Joseph S. Bednash

81 total papers · 1.7k total citations
34 papers, 762 citations indexed

About

Joseph S. Bednash is a scholar working on Molecular Biology, Infectious Diseases and Immunology. According to data from OpenAlex, Joseph S. Bednash has authored 34 papers receiving a total of 762 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 14 papers in Infectious Diseases and 7 papers in Immunology. Recurrent topics in Joseph S. Bednash's work include SARS-CoV-2 and COVID-19 Research (12 papers), COVID-19 Clinical Research Studies (9 papers) and Inflammasome and immune disorders (6 papers). Joseph S. Bednash is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (12 papers), COVID-19 Clinical Research Studies (9 papers) and Inflammasome and immune disorders (6 papers). Joseph S. Bednash collaborates with scholars based in United States and United Kingdom. Joseph S. Bednash's co-authors include Rama K. Mallampalli, J.D. Londino, Rama K. Mallampalli, Eugene M. Oltz, Sarah Wheeler, Yi-Min Zheng, Linda J. Saif, Claire Carlin, Sufi M. Thomas and Richard J. Gumina and has published in prestigious journals such as Cell, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Joseph S. Bednash

30 papers receiving 753 citations

Hit Papers

Immune evasion, infectivi... 2024 2026 2024 20 40 60

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Joseph S. Bednash 391 256 170 120 83 34 762
Xiaojun Li 284 0.7× 264 1.0× 51 0.3× 165 1.4× 70 0.8× 25 746
Bomiao Cui 188 0.5× 195 0.8× 108 0.6× 98 0.8× 54 0.7× 27 758
Xiaoyu Guo 223 0.6× 106 0.4× 88 0.5× 105 0.9× 154 1.9× 62 630
Carlo Carolis 459 1.2× 198 0.8× 91 0.5× 105 0.9× 37 0.4× 32 900
Haoran Guo 315 0.8× 194 0.8× 150 0.9× 95 0.8× 39 0.5× 43 707
Wentao Zhang 189 0.5× 148 0.6× 259 1.5× 174 1.4× 61 0.7× 33 676
Hong Peng 306 0.8× 210 0.8× 129 0.8× 52 0.4× 53 0.6× 24 659
Dan Yin 265 0.7× 107 0.4× 139 0.8× 265 2.2× 180 2.2× 55 842
Mohinder Sarna 210 0.5× 133 0.5× 81 0.5× 128 1.1× 28 0.3× 42 734
Cong Sun 178 0.5× 137 0.5× 147 0.9× 249 2.1× 46 0.6× 46 693

Countries citing papers authored by Joseph S. Bednash

Since Specialization
Citations

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

Fields of papers citing papers by Joseph S. Bednash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joseph S. Bednash. 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 Joseph S. Bednash. The network helps show where Joseph S. Bednash may publish in the future.

Co-authorship network of co-authors of Joseph S. Bednash

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

All Works

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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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