Bram Priem

1.2k citations
7 papers · 333 · h-index 5

Impact in

  • Biomaterials top 10%
    • Nanoparticle-Based Drug Delivery
    • Atherosclerosis and Cardiovascular Diseases
    • Immunotherapy and Immune Responses

Papers in

    • Immune responses and vaccinations 2
    • Atherosclerosis and Cardiovascular Diseases 1
    • Phagocytosis and Immune Regulation 1
    • Nanoplatforms for cancer theranostics 3

Bram Priem

7 papers receiving 328 citations

Peers

Bram Priem
Comparison fields: 5 of 61
  • Biomaterials 120
  • Immunology 88
  • Biomedical Engineering 130
  • Pharmaceutical Science 18
  • Cancer Research 31
Replace Suchithra Poilil Surendran with:
Suchithra Poilil Surendran South Korea
Mengying Hou China
Christopher D. Sarsons Canada
Jaehong Key South Korea
Jiahui Yong China
Taotao Jin China
Jialin Lai China
Heping Qiu China
Qiangwei Liang China
Thijs J. Beldman Netherlands
Bram Priem relative to Suchithra Poilil Surendran South Korea Suchithra Poilil Surendran's profile →
Citations per field
00.5×
Suchithra Poilil Surendran · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Bram Priem, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bram Priem Line = papers co-authored together Bram Priem links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2015129
2 201386
3 202279
4 201521
5 201411
6 20214
7 20253

About Bram Priem

Bram Priem is a scholar working on Immunology, Biomedical Engineering, Molecular Biology, Biomaterials and Obstetrics and Gynecology, having authored 7 papers that have together received 333 indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), COVID-19 Impact on Reproduction (2 papers), Immune responses and vaccinations (2 papers), Nanoparticle-Based Drug Delivery (2 papers), Atherosclerosis and Cardiovascular Diseases (1 paper), Phagocytosis and Immune Regulation (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Biomaterials (120 citations), Immunology (88 citations), Biomedical Engineering (130 citations), Pharmaceutical Science (18 citations) and Cancer Research (31 citations). Bram Priem has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Willem J. M. Mulder, Róbert Langer, Zahi A. Fayad, YongTae Kim, Jun Tang, Brenda L. Sánchez-Gaytán, Mark E. Lobatto, Thijs J. Beldman, Mandy M. T. van Leent and Edward A. Fisher. Their work appears in journals such as Bioconjugate Chemistry, Expert Opinion on Drug Delivery, Cell Research, Nanoscale and Nature Reviews Materials.

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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