Santseharay Ramírez

2.6k citations
60 papers · 1.7k indexed · 1 hit paper · h-index 25

Santseharay Ramírez

56 papers receiving 1.7k citations

Hit Papers

Nirmatrelvir-resistant SARS-CoV-2 variants with high fitn...13220222026202320244080120

Peers

Santseharay Ramírez
Comparison fields: 5 of 80
  • Hepatology 1.0k
  • Infectious Diseases 545
  • Epidemiology 960
  • Nephrology 104
  • Virology 65
Replace Shinya Maekawa with:
Shinya Maekawa Japan
Masaya Sugiyama Japan
Eisuke Murakami Japan
Shufeng Liu United States
Rodney S. Russell Canada
Judith M. Gottwein Denmark
Inge Vliegen Belgium
Artur Kaul Germany
Feng Cao United States
Jacques Friborg United States
Santseharay Ramírez relative to Shinya Maekawa Japan Shinya Maekawa's profile →
Citations per field
00.5×8.7×
Shinya Maekawa · 1×
Citations per year

Countries citing papers authored by Santseharay Ramírez

Since Specialization
Citations

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

Fields of papers citing papers by Santseharay Ramírez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Santseharay Ramírez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Santseharay Ramírez Line = papers co-authored together Santseharay Ramírez links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20241
4 20247
5 20235
6 202310
7
Nirmatrelvir-resistant SARS-CoV-2 variants with high fitness in an infectious cell culture systembreakdown →
2022132
8 202224
9 202124
10 202163
11 202137
12 20219
13 20205
14 20208
15 20198
16 201832
17 20183
18 201118
19 200942
20 20077

About Santseharay Ramírez

Santseharay Ramírez is a scholar working on Hepatology, Infectious Diseases and Epidemiology, having authored 60 papers that have together received 1.7k indexed citations. Recurring topics across this work include Hepatitis C virus research (36 papers), Hepatitis B Virus Studies (28 papers), SARS-CoV-2 and COVID-19 Research (20 papers), Liver Disease Diagnosis and Treatment (19 papers), COVID-19 Clinical Research Studies (10 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), SARS-CoV-2 detection and testing (7 papers) and HIV/AIDS drug development and treatment (6 papers). The work is most often cited by research in Hepatology (1.0k citations), Infectious Diseases (545 citations) and Epidemiology (960 citations). Santseharay Ramírez has collaborated with scholars based in Denmark, Spain and United States. Frequent co-authors include Jens Bukh, Judith M. Gottwein, Yi‐Ping Li, Lotte S. Mikkelsen, Ulrik Fahnøe, Sanne B. Jensen, Long V. Pham, Xavier Forns, Sofía Pérez‐del‐Pulgar and Troels K. H. Scheel. Their work appears in journals such as Proceedings of the National Academy of Sciences, Gastroenterology and PLoS ONE.

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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