Daniel Edsgärd
Impact in
- Molecular Biology top 10%
- Single-cell and spatial transcriptomics
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Gene expression and cancer classification
- Renal and related cancers
- Biophysics top 5%
Papers in
-
- Single-cell and spatial transcriptomics 2
- CRISPR and Genetic Engineering 2
- Pluripotent Stem Cells Research 2
- Surgery 3
- Testicular diseases and treatments 3
- Co-authors
- Rickard Sandberg (3 shared papers)Björn Reinius (2 shared papers)Sarita Panula (2 shared papers)Fredrik Lanner (1 shared paper)Sophie Petropoulos (1 shared paper)Qiaolin Deng (1 shared paper)Simone Codeluppi (1 shared paper)Sten Linnarsson (1 shared paper)
- Journals
- Genes Chromosomes and Cancer (2 papers)Bioinformatics (2 papers)Clinical Cancer Research (1 paper)Frontiers in Endocrinology (1 paper)Scientific Reports (1 paper)
- Partner nations
- SwedenDenmarkUnited Kingdom
In The Last Decade
Daniel Edsgärd
14 papers receiving 1.4k citations
Daniel Edsgärd's Hit Papers
Peers
Comparison fields: 5 of 99
- Molecular Biology 1.1k
- Biophysics 79
- Cancer Research 187
- Reproductive Medicine 77
- Genetics 243
Countries citing papers authored by Daniel Edsgärd
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
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-authors
The 25 scholars most cited alongside Daniel Edsgärd, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Single-Cell RNA-Seq Reveals Lineage and X Chromosome Dynamics in Human Preimplantation Embryos Hit paper breakdown → | 2016 | 735 |
| 2 | 2018 | 205 | |
| 3 | 2009 | 141 | |
| 4 | 2010 | 137 | |
| 5 | 2010 | 67 | |
| 6 | 2013 | 40 | |
| 7 | 2016 | 34 | |
| 8 | 2015 | 20 | |
| 9 | 2016 | 17 | |
| 10 | 2016 | 13 | |
| 11 | 2013 | 10 | |
| 12 | 2011 | 9 | |
| 13 | 2016 | 9 | |
| 14 | 2013 | 7 |
About Daniel Edsgärd
Daniel Edsgärd is a scholar working on Molecular Biology, Surgery, Genetics, Oncology and Computational Theory and Mathematics, having authored 14 papers that have together received 1.4k indexed citations. Recurring topics across this work include Testicular diseases and treatments (3 papers), Single-cell and spatial transcriptomics (2 papers), Cutaneous Melanoma Detection and Management (2 papers), Computational Drug Discovery Methods (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers), CRISPR and Genetic Engineering (2 papers), Immunotherapy and Immune Responses (2 papers) and Pluripotent Stem Cells Research (2 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Biophysics (79 citations), Cancer Research (187 citations), Reproductive Medicine (77 citations) and Genetics (243 citations). Daniel Edsgärd has collaborated with scholars based in Sweden, Denmark and United Kingdom. Frequent co-authors include Rickard Sandberg, Björn Reinius, Sarita Panula, Fredrik Lanner, Sophie Petropoulos, Qiaolin Deng, Simone Codeluppi, Sten Linnarsson, Álvaro Plaza Reyes and Per Johnsson. Their work appears in journals such as Genes Chromosomes and Cancer, Bioinformatics, Clinical Cancer Research, Frontiers in Endocrinology and Scientific Reports.
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.