Mary K. Wloch

26 total papers · 1.1k total citations
22 papers, 856 citations indexed

About

Mary K. Wloch is a scholar working on Epidemiology, Immunology and Molecular Biology. According to data from OpenAlex, Mary K. Wloch has authored 22 papers receiving a total of 856 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Epidemiology, 10 papers in Immunology and 6 papers in Molecular Biology. Recurrent topics in Mary K. Wloch's work include Cytomegalovirus and herpesvirus research (9 papers), Herpesvirus Infections and Treatments (6 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). Mary K. Wloch is often cited by papers focused on Cytomegalovirus and herpesvirus research (9 papers), Herpesvirus Infections and Treatments (6 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). Mary K. Wloch collaborates with scholars based in United States, Canada and Lebanon. Mary K. Wloch's co-authors include Larry Smith, Alain Rolland, Alice Chu, Michael Boeckh, Marissa B. Wilck, Amelia Langston, Mohamed A. Kharfan‐Dabaja, Richard T. Kenney, David C. Kaslow and Gary S. Gilkeson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Mary K. Wloch

21 papers receiving 809 citations

Author Peers

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

Author Last Decade Papers Cites
Mary K. Wloch 495 336 226 185 79 22 856
F W Heessen 523 1.1× 456 1.4× 181 0.8× 158 0.9× 133 1.7× 23 1.1k
Dace Skrastiņa 420 0.8× 246 0.7× 297 1.3× 299 1.6× 95 1.2× 45 1.0k
Deborah Moore 595 1.2× 360 1.1× 251 1.1× 135 0.7× 96 1.2× 16 1.0k
Lakshmi Jayashankar 302 0.6× 345 1.0× 297 1.3× 164 0.9× 66 0.8× 21 778
Willemien C. van Dijk 324 0.7× 209 0.6× 152 0.7× 131 0.7× 34 0.4× 28 811
Gustaf Ahlén 343 0.7× 279 0.8× 247 1.1× 237 1.3× 64 0.8× 38 1.0k
Aaron Farnsworth 783 1.6× 301 0.9× 126 0.6× 259 1.4× 109 1.4× 29 950
J. K. Chantler 477 1.0× 171 0.5× 206 0.9× 191 1.0× 43 0.5× 36 905
Wivine Burny 287 0.6× 435 1.3× 265 1.2× 176 1.0× 94 1.2× 27 832
Tania Sadlon 289 0.6× 494 1.5× 228 1.0× 127 0.7× 50 0.6× 26 1.0k

Countries citing papers authored by Mary K. Wloch

Since Specialization
Citations

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

Fields of papers citing papers by Mary K. Wloch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mary K. Wloch

This figure shows the co-authorship network connecting the top 25 collaborators of Mary K. Wloch. A scholar is included among the top collaborators of Mary K. Wloch 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 Mary K. Wloch. Mary K. Wloch 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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