Emma Dann

6.2k citations
12 papers · 1.0k indexed · 2 hit papers · h-index 7
Topics
Single-cell and spatial transcriptomics (7 papers)Cancer Genomics and Diagnostics (3 papers)T-cell and B-cell Immunology (2 papers)

In The Last Decade

Emma Dann

12 papers receiving 1.0k citations

Hit Papers

Cell2location maps fine-grained cell types in spatial tra...202120262022202420222021100200300400

Peers

Emma Dann
Comparison fields: 5 of 90
  • Molecular Biology 704
  • Immunology 298
  • Cancer Research 215
  • Pulmonary and Respiratory Medicine 143
  • Oncology 131
Replace Robin Browaeys with:
Robin Browaeys Belgium
Lindsay M. LaFave United States
Erjie Zhao China
Anna Arutyunyan United States
Artem Lomakin Germany
Christina Adler United States
Shila Ghazanfar Australia
Victoria Moignard United Kingdom
Michaela Asp Sweden
Wajid Jawaid United Kingdom
Emma Dann relative to Robin Browaeys Belgium Robin Browaeys's profile →
Citations per field
00.5×1.5×2.2×
Robin Browaeys · 1×
Citations per year

Countries citing papers authored by Emma Dann

Since Specialization
Citations

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

Fields of papers citing papers by Emma Dann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emma Dann

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 2
2 1
3 6
4 12
5 3
6 23
7 27
8
Cell2location maps fine-grained cell types in spatial transcriptomicsbreakdown →
494
9
Differential abundance testing on single-cell data using k-nearest neighbor graphsbreakdown →
307
10 132
11 1
12 2

About Emma Dann

Emma Dann is a scholar working on Biophysics, Cancer Research and Molecular Biology, having authored 12 papers that have together received 1.0k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (7 papers), Cancer Genomics and Diagnostics (3 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Biophysics (109 citations), Cancer Research (215 citations) and Immunology (298 citations). Emma Dann has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include Sarah A. Teichmann, John C. Marioni, Neil C. Henderson, Michael D. Morgan, Roser Vento‐Tormo, Tong Li, Elizabeth Tuck, Hamish W. King, Rasa Elmentaite and Moritz Gerstung. Their work appears in journals such as Nature, Journal of Clinical Investigation and Nature Communications.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026