Pauliina Rumm

14 total papers · 1.0k total citations
7 papers, 523 citations indexed

About

Pauliina Rumm is a scholar working on Infectious Diseases, Immunology and Molecular Biology. According to data from OpenAlex, Pauliina Rumm has authored 7 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Infectious Diseases, 3 papers in Immunology and 1 paper in Molecular Biology. Recurrent topics in Pauliina Rumm's work include SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 Clinical Research Studies (3 papers) and Immune Cell Function and Interaction (2 papers). Pauliina Rumm is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 Clinical Research Studies (3 papers) and Immune Cell Function and Interaction (2 papers). Pauliina Rumm collaborates with scholars based in Estonia, Finland and Denmark. Pauliina Rumm's co-authors include Pärt Peterson, Kai Kisand, Liis Haljasmägi, Liina Tserel, Epp Sepp, Paul Naaber, Anu Planken, Kadri Kangro, Regina Maruste and Mart Ustav and has published in prestigious journals such as Blood, PLoS ONE and Scientific Reports.

In The Last Decade

Pauliina Rumm

6 papers receiving 518 citations

Hit Papers

Dynamics of antibody resp... 2021 2026 2022 2024 2021 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Pauliina Rumm 441 92 91 71 62 7 523
Liis Haljasmägi 465 1.1× 95 1.0× 120 1.3× 72 1.0× 79 1.3× 13 595
Alejandra Barreto 414 0.9× 83 0.9× 85 0.9× 51 0.7× 111 1.8× 7 567
Justin DaSilva 507 1.1× 101 1.1× 57 0.6× 71 1.0× 120 1.9× 6 595
Kadri Kangro 376 0.9× 95 1.0× 156 1.7× 70 1.0× 75 1.2× 16 548
Sandra Hauka 403 0.9× 66 0.7× 39 0.4× 57 0.8× 60 1.0× 7 470
Anastasia Ritchie 357 0.8× 65 0.7× 54 0.6× 101 1.4× 137 2.2× 11 564
Ying Chang 439 1.0× 91 1.0× 72 0.8× 96 1.4× 105 1.7× 6 484
Martin Lier 533 1.2× 41 0.4× 66 0.7× 64 0.9× 134 2.2× 8 606
Samuel Rigby 510 1.2× 41 0.4× 58 0.6× 35 0.5× 50 0.8× 9 581
Jing Feng 424 1.0× 94 1.0× 63 0.7× 92 1.3× 107 1.7× 7 469

Countries citing papers authored by Pauliina Rumm

Since Specialization
Citations

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

Fields of papers citing papers by Pauliina Rumm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pauliina Rumm

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