Michael Kubitz

4.1k total citations
8 papers, 591 citations indexed

About

Michael Kubitz is a scholar working on Virology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Michael Kubitz has authored 8 papers receiving a total of 591 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Virology, 4 papers in Molecular Biology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Michael Kubitz's work include HIV Research and Treatment (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Glycosylation and Glycoproteins Research (3 papers). Michael Kubitz is often cited by papers focused on HIV Research and Treatment (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Glycosylation and Glycoproteins Research (3 papers). Michael Kubitz collaborates with scholars based in United States, Russia and Canada. Michael Kubitz's co-authors include William R. Schief, Yumiko Adachi, Oleksandr Kalyuzhniy, James C. Paulson, Roland L. Dunbrack, Jared Adolf‐Bryfogle, Dennis R. Burton, Brian D. Weitzner, Devin Sok and Xiaozhen Hu and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Michael Kubitz

6 papers receiving 585 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Kubitz United States 5 362 251 221 198 85 8 591
D. Cameron Dunlop United Kingdom 8 296 0.8× 319 1.3× 206 0.9× 454 2.3× 111 1.3× 8 679
Kévin Canis United Kingdom 12 437 1.2× 189 0.8× 121 0.5× 84 0.4× 61 0.7× 14 783
Kavitha Baruah United Kingdom 10 563 1.6× 346 1.4× 466 2.1× 133 0.7× 51 0.6× 11 783
Snežana Vasiljević United Kingdom 14 694 1.9× 278 1.1× 356 1.6× 364 1.8× 160 1.9× 22 1.0k
Paul A. Salinas United States 8 408 1.1× 103 0.4× 242 1.1× 202 1.0× 89 1.0× 11 609
K. Strutzenberger Austria 7 266 0.7× 237 0.9× 213 1.0× 372 1.9× 139 1.6× 9 624
W. Steinfellner Austria 4 236 0.7× 234 0.9× 212 1.0× 372 1.9× 136 1.6× 4 549
Terri Jones United States 7 413 1.1× 265 1.1× 555 2.5× 247 1.2× 104 1.2× 10 788
Peter D. Kwong United States 3 197 0.5× 269 1.1× 150 0.7× 355 1.8× 165 1.9× 4 542
Cassie Liu United States 8 195 0.5× 343 1.4× 162 0.7× 397 2.0× 196 2.3× 13 683

Countries citing papers authored by Michael Kubitz

Since Specialization
Citations

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

Fields of papers citing papers by Michael Kubitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Kubitz

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

All Works

8 of 8 papers shown
1.
Sutton, Henry J., Jon M. Steichen, Torben Schiffner, et al.. (2025). Simultaneous induction of multiple classes of broadly neutralizing antibody precursors by combination germline-targeting immunization in nonhuman primates. Science Immunology. 10(112). eadu8878–eadu8878.
2.
Lin, Xiaohe, Christopher A. Cottrell, Oleksandr Kalyuzhniy, et al.. (2025). Structural insights into VRC01-class bnAb precursors with diverse light chains elicited in the IAVI G001 human vaccine trial. Proceedings of the National Academy of Sciences. 122(33). e2510163122–e2510163122.
3.
Adolf‐Bryfogle, Jared, Oleksandr Kalyuzhniy, Michael Kubitz, et al.. (2018). RosettaAntibodyDesign (RAbD): A general framework for computational antibody design. PLoS Computational Biology. 14(4). e1006112–e1006112. 139 indexed citations
4.
Irimia, A., Andreia M. Serra, Anita Sarkar, et al.. (2017). Lipid interactions and angle of approach to the HIV-1 viral membrane of broadly neutralizing antibody 10E8: Insights for vaccine and therapeutic design. PLoS Pathogens. 13(2). e1006212–e1006212. 56 indexed citations
5.
Cao, Liwei, Jolene K. Diedrich, Daniel W. Kulp, et al.. (2017). Global site-specific N-glycosylation analysis of HIV envelope glycoprotein. Nature Communications. 8(1). 14954–14954. 141 indexed citations
6.
Sok, Devin, Bryan Briney, Joseph G. Jardine, et al.. (2016). Priming HIV-1 broadly neutralizing antibody precursors in human Ig loci transgenic mice. Science. 353(6307). 1557–1560. 109 indexed citations
7.
Duong, Bao, Takayuki Ota, Gladys C. Completo, et al.. (2010). Decoration of T-independent antigen with ligands for CD22 and Siglec-G can suppress immunity and induce B cell tolerance in vivo. The Journal of Experimental Medicine. 207(2). 445–445. 3 indexed citations
8.
Duong, Bao, Hua Tian, Takayuki Ota, et al.. (2009). Decoration of T-independent antigen with ligands for CD22 and Siglec-G can suppress immunity and induce B cell tolerance in vivo. The Journal of Experimental Medicine. 207(1). 173–187. 143 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