 422 1.8× 186 1.1× 101 1.3× 10 0.2× 28 0.5× 10 687
Eman Kandil Egypt 16 224 1.0× 194 1.2× 52 0.7× 33 0.5× 30 0.6× 37 637
Margalit Krup Israel 8 177 0.8× 117 0.7× 56 0.7× 68 1.0× 23 0.4× 11 483
Yin Wu China 12 311 1.3× 190 1.2× 86 1.1× 53 0.8× 27 0.5× 24 712

Countries citing papers authored by Marina Ali

Since Specialization
Citations

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

Fields of papers citing papers by Marina Ali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marina Ali

This figure shows the co-authorship network connecting the top 25 collaborators of Marina Ali. A scholar is included among the top collaborators of Marina Ali 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 Marina Ali. Marina Ali 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.
2.
Pupo, Gulietta M., et al.. (2022). Genomic and proteomic findings in early melanoma and opportunities for early diagnosis. Experimental Dermatology. 32(2). 104–116. 2 indexed citations
3.
Manolios, Nicholas, Jordyn Stuart, Tracy Chew, et al.. (2022). Design and function of targeted endocannabinoid nanoparticles. Scientific Reports. 12(1). 17260–17260. 4 indexed citations
4.
Ali, Marina, et al.. (2021). Specialised skin cancer spectral library for use in data‐independent mass spectrometry. PROTEOMICS. 21(19). e2100128–e2100128. 4 indexed citations
5.
Kaufman, Kimberley L., et al.. (2020). Proteomics: An emerging approach for the diagnosis and classification of cutaneous squamous cell carcinoma and its precursors. Journal of Dermatological Science. 99(1). 9–16. 9 indexed citations
6.
Yang, Pengyi, et al.. (2019). Data Independent Acquisition Proteomic Analysis Can Discriminate between Actinic Keratosis, Bowen’s Disease, and Cutaneous Squamous Cell Carcinoma. Journal of Investigative Dermatology. 140(1). 212–222.e11. 21 indexed citations
7.
Kaufman, Kimberley L., et al.. (2018). Differential proteomic analysis of actinic keratosis, Bowen’s disease and cutaneous squamous cell carcinoma by label-free LC–MS/MS. Journal of Dermatological Science. 91(1). 69–78. 25 indexed citations
8.
Kaufman, Kimberley L., et al.. (2016). In Silico Analysis Validates Proteomic Findings of Formalin-fixed Paraffin Embedded Cutaneous Squamous Cell Carcinoma Tissue. Cancer Genomics & Proteomics. 13(6). 453–466. 16 indexed citations
9.
Manolios, Nicholas, Stephen D. Schibeci, Eskandar Kamali‐Sarvestani, et al.. (2014). Targeting fibroblast-like synovial cells at sites of inflammation with peptide targeted liposomes results in inhibition of experimental arthritis. Clinical Immunology. 151(1). 43–54. 58 indexed citations
10.
Tso, Annette W.K., et al.. (2014). Novel T-cell inhibiting peptides delay the onset of Type 1 diabetes in non-obese diabetic mice. Diabetes & Metabolism. 40(3). 229–234. 3 indexed citations
11.
Ali, Marina, et al.. (2013). Cyclization enhances function of linear anti-arthritic peptides. Clinical Immunology. 150(1). 121–133. 9 indexed citations
12.
Ali, Marina, et al.. (2012). Alanine Scan of an Immunosuppressive Peptide (CP): Analysis of Structure–Function Relationships. Chemical Biology & Drug Design. 81(2). 167–174. 8 indexed citations
13.
Ali, Marina, et al.. (2011). 99mTc-technetium labeling of antiarthritic peptides to evaluate homing and biodistribution at inflamed joints. Nuclear Medicine and Biology. 38(5). 751–756. 5 indexed citations
14.
Lu, Yun, Raghwa Sharma, Marina Ali, Karen Byth, & Nicholas Manolios. (2011). Anti-Arthritic Effects of Immunomodulatory Peptide Injected in Joints. Current Drug Delivery. 8(6). 600–606. 1 indexed citations
15.
Manolios, Nicholas, et al.. (2010). T-cell antigen receptor (TCR) transmembrane peptides. Cell Adhesion & Migration. 4(2). 273–283. 8 indexed citations
16.
Zheng, Gang, Allan M. Torres, Marina Ali, Nicholas Manolios, & William S. Price. (2010). NMR study of the structure and self‐association of core peptide in aqueous solution and DPC micelles. Biopolymers. 96(2). 177–180. 6 indexed citations
17.
Amon, Michael, Marina Ali, Kristopher Hall, et al.. (2008). Kinetic and conformational properties of a novel T‐cell antigen receptor transmembrane peptide in model membranes. Journal of Peptide Science. 14(6). 714–724. 25 indexed citations
18.
19.
Vandebona, Himesha, et al.. (2006). Immunoreceptor Transmembrane Peptides and Their Effect on Natural Killer (NK) Cell Cytotoxicity. Protein and Peptide Letters. 13(10). 1017–1024. 12 indexed citations
20.
Amon, Michael, et al.. (2006). Lipidation and glycosylation of a T cell antigen receptor (TCR) transmembrane hydrophobic peptide dramatically enhances in vitro and in vivo function. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1763(8). 879–888. 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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