Jonathan J. Hubbard

827 total citations · 1 hit paper
12 papers, 427 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 427 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, France and Norway. Jonathan J. Hubbard's co-authors include Richard S. Blumberg, Michał Pyzik, Inger Sandlie, Kine Marita Knudsen Sand, Jan Terje Andersen, Laura P. James, S. Michael Owens, Elizabeth M. Laurenzana, W. Brooks Gentry and Richard A. Lempicki 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 415 citations

Hit Papers

The Neonatal Fc Receptor (FcRn): A Misnomer? 2019 2026 2021 2023 2019 50 100 150 200 250

Peers

Jonathan J. Hubbard
Comparison fields: 5 of 74
  • Radiology, Nuclear Medicine and Imaging 178
  • Immunology 165
  • Molecular Biology 141
  • Hematology 49
  • Genetics 44
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Johannes Gessner Germany View profile →
Citations per field, relative to Jonathan J. Hubbard
Jonathan J. Hubbard · 1×
Citations per year, relative to Jonathan J. Hubbard
Jonathan J. Hubbard · 1×

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

12 of 12 papers shown
# Work Indexed citations
1 0
2 0
3 1
4 25
5 34
6
The Neonatal Fc Receptor (FcRn): A Misnomer? breakdown →
297
7 12
8 18
9 5
10 23
11 1
12 11

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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