K Shriver

733 total citations
13 papers, 626 citations indexed

About

K Shriver is a scholar working on Virology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, K Shriver has authored 13 papers receiving a total of 626 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Virology, 5 papers in Molecular Biology and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in K Shriver's work include HIV Research and Treatment (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Virus-based gene therapy research (3 papers). K Shriver is often cited by papers focused on HIV Research and Treatment (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Virus-based gene therapy research (3 papers). K Shriver collaborates with scholars based in United States, United Kingdom and Canada. K Shriver's co-authors include Larry R. Rohrschneider, Loretta Goetsch, Breck Byers, N.B. LaThangue, Woon Ling Chan, Chris Dawson, Michael B. A. Oldstone, A J Langlois, Rachel Schrier and J. W. Gnann and has published in prestigious journals such as The Journal of Cell Biology, The EMBO Journal and The Journal of Immunology.

In The Last Decade

K Shriver

13 papers receiving 585 citations

Peers

K Shriver
Comparison fields: 5 of 74
  • Molecular Biology 253
  • Epidemiology 175
  • Virology 154
  • Cell Biology 146
  • Immunology 133
Replace Mathilda Sjöberg with:
Mathilda Sjöberg Sweden
Noel M. Inocencio Japan
Dirk-Jan E. Opstelten Netherlands
Tianci Luo United States
Roland Graf Germany
Michelle A. Yankauckas United States
Jörg Votteler Germany
Hélène Raux France
Caroline Denesvre France
P. Hérion Mexico
Mathilda Sjöberg Sweden View profile →
Citations per field, relative to K Shriver
K Shriver · 1×
Citations per year, relative to K Shriver
K Shriver · 1×

Countries citing papers authored by K Shriver

Since Specialization
Citations

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

Fields of papers citing papers by K Shriver

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K Shriver

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

All Works

13 of 13 papers shown
# Work Indexed citations
1 25
2 31
3
Evaluation of an atypical HIV type 1 antibody. Serologic pattern leading to detection of HIV type 2 infection in North America.
4
4 25
5 62
6 19
7 29
8 10
9 75
10 94
11 28
12 130
13 94

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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