Sydney I. Ramirez

14.0k citations
12 papers · 2.6k indexed · 1 hit paper · h-index 9
Topics
SARS-CoV-2 and COVID-19 Research (5 papers)COVID-19 Clinical Research Studies (3 papers)Viral gastroenteritis research and epidemiology (2 papers)

In The Last Decade

Sydney I. Ramirez

12 papers receiving 2.6k citations

Hit Papers

Targets of T Cell Responses to SARS-CoV-2 Coronavirus in ...2020202620222024202050010001.5k2.0k

Peers

Sydney I. Ramirez
Comparison fields: 5 of 104
  • Infectious Diseases 2.3k
  • Immunology 572
  • Molecular Biology 549
  • Neurology 524
  • Modeling and Simulation 249
Replace Carolyn Rydyznski Moderbacher with:
Carolyn Rydyznski Moderbacher United States
Aaron Sutherland United States
Daniel Marrama United States
José Mateus United States
C Tham Singapore
Nina Le Bert Singapore
Kamini Kunasegaran Singapore
Jared Feldman United States
Adeline Chia Singapore
Evan C. Lam United States
Sydney I. Ramirez relative to Carolyn Rydyznski Moderbacher United States Carolyn Rydyznski Moderbacher's profile →
Citations per field
00.5×1.5×
Carolyn Rydyznski Moderbacher · 1×
Citations per year

Countries citing papers authored by Sydney I. Ramirez

Since Specialization
Citations

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

Fields of papers citing papers by Sydney I. Ramirez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sydney I. Ramirez. 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 Sydney I. Ramirez. The network helps show where Sydney I. Ramirez may publish in the future.

Co-authorship network of co-authors of Sydney I. Ramirez

This figure shows the co-authorship network connecting the top 25 collaborators of Sydney I. Ramirez. A scholar is included among the top collaborators of Sydney I. Ramirez 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 Sydney I. Ramirez. Sydney I. Ramirez 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
#WorkIndexed citations
1 11
2 32
3 1
4 5
5 25
6 28
7
Targets of T Cell Responses to SARS-CoV-2 Coronavirus in Humans with COVID-19 Disease and Unexposed Individualsbreakdown →
2241
8 8
9 17
10 113
11 141
12 18

About Sydney I. Ramirez

Sydney I. Ramirez is a scholar working on Infectious Diseases, Transplantation and Animal Science and Zoology, having authored 12 papers that have together received 2.6k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), COVID-19 Clinical Research Studies (3 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Infectious Diseases (2.3k citations), Modeling and Simulation (249 citations) and Neurology (524 citations). Sydney I. Ramirez has collaborated with scholars based in United States, Italy and South Korea. Frequent co-authors include Shane Crotty, Daniela Weiskopf, Alessandro Sette, Alba Grifoni, Davey M. Smith, April Frazier, José Mateus, Stephen A. Rawlings, Jennifer M. Dan and Aaron Sutherland. Their work appears in journals such as Nature, Cell and Cancer Cell.

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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