Helen Hansen

796 total citations
4 papers, 641 citations indexed

About

Helen Hansen is a scholar working on Virology, Epidemiology and Immunology. According to data from OpenAlex, Helen Hansen has authored 4 papers receiving a total of 641 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Virology, 2 papers in Epidemiology and 2 papers in Immunology. Recurrent topics in Helen Hansen's work include HIV Research and Treatment (2 papers), T-cell and Retrovirus Studies (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Helen Hansen is often cited by papers focused on HIV Research and Treatment (2 papers), T-cell and Retrovirus Studies (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Helen Hansen collaborates with scholars based in United States and Japan. Helen Hansen's co-authors include Niels C. Pedersen, Janet K. Yamamoto, Takato Ishida, T Sawa, Teresa Y. Morishita, Takiko Okuda, Reiko Nakamura, G Uhlenbruck, Panagiotis Korfiatis and Terri Rice and has published in prestigious journals such as Neuro-Oncology, Journal of the American Veterinary Medical Association and Veterinary Immunology and Immunopathology.

In The Last Decade

Helen Hansen

4 papers receiving 608 citations

Peers

Countries citing papers authored by Helen Hansen

Since Specialization

Citations

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

Fields of papers citing papers by Helen Hansen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Helen Hansen

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

All Works

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4 of 4 papers shown

#	Work	Indexed citations
1	COMP-05. EVALUATION OF A DEEP LEARNING ARCHITECTURE FOR MRI PREDICTION OF IDH, 1p19q AND TERT IN GLIOMA PATIENTS 2018 ·Neuro-Oncology ·Panagiotis Korfiatis, Daniel H. Lachance, Ian F. Parney, Jan C. Buckner, Jeanette E. Eckel‐Passow, Paul A. Decker, Robert B. Jenkins, Margaret Wrensch, John Wiencke, Helen Hansen, Terri Rice, Lucie McCoy, Sarah J. Nelson, Jennifer Clarke, Jennie Taylor, Tracy Luks, Bradley J. Erickson	2
2	Feline immunodeficiency virus infection 1989 ·Veterinary Immunology and Immunopathology ·Niels C. Pedersen, Janet K. Yamamoto, Takato Ishida, Helen Hansen	298
3	Epidemiologic and clinical aspects of feline immunodeficiency virus infection in cats from the continental United States and Canada and possible mode of transmission 1989 ·Journal of the American Veterinary Medical Association ·Janet K. Yamamoto, Helen Hansen, (unknown), Teresa Y. Morishita, Takiko Okuda, T Sawa, Reiko Nakamura, Niels C. Pedersen	340
4	[On the immunogenicity of cattle erythrocyte mucoids]. 1966 ·PubMed ·Helen Hansen, G Uhlenbruck	1

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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