Daniel Edsgärd

2.8k total citations · 1 hit paper
14 papers, 1.4k citations indexed

About

Daniel Edsgärd is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Daniel Edsgärd has authored 14 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Surgery and 3 papers in Genetics. Recurrent topics in Daniel Edsgärd's work include Testicular diseases and treatments (3 papers), Pluripotent Stem Cells Research (2 papers) and Single-cell and spatial transcriptomics (2 papers). Daniel Edsgärd is often cited by papers focused on Testicular diseases and treatments (3 papers), Pluripotent Stem Cells Research (2 papers) and Single-cell and spatial transcriptomics (2 papers). Daniel Edsgärd collaborates with scholars based in Sweden, Denmark and United Kingdom. Daniel Edsgärd's co-authors include Rickard Sandberg, Björn Reinius, Sarita Panula, Fredrik Lanner, Sophie Petropoulos, Qiaolin Deng, Álvaro Plaza Reyes, Sten Linnarsson, Simone Codeluppi and Per Johnsson and has published in prestigious journals such as Cell, Nucleic Acids Research and Bioinformatics.

In The Last Decade

Daniel Edsgärd

14 papers receiving 1.4k 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.

Single-Cell RNA-Seq Reveals Lineage and X Chromosome Dynamics in Human Preimplantation Embryos

2016 735 citations Sophie Petropoulos, Daniel Edsgärd et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Edsgärd Sweden	11	1.1k	243	187	161	134	14	1.4k
Samantha Kuan United States	8	2.4k 2.2×	481 2.0×	323 1.7×	244 1.5×	44 0.3×	8	2.6k
Rahul Karnik United States	14	1.6k 1.4×	294 1.2×	259 1.4×	83 0.5×	59 0.4×	25	1.8k
Hana Mlčochová United Kingdom	11	803 0.7×	307 1.3×	291 1.6×	66 0.4×	88 0.7×	13	1.2k
Jina Yun United States	11	1.9k 1.7×	232 1.0×	286 1.5×	88 0.5×	60 0.4×	13	2.3k
Anna Hupalowska United Kingdom	16	1.1k 1.0×	139 0.6×	163 0.9×	19 0.1×	95 0.7×	19	1.5k
Geoffrey J. Maher United Kingdom	14	801 0.7×	326 1.3×	125 0.7×	39 0.2×	87 0.6×	26	1.2k
Biola M. Javierre Spain	22	1.3k 1.1×	204 0.8×	158 0.8×	208 1.3×	74 0.6×	32	1.6k
Liviu Malureanu United States	18	1.9k 1.7×	219 0.9×	214 1.1×	185 1.1×	50 0.4×	21	2.3k
Oliver Mortusewicz Sweden	23	1.8k 1.6×	176 0.7×	190 1.0×	142 0.9×	22 0.2×	32	2.1k
Michael J. McKay Australia	18	1.3k 1.2×	230 0.9×	213 1.1×	284 1.8×	30 0.2×	26	1.6k

Countries citing papers authored by Daniel Edsgärd

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Edsgärd

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Edsgärd

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

All Works

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14 of 14 papers shown

Edsgärd, Daniel, Per Johnsson, & Rickard Sandberg. (2018). Identification of spatial expression trends in single-cell gene expression data. Nature Methods. 15(5). 339–342. 205 indexed citations

Petropoulos, Sophie, Daniel Edsgärd, Björn Reinius, et al.. (2016). Single-Cell RNA-Seq Reveals Lineage and X Chromosome Dynamics in Human Preimplantation Embryos. Cell. 165(4). 1012–1026. 735 indexed citations breakdown →

Edsgärd, Daniel, María Jesús Iglesias, Anders Hamsten, et al.. (2016). GeneiASE: Detection of condition-dependent and static allele-specific expression from RNA-seq data without haplotype information. Scientific Reports. 6(1). 21134–21134. 34 indexed citations

Panula, Sarita, Ahmed Reda, Jan‐Bernd Stukenborg, et al.. (2016). Over Expression of NANOS3 and DAZL in Human Embryonic Stem Cells. PLoS ONE. 11(10). e0165268–e0165268. 17 indexed citations

Tuominen, Rainer, Pär G. Engström, Hildur Helgadóttir, et al.. (2016). The role of germline alterations in the DNA damage response genes BRIP1 and BRCA2 in melanoma susceptibility. Genes Chromosomes and Cancer. 55(7). 601–611. 13 indexed citations

Edsgärd, Daniel, Björn Reinius, & Rickard Sandberg. (2016). scphaser: haplotype inference using single-cell RNA-seq data. Bioinformatics. 32(19). 3038–3040. 9 indexed citations

Gréen, Henrik, Ilya Kupershmidt, Daniel Edsgärd, et al.. (2015). Using Whole-Exome Sequencing to Identify Genetic Markers for Carboplatin and Gemcitabine-Induced Toxicities. Clinical Cancer Research. 22(2). 366–373. 20 indexed citations

Höiom, Veronica, Daniel Edsgärd, Hildur Helgadóttir, et al.. (2013). Hereditary uveal melanoma: A report of a germline mutation in BAP1. Genes Chromosomes and Cancer. 52(4). 378–384. 40 indexed citations

Edsgärd, Daniel, Marlene Dalgaard, Nils Weinhold, et al.. (2013). Genome-Wide Assessment of the Association of Rare and Common Copy Number Variations to Testicular Germ Cell Cancer. Frontiers in Endocrinology. 4. 2–2. 10 indexed citations

10.

Taboureau, Olivier, et al.. (2013). HExpoChem: a systems biology resource to explore human exposure to chemicals. Bioinformatics. 29(9). 1231–1232. 7 indexed citations

11.

Edsgärd, Daniel, Niclas Tue Hansen, Ulrik Ralfkiær, et al.. (2011). Heterozygous deletion at the RLN1 locus in a family with testicular germ cell cancer identified by integrating copy number variation data with phenome and interactome information. International Journal of Andrology. 34(4pt2). e122–32. 9 indexed citations

12.

Taboureau, Olivier, S. K. Nielsen, Karine Audouze, et al.. (2010). ChemProt: a disease chemical biology database. Nucleic Acids Research. 39(Database). D367–D372. 67 indexed citations

13.

Rodriguez, María Cecilia, Daniel Edsgärd, Syed Sarfraz Hussain, et al.. (2010). Transcriptomes of the desiccation‐tolerant resurrection plant Craterostigma plantagineum. The Plant Journal. 63(2). 212–228. 137 indexed citations

14.

Sonne, Si Brask, Kristian Almstrup, Marlene Dalgaard, et al.. (2009). Analysis of Gene Expression Profiles of Microdissected Cell Populations Indicates that Testicular Carcinoma In situ Is an Arrested Gonocyte. Cancer Research. 69(12). 5241–5250. 141 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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