Thijs J. Beldman

20 total papers · 851 total citations
8 papers, 320 citations indexed

About

Thijs J. Beldman is a scholar working on Immunology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Thijs J. Beldman has authored 8 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 4 papers in Molecular Biology and 1 paper in Infectious Diseases. Recurrent topics in Thijs J. Beldman's work include RNA Interference and Gene Delivery (2 papers), Atherosclerosis and Cardiovascular Diseases (2 papers) and Angiogenesis and VEGF in Cancer (1 paper). Thijs J. Beldman is often cited by papers focused on RNA Interference and Gene Delivery (2 papers), Atherosclerosis and Cardiovascular Diseases (2 papers) and Angiogenesis and VEGF in Cancer (1 paper). Thijs J. Beldman collaborates with scholars based in Netherlands, United States and Germany. Thijs J. Beldman's co-authors include Willem J. M. Mulder, David P. Schrijver, Anne de Dreu, Mihai G. Netea, Bram Priem, Mandy M. T. van Leent, Leo A. B. Joosten, Maarten Merkx, Francesca Grisoni and Tom F. A. de Greef and has published in prestigious journals such as Journal of Biological Chemistry, ACS Nano and Nature Reviews Materials.

In The Last Decade

Thijs J. Beldman

8 papers receiving 319 citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

Author Peers

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

Author						Papers	Cites
Thijs J. Beldman	151	119	73	51	46	8	320
Riley Allen	161 1.1×	106 0.9×	80 1.1×	36 0.7×	63 1.4×	11	331
Qi Huang	99 0.7×	124 1.0×	65 0.9×	38 0.7×	46 1.0×	8	306
Yohana C. Toner	122 0.8×	98 0.8×	68 0.9×	114 2.2×	64 1.4×	7	328
Aaron Dolor	116 0.8×	113 0.9×	109 1.5×	77 1.5×	53 1.2×	7	344
Meixi Hao	138 0.9×	125 1.1×	115 1.6×	101 2.0×	51 1.1×	15	351
Qiangwei Liang	91 0.6×	105 0.9×	115 1.6×	70 1.4×	61 1.3×	11	315
David P. Schrijver	108 0.7×	114 1.0×	52 0.7×	50 1.0×	27 0.6×	6	264
Stephanie Gaglione	108 0.7×	126 1.1×	64 0.9×	52 1.0×	53 1.2×	9	279
Mengwen Huang	108 0.7×	142 1.2×	85 1.2×	67 1.3×	43 0.9×	14	305
Anne Showalter	121 0.8×	141 1.2×	95 1.3×	119 2.3×	19 0.4×	6	348

Countries citing papers authored by Thijs J. Beldman

Since Specialization

Citations

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

Fields of papers citing papers by Thijs J. Beldman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thijs J. Beldman. 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 Thijs J. Beldman. The network helps show where Thijs J. Beldman may publish in the future.

Co-authorship network of co-authors of Thijs J. Beldman

This figure shows the co-authorship network connecting the top 25 collaborators of Thijs J. Beldman. A scholar is included among the top collaborators of Thijs J. Beldman 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 Thijs J. Beldman. Thijs J. Beldman 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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