Jonathan J. M. Landry

3.3k citations
24 papers · 1.1k indexed · 1 hit paper · h-index 13
Topics
Single-cell and spatial transcriptomics (4 papers)Hematopoietic Stem Cell Transplantation (3 papers)RNA and protein synthesis mechanisms (3 papers)

In The Last Decade

Jonathan J. M. Landry

22 papers receiving 1.1k citations

Hit Papers

In situ structural analysis of SARS-CoV-2 spike reveals f...20202026202220242020100200300400

Peers

Jonathan J. M. Landry
Comparison fields: 5 of 128
  • Molecular Biology 555
  • Infectious Diseases 341
  • Immunology 155
  • Genetics 87
  • Ecology 86
Replace Katrin Bagola with:
Katrin Bagola Germany
Matthias Thoms Germany
Anja W. M. de Jong Netherlands
Robert Buschauer Germany
Kathleen Börner Germany
Vibor Laketa Germany
Prasanna R. Kolatkar Singapore
Jingdong Cheng Germany
Caterina Strambio‐De‐Castillia United States
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Citations per year

Countries citing papers authored by Jonathan J. M. Landry

Since Specialization
Citations

This map shows the geographic impact of Jonathan J. M. Landry'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. M. Landry 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. M. Landry more than expected).

Fields of papers citing papers by Jonathan J. M. Landry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan J. M. Landry

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

All Works

20 of 20 papers shown
#WorkIndexed citations
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8 30
9 68
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11 7
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13 22
14
In situ structural analysis of SARS-CoV-2 spike reveals flexibility mediated by three hingesbreakdown →
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15 14
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18 12
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20 335

About Jonathan J. M. Landry

Jonathan J. M. Landry is a scholar working on Immunology, Hematology and Molecular Biology, having authored 24 papers that have together received 1.1k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (4 papers), Hematopoietic Stem Cell Transplantation (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Structural Biology (38 citations), Infectious Diseases (341 citations) and Molecular Biology (555 citations). Jonathan J. M. Landry has collaborated with scholars based in Germany, Portugal and Switzerland. Frequent co-authors include Tobias Rausch, Nayara Azevedo, Martin Beck, Vladimı́r Beneš, Anna Jauch, Wolfgang Huber, Nicolas Delhomme, Raeka S. Aiyar, Gerhard Hummer and Jan O. Korbel. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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