Sofia Battaglia

1.5k citations
7 papers · 830 · 1 hit paper · h-index 7

Impact in

Papers in

    • Single-cell and spatial transcriptomics 3
    • RNA Research and Splicing 3
    • RNA modifications and cancer 3
    • Epigenetics and DNA Methylation 2
    • RNA and protein synthesis mechanisms 2
    • Cancer-related gene regulation 1
    • Pluripotent Stem Cells Research 1

Sofia Battaglia

7 papers receiving 827 citations

Sofia Battaglia's Hit Papers

Single-Cell RNA-Seq Reveals AML Hierarchies Relevant to Disease Progression and Immunity 2019 · 613 citations
6130+2+4Years since publication200400600

Peers

Sofia Battaglia
Comparison fields: 5 of 62
  • Hematology 321
  • Cancer Research 209
  • Immunology 204
  • Molecular Biology 614
  • Genetics 58
Replace Julia A. Verga with:
Julia A. Verga United States
Jennifer Lombardi Story United States
Bin E. Li United States
Luyao Xu China
Matthew A. Lawlor United States
Marie Sigurd Hasemann Denmark
Deon B. Doxie United States
Yan Ren China
Gowri Vijayaraghavan United Kingdom
Kaat Durinck Belgium
Sofia Battaglia relative to Julia A. Verga United States Julia A. Verga's profile →
Citations per field
00.5×1.5×2.0×
Julia A. Verga · 1×
Citations per year

Countries citing papers authored by Sofia Battaglia

Since Specialization
Citations

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

Fields of papers citing papers by Sofia Battaglia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sofia Battaglia, 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 Sofia Battaglia Line = papers co-authored together Sofia Battaglia links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
Single-Cell RNA-Seq Reveals AML Hierarchies Relevant to Disease Progression and Immunity
Hit paper breakdown →
2019613
2 201786
3 201744
4 202236
5 201823
6 202018
7 202410

About Sofia Battaglia

Sofia Battaglia is a scholar working on Molecular Biology, Genetics, Oncology, Genetics and Immunology, having authored 7 papers that have together received 830 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (3 papers), RNA Research and Splicing (3 papers), RNA modifications and cancer (3 papers), Epigenetics and DNA Methylation (2 papers), RNA and protein synthesis mechanisms (2 papers), CAR-T cell therapy research (1 paper), Cancer-related gene regulation (1 paper) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Hematology (321 citations), Cancer Research (209 citations), Immunology (204 citations), Molecular Biology (614 citations) and Genetics (58 citations). Sofia Battaglia has collaborated with scholars based in United States, Sweden and Germany. Frequent co-authors include B Bernstein, Peter van Galen, Jennifer Lombardi Story, Olga Pozdnyakova, Jason Stephansky, Geraldine S. Pinkus, Ilene Galinsky, Timothy A. Graubert, Andrew A. Lane and Richard M. Stone. Their work appears in journals such as Molecular Cell, Nature Genetics, Cell, Nucleic Acids Research and eLife.

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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