Ino de Bruijn

42.9k total citations · 1 hit paper
20 papers, 2.5k citations indexed

About

Ino de Bruijn is a scholar working on Cancer Research, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Ino de Bruijn has authored 20 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cancer Research, 8 papers in Molecular Biology and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Ino de Bruijn's work include Cancer Genomics and Diagnostics (8 papers), Genomics and Phylogenetic Studies (5 papers) and Genetic factors in colorectal cancer (4 papers). Ino de Bruijn is often cited by papers focused on Cancer Genomics and Diagnostics (8 papers), Genomics and Phylogenetic Studies (5 papers) and Genetic factors in colorectal cancer (4 papers). Ino de Bruijn collaborates with scholars based in United States, Sweden and Switzerland. Ino de Bruijn's co-authors include Anders F. Andersson, Johannes Alneberg, Melanie Schirmer, Joshua Quick, Umer Zeeshan Ijaz, Nicholas J. Loman, Christopher Quince, Leo Lahti, Bas van Vlijmen and Paul Krimpenfort and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Ino de Bruijn

18 papers receiving 2.4k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Binning metagenomic contigs by coverage and composition

2014 1.6k citations Johannes Alneberg, Ino de Bruijn et al. Nature Methods profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ino de Bruijn United States	13	1.4k	976	332	238	229	20	2.5k
Qinghu Ren United States	22	1.5k 1.1×	739 0.8×	143 0.4×	149 0.6×	170 0.7×	36	2.6k
Nan Li China	27	958 0.7×	570 0.6×	201 0.6×	83 0.3×	209 0.9×	134	2.8k
Wolfgang Beisker Germany	22	1.5k 1.1×	940 1.0×	244 0.7×	362 1.5×	449 2.0×	52	2.9k
Susana Benlloch Spain	21	990 0.7×	945 1.0×	278 0.8×	154 0.6×	121 0.5×	30	2.0k
Chunming Dong China	30	2.1k 1.5×	688 0.7×	150 0.5×	432 1.8×	353 1.5×	120	3.8k
Wen-Ming Chen Taiwan	32	2.4k 1.8×	1.2k 1.3×	86 0.3×	134 0.6×	201 0.9×	323	4.4k
Huirong Li China	28	1.1k 0.8×	730 0.7×	231 0.7×	164 0.7×	86 0.4×	126	2.2k
Dongwan Kang United States	14	2.9k 2.1×	2.0k 2.1×	563 1.7×	145 0.6×	596 2.6×	18	4.7k
Jaejoon Jung South Korea	23	765 0.6×	412 0.4×	121 0.4×	103 0.4×	377 1.6×	79	1.8k
Shuang Li China	23	826 0.6×	277 0.3×	103 0.3×	249 1.0×	255 1.1×	112	2.5k

Countries citing papers authored by Ino de Bruijn

Since Specialization

Citations

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

Fields of papers citing papers by Ino de Bruijn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ino de Bruijn. 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 Ino de Bruijn. The network helps show where Ino de Bruijn may publish in the future.

Co-authorship network of co-authors of Ino de Bruijn

This figure shows the co-authorship network connecting the top 25 collaborators of Ino de Bruijn. A scholar is included among the top collaborators of Ino de Bruijn 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 Ino de Bruijn. Ino de Bruijn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Manca, Paolo, Chin‐Tung Chen, Christina Y. Lee, et al.. (2025). Ultrasensitive ctDNA monitoring for organ preservation in patients with locally advanced rectal cancer. npj Precision Oncology. 10(1). 8–8.

2.

Tran, Thinh Ngoc, Chris Fong, Karl Pichotta, et al.. (2025). AI cancer driver mutation predictions are valid in real-world data. Nature Communications. 16(1). 8509–8509.

3.

Bruijn, Ino de, Ritika Kundra, Ramyasree Madupuri, et al.. (2025). Tumor break load quantitates structural variant-associated genomic instability with biological and clinical relevance across cancers. npj Precision Oncology. 9(1). 140–140. 1 indexed citations

4.

Holmfeldt, Karin, Domenico Simone, Margarita López-Fernández, et al.. (2021). The Fennoscandian Shield deep terrestrial virosphere suggests slow motion ‘boom and burst’ cycles. Communications Biology. 4(1). 307–307. 19 indexed citations

5.

Schultheis, Anne M., Ino de Bruijn, Pier Selenica, et al.. (2021). Genomic characterization of small cell carcinomas of the uterine cervix. Molecular Oncology. 16(4). 833–845. 26 indexed citations

6.

Ramos, Marcel, Ludwig Geistlinger, Sehyun Oh, et al.. (2020). Multiomic Integration of Public Oncology Databases in Bioconductor. JCO Clinical Cancer Informatics. 4(4). 958–971. 49 indexed citations

7.

Wu, Pamela, Zachary Heins, James Muller, et al.. (2019). Integration and Analysis of CPTAC Proteomics Data in the Context of Cancer Genomics in the cBioPortal. Molecular & Cellular Proteomics. 18(9). 1893–1898. 121 indexed citations

8.

Herlemann, Daniel P. R., Stephanie Markert, Anders F. Andersson, et al.. (2019). Individual Physiological Adaptations Enable Selected Bacterial Taxa To Prevail during Long-Term Incubations. Applied and Environmental Microbiology. 85(15). 5 indexed citations

9.

Ng, Charlotte K.Y., François‐Clément Bidard, Salvatore Piscuoglio, et al.. (2017). Genetic Heterogeneity in Therapy-Naïve Synchronous Primary Breast Cancers and Their Metastases. Clinical Cancer Research. 23(15). 4402–4415. 83 indexed citations

10.

Piscuoglio, Salvatore, Charlotte K.Y. Ng, Felipe C. Geyer, et al.. (2017). Genomic and transcriptomic heterogeneity in metaplastic carcinomas of the breast. npj Breast Cancer. 3(1). 48–48. 53 indexed citations

11.

Razavi, Pedram, Bob T. Li, Wassim Abida, et al.. (2017). Performance of a high-intensity 508-gene circulating-tumor DNA (ctDNA) assay in patients with metastatic breast, lung, and prostate cancer.. Journal of Clinical Oncology. 35(15_suppl). LBA11516–LBA11516. 3 indexed citations

12.

Svartström, Olov, Johannes Alneberg, Nicolas Terrapon, et al.. (2017). Ninety-nine de novo assembled genomes from the moose (Alces alces) rumen microbiome provide new insights into microbial plant biomass degradation. The ISME Journal. 11(11). 2538–2551. 103 indexed citations

13.

Razavi, Pedram, Bob T. Li, Wassim Abida, et al.. (2017). Performance of a high-intensity 508-gene circulating-tumor DNA (ctDNA) assay in patients with metastatic breast, lung, and prostate cancer.. Journal of Clinical Oncology. 35(18_suppl). LBA11516–LBA11516. 6 indexed citations

14.

Razavi, Pedram, Bob T. Li, Chenlu Hou, et al.. (2017). Cell-free DNA (cfDNA) mutations from clonal hematopoiesis: Implications for interpretation of liquid biopsy tests.. Journal of Clinical Oncology. 35(15_suppl). 11526–11526. 20 indexed citations

15.

Bagnoud, Alexandre, Karuna Chourey, Robert L. Hettich, et al.. (2016). Reconstructing a hydrogen-driven microbial metabolic network in Opalinus Clay rock. Nature Communications. 7(1). 12770–12770. 85 indexed citations

16.

Bagnoud, Alexandre, Ino de Bruijn, Anders F. Andersson, et al.. (2015). A minimalistic microbial food web in an excavated deep subsurface clay rock. FEMS Microbiology Ecology. 92(1). fiv138–fiv138. 29 indexed citations

17.

Piscuoglio, Salvatore, Kathleen A. Burke, Charlotte K.Y. Ng, et al.. (2015). Uterine adenosarcomas are mesenchymal neoplasms. The Journal of Pathology. 238(3). 381–388. 82 indexed citations

18.

Alneberg, Johannes, Ino de Bruijn, Melanie Schirmer, et al.. (2014). Binning metagenomic contigs by coverage and composition. Nature Methods. 11(11). 1144–1146. 1590 indexed citations breakdown →

19.

Mendes, Rodrigo, M. Kruijt, Ino de Bruijn, et al.. (2013). Metagenomics of the rhizosphere microbiome to identify disease suppressive bacteria. Socio-Environmental Systems Modeling. 509–509. 1 indexed citations

20.

Maagdenberg, Arn M. J. M. van den, Marten H. Hofker, Paul Krimpenfort, et al.. (1993). Transgenic mice carrying the apolipoprotein E3-Leiden gene exhibit hyperlipoproteinemia. Journal of Biological Chemistry. 268(14). 10540–10545. 192 indexed citations

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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