Stella Pearson

925 citations
27 papers · 708 · h-index 12

Impact in

    • Zebrafish Biomedical Research Applications
  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation

Papers in

    • Pluripotent Stem Cells Research 7
    • Epigenetics and DNA Methylation 7
    • Zebrafish Biomedical Research Applications 12

Stella Pearson

26 papers receiving 699 citations

Peers

Stella Pearson
Comparison fields: 5 of 67
  • Cell Biology 262
  • Hematology 130
  • Molecular Biology 470
  • Immunology 121
  • Genetics 59
Replace Michael Lie‐A‐Ling with:
Michael Lie‐A‐Ling United Kingdom
Deepak Kumar Jha United States
Sophie Amsellem France
Alexandros Strikoudis United States
Katie L. Kathrein United States
Ann Brun Sweden
Nabeel R. Yaseen United States
Christoph Hirche Germany
MC Heinrich United States
SJ Brandt United States
Stella Pearson relative to Michael Lie‐A‐Ling United Kingdom Michael Lie‐A‐Ling's profile →
Citations per field
00.5×1.5×2.2×
Michael Lie‐A‐Ling · 1×
Citations per year

Countries citing papers authored by Stella Pearson

Since Specialization
Citations

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

Fields of papers citing papers by Stella Pearson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008137
2 200385
3 200765
4 201265
5 200960
6 200944
7 201244
8 201539
9 202037
10 201028
11 201015
12 202113
13 201011
14 201710
15 20169
16 20198
17 20237
18 20197
19 20006
20 20156

About Stella Pearson

Stella Pearson is a scholar working on Molecular Biology, Cell Biology, Hematology, Immunology and Genetics, having authored 27 papers that have together received 708 indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (12 papers), Pluripotent Stem Cells Research (7 papers), Epigenetics and DNA Methylation (7 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers), Hematopoietic Stem Cell Transplantation (4 papers), IL-33, ST2, and ILC Pathways (3 papers), Acute Myeloid Leukemia Research (3 papers) and Chronic Myeloid Leukemia Treatments (3 papers). The work is most often cited by research in Cell Biology (262 citations), Hematology (130 citations), Molecular Biology (470 citations), Immunology (121 citations) and Genetics (59 citations). Stella Pearson has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Georges Lacaud, Valérie Kouskoff, Patrycja Sroczyńska, Arnaud Gandillet, Alicia G. Serrano, Christophe Lancrin, Anthony D. Whetton, Guilherme Costa, Michael Lie‐A‐Ling and Andrew J.K. Williamson. Their work appears in journals such as Blood, Oncotarget, PLoS ONE, Development and Mucosal Immunology.

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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