Gaelen Guzman

1.2k total citations · 1 hit paper
11 papers, 593 citations indexed

About

Gaelen Guzman is a scholar working on Molecular Biology, Immunology and Infectious Diseases. According to data from OpenAlex, Gaelen Guzman has authored 11 papers receiving a total of 593 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Immunology and 3 papers in Infectious Diseases. Recurrent topics in Gaelen Guzman's work include SARS-CoV-2 and COVID-19 Research (2 papers), COVID-19 Clinical Research Studies (2 papers) and Sphingolipid Metabolism and Signaling (2 papers). Gaelen Guzman is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (2 papers), COVID-19 Clinical Research Studies (2 papers) and Sphingolipid Metabolism and Signaling (2 papers). Gaelen Guzman collaborates with scholars based in United States, Netherlands and Germany. Gaelen Guzman's co-authors include Steven A. Carr, Namrata D. Udeshi, Vamsi K. Mootha, Tanya Svinkina, Alice Y. Ting, Victoria Hung, Stephanie S Lam, Fikadu Tafesse, Marcel E. Curlin and Devin Schoen and has published in prestigious journals such as Science, Journal of Biological Chemistry and Cell Reports.

In The Last Decade

Gaelen Guzman

10 papers receiving 585 citations

Hit Papers

Vaccination before or after SARS-CoV-2 infection leads to... 2022 2026 2023 2024 2022 50 100 150

Peers

Gaelen Guzman
Comparison fields: 5 of 80
  • Molecular Biology 309
  • Infectious Diseases 190
  • Cell Biology 159
  • Epidemiology 81
  • Immunology 74
Replace Jonathan J. Madara with:
Jonathan J. Madara United States
Xueen Liu China
Jérôme Cattin‐Ortolá United States
B A Kruskal United States
Jinyi Yang China
Bhavisha Rathod Canada
Jaspal Kaur Kumar Singapore
Amir Banaei‐Esfahani Switzerland
Malathy Satkunarajah Canada
Indira Padmalayam United States
Jonathan J. Madara United States View profile →
Citations per field, relative to Gaelen Guzman
Gaelen Guzman · 1×
Citations per year, relative to Gaelen Guzman
Gaelen Guzman · 1×

Countries citing papers authored by Gaelen Guzman

Since Specialization
Citations

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

Fields of papers citing papers by Gaelen Guzman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaelen Guzman

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

All Works

11 of 11 papers shown
# Work Indexed citations
1 0
2 4
3 16
4
Vaccination before or after SARS-CoV-2 infection leads to robust humoral response and antibodies that effectively neutralize variants breakdown →
173
5 2
6 11
7 2
8 2
9 78
10 275
11 30

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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