Yiska Weisblum

55 total papers · 12.0k total citations
21 papers, 1.0k citations indexed

About

Yiska Weisblum is a scholar working on Epidemiology, Infectious Diseases and Immunology. According to data from OpenAlex, Yiska Weisblum has authored 21 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Epidemiology, 10 papers in Infectious Diseases and 7 papers in Immunology. Recurrent topics in Yiska Weisblum's work include Cytomegalovirus and herpesvirus research (10 papers), SARS-CoV-2 and COVID-19 Research (6 papers) and Herpesvirus Infections and Treatments (4 papers). Yiska Weisblum is often cited by papers focused on Cytomegalovirus and herpesvirus research (10 papers), SARS-CoV-2 and COVID-19 Research (6 papers) and Herpesvirus Infections and Treatments (4 papers). Yiska Weisblum collaborates with scholars based in Israel, United States and Germany. Yiska Weisblum's co-authors include Dana G. Wolf, Amos Panet, Paul D. Bieniasz, Théodora Hatziioannou, Daniel Poston, Ronit Haimov‐Kochman, Esther Oiknine‐Djian, Ofer Mandelboim, Fabian Schmidt and Christian Gaebler and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Yiska Weisblum

21 papers receiving 1.0k citations

Hit Papers

Mapping mutations to the ... 2021 2026 2022 2024 2021 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Yiska Weisblum 598 304 298 232 129 21 1.0k
Guillaume Goyette 359 0.6× 178 0.6× 583 2.0× 370 1.6× 110 0.9× 23 1.2k
Stephanie Fischinger 600 1.0× 155 0.5× 270 0.9× 107 0.5× 37 0.3× 39 1.1k
Marion F. Gruber 265 0.4× 257 0.8× 346 1.2× 195 0.8× 57 0.4× 37 897
James T. Earnest 888 1.5× 205 0.7× 206 0.7× 226 1.0× 254 2.0× 14 1.2k
Wenjing Wang 600 1.0× 270 0.9× 336 1.1× 223 1.0× 66 0.5× 32 1.1k
Xuancheng Lu 436 0.7× 209 0.7× 107 0.4× 147 0.6× 370 2.9× 29 823
Camila H. Coelho 776 1.3× 87 0.3× 332 1.1× 276 1.2× 179 1.4× 31 1.1k
Bi-Hung Peng 743 1.2× 209 0.7× 164 0.6× 170 0.7× 63 0.5× 20 1.1k
Stefanie A. Morosky 480 0.8× 323 1.1× 440 1.5× 304 1.3× 325 2.5× 16 1.1k
Adam D. Kenney 381 0.6× 254 0.8× 440 1.5× 324 1.4× 52 0.4× 32 933

Countries citing papers authored by Yiska Weisblum

Since Specialization
Citations

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

Fields of papers citing papers by Yiska Weisblum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yiska Weisblum

This figure shows the co-authorship network connecting the top 25 collaborators of Yiska Weisblum. A scholar is included among the top collaborators of Yiska Weisblum 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 Yiska Weisblum. Yiska Weisblum 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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