Emma Samuelson

471 citations
17 papers · 353 · h-index 10

Impact in

Papers in

    • RNA Research and Splicing 3
    • Kruppel-like factors research 2
    • Cancer-related Molecular Pathways 3
    • Cancer Cells and Metastasis 2

Emma Samuelson

16 papers receiving 327 citations

Peers

Emma Samuelson
Comparison fields: 5 of 46
  • Dermatology 185
  • Pathology and Forensic Medicine 121
  • Immunology 117
  • Oncology 55
  • Epidemiology 66
Replace Yasuyuki Onimaru with:
Yasuyuki Onimaru Japan
Jordan E. Scott United States
Tim Wartewig Germany
Yoko Takiuchi Japan
Dvora Sahar Israel
Xi’an Fu China
Zsuzsanna Kurgyis Germany
EA Sausville United States
Genji Takeuchi Japan
Ivan Perrot France
Emma Samuelson relative to Yasuyuki Onimaru Japan Yasuyuki Onimaru's profile →
Citations per field
00.5×7.4×
Yasuyuki Onimaru · 1×
Citations per year

Countries citing papers authored by Emma Samuelson

Since Specialization
Citations

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

Fields of papers citing papers by Emma Samuelson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Emma Samuelson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Emma Samuelson Line = papers co-authored together Emma Samuelson links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 1995138
2 199666
3 201525
4 200618
5 200818
6 201116
7 200813
8 200811
9 200911
10 200810
11 20017
12 20026
13 20125
14 20055
15 20173
16 20081
17
Analyses of Rat Tumor Models for DMBA-induced Fibrosarcoma and Spontaneous Endometrial Carcinoma
20080

About Emma Samuelson

Emma Samuelson is a scholar working on Molecular Biology, Oncology, Genetics, Immunology and Cancer Research, having authored 17 papers that have together received 353 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (3 papers), RNA Research and Splicing (3 papers), Ovarian cancer diagnosis and treatment (2 papers), Kruppel-like factors research (2 papers), Cancer Cells and Metastasis (2 papers), Reproductive System and Pregnancy (2 papers), Genomic variations and chromosomal abnormalities (2 papers) and Endometrial and Cervical Cancer Treatments (2 papers). The work is most often cited by research in Dermatology (185 citations), Pathology and Forensic Medicine (121 citations), Immunology (117 citations), Oncology (55 citations) and Epidemiology (66 citations). Emma Samuelson has collaborated with scholars based in Sweden, Belgium and Vietnam. Frequent co-authors include Arti Hurria, Henry H. Roenigk, Steven T. Rosen, James J. Herrmann, Timothy M. Kuzel, Alfred Rademaker, Afrouz Behboudi, MS Tallman, Tatjana Adamović and Göran Levan. Their work appears in journals such as Cytogenetic and Genome Research, Advances in experimental medicine and biology, Vaccine, Blood and Genes Chromosomes and Cancer.

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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