Daniel Klevebring

3.0k total citations · 1 hit paper
26 papers, 1.6k citations indexed

About

Daniel Klevebring is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Daniel Klevebring has authored 26 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 15 papers in Cancer Research and 5 papers in Genetics. Recurrent topics in Daniel Klevebring's work include Cancer Genomics and Diagnostics (12 papers), Gene expression and cancer classification (5 papers) and Molecular Biology Techniques and Applications (4 papers). Daniel Klevebring is often cited by papers focused on Cancer Genomics and Diagnostics (12 papers), Gene expression and cancer classification (5 papers) and Molecular Biology Techniques and Applications (4 papers). Daniel Klevebring collaborates with scholars based in Sweden, United States and Norway. Daniel Klevebring's co-authors include Joakim Lundeberg, Johan Lindberg, Henrik Grönberg, Mattias Rantalainen, Mathias Uhlén, Emma Lundberg, Linn Fagerberg, Cajsa Älgenäs, Ivan Matić and Jüergen Cox and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and PLoS ONE.

In The Last Decade

Daniel Klevebring

26 papers receiving 1.6k citations

Hit Papers

align trajectories

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.

Reprogramming Tumor-Associated Macrophages by Antibody Targeting Inhibits Cancer Progression and Metastasis

2016 441 citations Anna‐Maria Georgoudaki, Vanessa F. Boura et al. Cell Reports profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Klevebring Sweden	17	813	442	394	351	260	26	1.6k
Yong Wan United States	26	1.6k 2.0×	323 0.7×	365 0.9×	621 1.8×	159 0.6×	45	2.2k
Peter C. Hollenhorst United States	21	1.9k 2.3×	384 0.9×	249 0.6×	353 1.0×	533 2.0×	36	2.3k
Graham Steers United Kingdom	17	1.0k 1.3×	481 1.1×	190 0.5×	348 1.0×	126 0.5×	24	1.6k
Steffen Rickelt United States	21	675 0.8×	200 0.5×	412 1.0×	780 2.2×	138 0.5×	47	1.7k
Joshua J. Gruber United States	20	1.6k 2.0×	1.0k 2.3×	253 0.6×	367 1.0×	156 0.6×	33	2.3k
Chitose Oneyama Japan	29	1.6k 2.0×	493 1.1×	226 0.6×	327 0.9×	110 0.4×	61	2.1k
Larisa Litovchick United States	24	1.4k 1.7×	245 0.6×	119 0.3×	669 1.9×	128 0.5×	54	1.8k
Josef Gotzmann Austria	27	2.4k 2.9×	224 0.5×	155 0.4×	521 1.5×	123 0.5×	34	2.8k
Arja ter Elst Netherlands	21	1.1k 1.3×	445 1.0×	146 0.4×	495 1.4×	309 1.2×	61	1.8k
Sagar Chhangawala United States	14	876 1.1×	381 0.9×	710 1.8×	338 1.0×	233 0.9×	21	1.8k

Countries citing papers authored by Daniel Klevebring

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Klevebring

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Klevebring

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

All Works

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20 of 20 papers shown

Mer, Arvind Singh, Johan Lindberg, Christer Nilsson, et al.. (2018). Expression levels of long non-coding RNAs are prognostic for AML outcome. Journal of Hematology & Oncology. 11(1). 52–52. 41 indexed citations

Lindberg, Johan, Daniel Klevebring, Christer Nilsson, et al.. (2017). Validation of risk stratification models in acute myeloid leukemia using sequencing-based molecular profiling. Leukemia. 31(10). 2029–2036. 46 indexed citations

Li, Jingmei, Emma Ivansson, Daniel Klevebring, et al.. (2016). Molecular Differences between Screen-Detected and Interval Breast Cancers Are Largely Explained by PAM50 Subtypes. Clinical Cancer Research. 23(10). 2584–2592. 15 indexed citations

Mer, Arvind Singh, Daniel Klevebring, Henrik Grönberg, & Mattias Rantalainen. (2016). Study design requirements for RNA sequencing-based breast cancer diagnostics. Scientific Reports. 6(1). 20200–20200. 1 indexed citations

Wang, Mei, Daniel Klevebring, Johan Lindberg, et al.. (2016). Determining breast cancer histological grade from RNA-sequencing data. Breast Cancer Research. 18(1). 48–48. 30 indexed citations

Whitington, Thomas, Ping Gao, Wei Song, et al.. (2016). Gene regulatory mechanisms underpinning prostate cancer susceptibility. Nature Genetics. 48(4). 387–397. 81 indexed citations

Georgoudaki, Anna‐Maria, Vanessa F. Boura, Eva Hellqvist, et al.. (2016). Reprogramming Tumor-Associated Macrophages by Antibody Targeting Inhibits Cancer Progression and Metastasis. Cell Reports. 15(9). 2000–2011. 441 indexed citations breakdown →

Klevebring, Daniel, et al.. (2015). Exome sequencing of contralateral breast cancer identifies metastatic disease. Breast Cancer Research and Treatment. 151(2). 319–324. 21 indexed citations

Klevebring, Daniel, Louise Eriksson, Fuat Celebioglu, et al.. (2014). Evaluation of Exome Sequencing to Estimate Tumor Burden in Plasma. PLoS ONE. 9(8). e104417–e104417. 23 indexed citations

10.

Grönberg, Henrik, et al.. (2012). Library Preparation and Multiplex Capture for Massive Parallel Sequencing Applications Made Efficient and Easy. PLoS ONE. 7(11). e48616–e48616. 28 indexed citations

11.

Lindberg, Johan, Daniel Klevebring, Wennuan Liu, et al.. (2012). Exome Sequencing of Prostate Cancer Supports the Hypothesis of Independent Tumour Origins. European Urology. 63(2). 347–353. 115 indexed citations

12.

Lindberg, Johan, Ian G. Mills, Daniel Klevebring, et al.. (2012). The Mitochondrial and Autosomal Mutation Landscapes of Prostate Cancer. European Urology. 63(4). 702–708. 85 indexed citations

13.

Sandberg, Maria, Mikael Hartman, Daniel Klevebring, et al.. (2012). Prognostic implications of estrogen receptor pattern of both tumors in contralateral breast cancer. Breast Cancer Research and Treatment. 134(2). 793–800. 13 indexed citations

14.

Uhlén, Mathias, Per Oksvold, Cajsa Älgenäs, et al.. (2011). Antibody-based Protein Profiling of the Human Chromosome 21. Molecular & Cellular Proteomics. 11(3). M111.013458–M111.013458. 18 indexed citations

15.

Klevebring, Daniel, Linn Fagerberg, Emma Lundberg, et al.. (2010). Analysis of transcript and protein overlap in a human osteosarcoma cell line. BMC Genomics. 11(1). 684–684. 12 indexed citations

16.

Lundin, Sverker, Henrik Stranneheim, Erik Pettersson, Daniel Klevebring, & Joakim Lundeberg. (2010). Increased Throughput by Parallelization of Library Preparation for Massive Sequencing. PLoS ONE. 5(4). e10029–e10029. 99 indexed citations

17.

Klevebring, Daniel, Magnus Bjursell, Olof Emanuelsson, & Joakim Lundeberg. (2010). In-Depth Transcriptome Analysis Reveals Novel TARs and Prevalent Antisense Transcription in Human Cell Lines. PLoS ONE. 5(3). e9762–e9762. 12 indexed citations

18.

Klevebring, Daniel, Nathaniel R. Street, Noah Fahlgren, et al.. (2009). Genome-wide profiling of Populus small RNAs. BMC Genomics. 10(1). 620–620. 85 indexed citations

19.

Klevebring, Daniel, et al.. (2009). Automation of cDNA Synthesis and Labelling Improves Reproducibility. BioMed Research International. 2009(1). 396808–396808. 12 indexed citations

20.

Rimini, Rebecca, Jochen M. Schwenk, Mårten Sundberg, et al.. (2009). Validation of serum protein profiles by a dual antibody array approach. Journal of Proteomics. 73(2). 252–266. 16 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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