Hanna Hailu

977 total citations
10 papers, 611 citations indexed

About

Hanna Hailu is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Hanna Hailu has authored 10 papers receiving a total of 611 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Oncology. Recurrent topics in Hanna Hailu's work include Glycosylation and Glycoproteins Research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Nanoparticle-Based Drug Delivery (2 papers). Hanna Hailu is often cited by papers focused on Glycosylation and Glycoproteins Research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Nanoparticle-Based Drug Delivery (2 papers). Hanna Hailu collaborates with scholars based in United Kingdom, United States and Ethiopia. Hanna Hailu's co-authors include Stefanie Gerstberger, Smita B. Gunnoo, Benjamin G. Davis, Gonçalo J. L. Bernardes, Omar Boutureira, Christopher J. Schofield, Marta Fernández‐González, Justin M. Chalker, Laura Griffin and Ronit Satchi‐Fainaro and has published in prestigious journals such as PLoS ONE, Nature Structural & Molecular Biology and Science Translational Medicine.

In The Last Decade

Hanna Hailu

9 papers receiving 598 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hanna Hailu United Kingdom 7 436 211 118 99 58 10 611
Reik Löser Germany 17 385 0.9× 222 1.1× 97 0.8× 191 1.9× 26 0.4× 54 850
Mateusz Psurski Poland 15 220 0.5× 169 0.8× 82 0.7× 107 1.1× 41 0.7× 50 579
Jessica Iegre United Kingdom 14 533 1.2× 180 0.9× 99 0.8× 167 1.7× 53 0.9× 19 707
Stefano Tomassi Italy 16 497 1.1× 156 0.7× 57 0.5× 147 1.5× 27 0.5× 42 746
Ling Y. Lee Australia 11 647 1.5× 151 0.7× 97 0.8× 90 0.9× 15 0.3× 12 745
Konstantinos Kiakos United Kingdom 15 523 1.2× 228 1.1× 68 0.6× 299 3.0× 19 0.3× 43 890
Lakshmi Krishnamoorthy United States 7 333 0.8× 68 0.3× 57 0.5× 98 1.0× 23 0.4× 9 560
D. Gaál Hungary 15 327 0.8× 67 0.3× 69 0.6× 127 1.3× 65 1.1× 38 552
Lu Meng United States 18 619 1.4× 336 1.6× 195 1.7× 178 1.8× 13 0.2× 32 882
Masami Otsuka Japan 12 241 0.6× 141 0.7× 115 1.0× 64 0.6× 116 2.0× 24 582

Countries citing papers authored by Hanna Hailu

Since Specialization
Citations

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

Fields of papers citing papers by Hanna Hailu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanna Hailu

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

All Works

10 of 10 papers shown
1.
Bidgood, Sarah, David Kallenberg, Anthony Turner, et al.. (2024). POS0722 PURIFIED MONOCLONAL RHEUMATOID FACTORS BIND FC CONTAINING TNF INHIBITORS IN VITRO BUT NOT THE FC-FREE TNF INHIBITOR, CERTOLIZUMAB PEGOL. Annals of the Rheumatic Diseases. 83. 727–728.
2.
3.
Rowley, Tania F., Mike Aylott, Robert Griffin, et al.. (2018). Engineered hexavalent Fc proteins with enhanced Fc-gamma receptor avidity provide insights into immune-complex interactions. Communications Biology. 1(1). 146–146. 20 indexed citations
4.
5.
Ferguson, Elaine L., Anna Scomparin, Hanna Hailu, & Ronit Satchi‐Fainaro. (2017). HPMA copolymer–phospholipase C and dextrin–phospholipase A2 as model triggers for polymer enzyme liposome therapy (PELT). Journal of drug targeting. 25(9-10). 818–828. 6 indexed citations
6.
Burak, M. Furkan, Karen Inouye, Alexandra Lee, et al.. (2015). Development of a therapeutic monoclonal antibody that targets secreted fatty acid–binding protein aP2 to treat type 2 diabetes. Science Translational Medicine. 7(319). 319ra205–319ra205. 73 indexed citations
7.
Drinkwater, Nyssa, Benjamin P. Cossins, Anthony H. Keeble, et al.. (2014). Human immunoglobulin E flexes between acutely bent and extended conformations. Nature Structural & Molecular Biology. 21(4). 397–404. 53 indexed citations
8.
Cain, Katharine, et al.. (2013). A CHO cell line engineered to express XBP1 and ERO1‐Lα has increased levels of transient protein expression. Biotechnology Progress. 29(3). 697–706. 74 indexed citations
9.
Chalker, Justin M., Smita B. Gunnoo, Omar Boutureira, et al.. (2011). Methods for converting cysteine to dehydroalanine on peptides and proteins. Chemical Science. 2(9). 1666–1666. 305 indexed citations
10.
Satchi‐Fainaro, Ronit, et al.. (2003). PDEPT:  Polymer-Directed Enzyme Prodrug Therapy. 2. HPMA Copolymer-β-lactamase and HPMA Copolymer-C-Dox as a Model Combination. Bioconjugate Chemistry. 14(4). 797–804. 70 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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2026