Shannon Hogan

810 total citations
3 papers, 104 citations indexed

About

Shannon Hogan is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Animal Science and Zoology. According to data from OpenAlex, Shannon Hogan has authored 3 papers receiving a total of 104 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Radiology, Nuclear Medicine and Imaging and 1 paper in Animal Science and Zoology. Recurrent topics in Shannon Hogan's work include Advanced Biosensing Techniques and Applications (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Glycosylation and Glycoproteins Research (1 paper). Shannon Hogan is often cited by papers focused on Advanced Biosensing Techniques and Applications (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Glycosylation and Glycoproteins Research (1 paper). Shannon Hogan collaborates with scholars based in United States. Shannon Hogan's co-authors include Robert C. Ladner, Andrew E. Nixon, Daniel J. Sexton, Guannan Kuang, Dina Wassaf, Que Thanh Thanh Nguyen, Jérémy Lambert, Csaba Pazmany and Qilong Wu and has published in prestigious journals such as Analytical Biochemistry, BioTechniques and University of Minnesota Digital Conservancy (University of Minnesota).

In The Last Decade

Shannon Hogan

2 papers receiving 98 citations

Peers

Shannon Hogan
Csaba Pazmany United States
L Holt United Kingdom
Harnish Mukesh Naik United States
Bryan R. Gorman United States
Deepika Gollapudi United States
Douglas Rank United States
David Fuchs Switzerland
Csaba Pazmany United States
Shannon Hogan
Citations per year, relative to Shannon Hogan Shannon Hogan (= 1×) peers Csaba Pazmany

Countries citing papers authored by Shannon Hogan

Since Specialization
Citations

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

Fields of papers citing papers by Shannon Hogan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shannon Hogan

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

All Works

3 of 3 papers shown
1.
Wassaf, Dina, Guannan Kuang, Qilong Wu, et al.. (2006). High-throughput affinity ranking of antibodies using surface plasmon resonance microarrays. Analytical Biochemistry. 351(2). 241–253. 96 indexed citations
2.
Hogan, Shannon, et al.. (2005). URSA: ultra rapid selection of antibodies from an antibody phage display library. BioTechniques. 38(4). 536–538. 7 indexed citations
3.
Hogan, Shannon, et al.. (1999). Development of an ELISA for the Detection of Antibodies to Swine Influenza Virus in Swine Sera. University of Minnesota Digital Conservancy (University of Minnesota). 1 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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