Jonathan J. Hubbard

21 total papers · 815 total citations
12 papers, 423 citations indexed

About

Jonathan J. Hubbard is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology and Molecular Biology. According to data from OpenAlex, Jonathan J. Hubbard has authored 12 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Immunology and 3 papers in Molecular Biology. Recurrent topics in Jonathan J. Hubbard's work include Monoclonal and Polyclonal Antibodies Research (5 papers), Hepatitis C virus research (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Jonathan J. Hubbard is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (5 papers), Hepatitis C virus research (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Jonathan J. Hubbard collaborates with scholars based in United States, Norway and France. Jonathan J. Hubbard's co-authors include Michał Pyzik, Richard S. Blumberg, Jan Terje Andersen, Inger Sandlie, Kine Marita Knudsen Sand, Laura P. James, S. Michael Owens, David Williams, Shyam Kottilil and W. Brooks Gentry and has published in prestigious journals such as The Lancet, The Journal of Experimental Medicine and Blood.

In The Last Decade

Jonathan J. Hubbard

10 papers receiving 411 citations

Hit Papers

The Neonatal Fc Receptor ... 2019 2026 2021 2023 2019 50 100 150 200 250

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jonathan J. Hubbard 176 163 140 47 43 12 423
Lisa K. Kozicky 87 0.5× 186 1.1× 130 0.9× 38 0.8× 32 0.7× 13 424
Johannes Gessner 172 1.0× 211 1.3× 146 1.0× 32 0.7× 24 0.6× 11 435
Ivo S. Hansen 92 0.5× 264 1.6× 101 0.7× 25 0.5× 38 0.9× 8 439
Nely Rodríguez‐Zhurbenko 80 0.5× 252 1.5× 106 0.8× 21 0.4× 21 0.5× 11 397
Richard G. Keightley 131 0.7× 307 1.9× 144 1.0× 34 0.7× 34 0.8× 8 486
Vivek Trivedi 106 0.6× 77 0.5× 191 1.4× 46 1.0× 62 1.4× 20 492
JS Moore 152 0.9× 191 1.2× 128 0.9× 113 2.4× 35 0.8× 13 424
Laura Johns 59 0.3× 124 0.8× 125 0.9× 37 0.8× 76 1.8× 11 372
Janakiraman Vani 106 0.6× 278 1.7× 91 0.7× 90 1.9× 51 1.2× 20 492
Laleh Khodadadi 68 0.4× 263 1.6× 52 0.4× 47 1.0× 33 0.8× 11 417

Countries citing papers authored by Jonathan J. Hubbard

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan J. Hubbard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan J. Hubbard. 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 Jonathan J. Hubbard. The network helps show where Jonathan J. Hubbard may publish in the future.

Co-authorship network of co-authors of Jonathan J. Hubbard

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

All Works

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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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