James W. Saville

1.4k citations
14 papers · 781 indexed · 1 hit paper · h-index 10

James W. Saville

14 papers receiving 770 citations

Hit Papers

SARS-CoV-2 Omicron variant: Antibody evasion and cryo-EM ...4082022202620232024100200300400

Peers

James W. Saville
Comparison fields: 5 of 74
  • Infectious Diseases 648
  • Animal Science and Zoology 87
  • Structural Biology 10
  • Computational Theory and Mathematics 102
  • Radiology, Nuclear Medicine and Imaging 106
Replace Shanti Swaroop Srivastava with:
Shanti Swaroop Srivastava India
Dhiraj Mannar Canada
Alison Berezuk Canada
Victoria Stalls United States
Katarzyna Janowska United States
Megan Kopp United States
Rory Henderson United States
S. Gobeil Canada
Robert N. Kirchdoerfer United States
Maia Kavanagh Williamson United Kingdom
James W. Saville relative to Shanti Swaroop Srivastava India Shanti Swaroop Srivastava's profile →
Citations per field
00.5×1.5×
Shanti Swaroop Srivastava · 1×
Citations per year

Countries citing papers authored by James W. Saville

Since Specialization
Citations

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

Fields of papers citing papers by James W. Saville

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James W. Saville. 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 James W. Saville. The network helps show where James W. Saville may publish in the future.

Co-authorship network

The 25 scholars most cited alongside James W. Saville, 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 James W. Saville Line = papers co-authored together James W. Saville links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 20251
2 20248
3 202312
4 202310
5
SARS-CoV-2 Omicron variant: Antibody evasion and cryo-EM structure of spike protein–ACE2 complexbreakdown →
2022408
6 202238
7 202216
8 202263
9 2021135
10 202162
11 202011
12 20193
13 201912
14 20172

About James W. Saville

James W. Saville is a scholar working on Equine, Infectious Diseases and Physiology, having authored 14 papers that have together received 781 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (9 papers), COVID-19 Clinical Research Studies (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), SARS-CoV-2 detection and testing (3 papers), Advanced Biosensing Techniques and Applications (2 papers), Biotin and Related Studies (2 papers), Advanced biosensing and bioanalysis techniques (2 papers) and Viral gastroenteritis research and epidemiology (1 paper). The work is most often cited by research in Infectious Diseases (648 citations), Animal Science and Zoology (87 citations) and Structural Biology (10 citations). James W. Saville has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Sriram Subramaniam, Alison Berezuk, Shanti Swaroop Srivastava, Xing Zhu, Katharine S. Tuttle, Dhiraj Mannar, Inna Sekirov, Ana Márquez, Steven Zhou and Dimiter S. Dimitrov.

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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