Bram Priem

20 total papers · 1.2k total citations
7 papers, 330 citations indexed

About

Bram Priem is a scholar working on Immunology, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Bram Priem has authored 7 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 3 papers in Biomedical Engineering and 2 papers in Molecular Biology. Recurrent topics in Bram Priem's work include Nanoplatforms for cancer theranostics (3 papers), Immune responses and vaccinations (2 papers) and COVID-19 Impact on Reproduction (2 papers). Bram Priem is often cited by papers focused on Nanoplatforms for cancer theranostics (3 papers), Immune responses and vaccinations (2 papers) and COVID-19 Impact on Reproduction (2 papers). Bram Priem collaborates with scholars based in Netherlands, United States and Germany. Bram Priem's co-authors include Willem J. M. Mulder, Róbert Langer, YongTae Kim, Zahi A. Fayad, Jun Tang, François Fay, Mireille Ouimet, Brenda L. Sánchez-Gaytán, Sarian M. van Rijs and Liangfang Zhang and has published in prestigious journals such as Nanoscale, Nature Reviews Materials and Cell Research.

In The Last Decade

Bram Priem

7 papers receiving 325 citations

Author Peers

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

Author Last Decade Papers Cites
Bram Priem 130 118 104 87 45 7 330
Griffin Pauli 114 0.9× 112 0.9× 135 1.3× 76 0.9× 21 0.5× 6 351
Tijia Chen 123 0.9× 141 1.2× 129 1.2× 44 0.5× 20 0.4× 9 340
Riley Allen 80 0.6× 63 0.5× 106 1.0× 161 1.9× 24 0.5× 11 331
Shin‐Yun Liu 82 0.6× 54 0.5× 149 1.4× 59 0.7× 31 0.7× 11 343
Jingwen Luo 115 0.9× 88 0.7× 105 1.0× 30 0.3× 21 0.5× 11 331
Zhenxiang Fu 253 1.9× 111 0.9× 68 0.7× 43 0.5× 93 2.1× 6 356
Shizuka Egusa 92 0.7× 121 1.0× 113 1.1× 46 0.5× 29 0.6× 9 330
Aiyan Hu 191 1.5× 108 0.9× 114 1.1× 74 0.9× 52 1.2× 10 358
Kaiqing Yun 169 1.3× 106 0.9× 81 0.8× 99 1.1× 56 1.2× 14 353
Wendy C. Sheu 178 1.4× 105 0.9× 132 1.3× 45 0.5× 80 1.8× 9 343

Countries citing papers authored by Bram Priem

Since Specialization
Citations

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

Fields of papers citing papers by Bram Priem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bram Priem

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