Jane Estell

2.3k citations
16 papers · 210 · h-index 7

Impact in

  • Hematology top 5%
    • Multiple Myeloma Research and Treatments
    • Peptidase Inhibition and Analysis
    • CAR-T cell therapy research
    • Cancer Treatment and Pharmacology

Papers in

    • Multiple Myeloma Research and Treatments 9
    • CAR-T cell therapy research 3

Jane Estell

16 papers receiving 203 citations

Peers

Jane Estell
Comparison fields: 5 of 35
  • Hematology 171
  • Oncology 120
  • Genetics 27
  • Molecular Biology 130
  • Physiology 7
Replace Pia Sondergeld with:
Pia Sondergeld Germany
Wolney Barreto Brazil
Francesca Bonello Italy
Daniel Morillo Spain
Robin Carson United States
Katarina Uttervall Sweden
Laura Moreno Spain
Britta Besemer Germany
Joan Bladé Spain
Sunil Gandhi United States
Jane Estell relative to Pia Sondergeld Germany Pia Sondergeld's profile →
Citations per field
00.5×6.7×
Pia Sondergeld · 1×
Citations per year

Countries citing papers authored by Jane Estell

Since Specialization
Citations

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

Fields of papers citing papers by Jane Estell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201993
2 201628
3 201926
4 202316
5 202110
6 20188
7 20108
8 20166
9 20165
10 20214
11 20211
12 20081
13 20221
14 20141
15 20081
16 20201

About Jane Estell

Jane Estell is a scholar working on Hematology, Oncology, Radiology, Nuclear Medicine and Imaging, Organic Chemistry and Molecular Biology, having authored 16 papers that have together received 210 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (9 papers), CAR-T cell therapy research (3 papers), Protein Degradation and Inhibitors (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Synthesis and Biological Evaluation (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Ovarian cancer diagnosis and treatment (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Hematology (171 citations), Oncology (120 citations), Genetics (27 citations), Molecular Biology (130 citations) and Physiology (7 citations). Jane Estell has collaborated with scholars based in Australia, United States and Belgium. Frequent co-authors include Ajay K. Nooka, Paolo Corradini, Wolney Barreto, Eva Medvedova, Xiang Qin, María‐Victoria Mateos, Jordan M. Schecter, Himal Amin, Andrew Spencer and Katja Weisel. Their work appears in journals such as Blood, Journal of Clinical Oncology, British Journal of Haematology, American Journal of Hematology and Haematologica.

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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