Jane Stevens

975 citations
12 papers · 621 · h-index 8

Impact in

  • Hematology top 2%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
  • Genetics top 10%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment
    • Blood disorders and treatments

Papers in

    • Acute Myeloid Leukemia Research 6
    • Multiple Myeloma Research and Treatments 3
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 3

Jane Stevens

12 papers receiving 602 citations

Peers

Jane Stevens
Comparison fields: 5 of 54
  • Hematology 373
  • Genetics 137
  • Internal Medicine 38
  • Public Health, Environmental and Occupational Health 137
  • Cancer Research 47
Replace A. Kabral with:
A. Kabral Australia
Florian Oyen Germany
Michael Salacz United States
KC Anderson United States
Chikako Ohwada Japan
G.H. Borgström Finland
JA Katzmann United States
Wendy Cuccuini France
Rolf Koehler Germany
Christina Hart Germany
Jane Stevens relative to A. Kabral Australia A. Kabral's profile →
Citations per field
00.5×10×20×34×
A. Kabral · 1×
Citations per year

Countries citing papers authored by Jane Stevens

Since Specialization
Citations

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

Fields of papers citing papers by Jane Stevens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2008169
2 2008146
3 199178
4 200877
5 199344
6 200243
7 200023
8 201117
9 20077
10 20177
11 20096
12 20104

About Jane Stevens

Jane Stevens is a scholar working on Hematology, Genetics, Molecular Biology, Oncology and Public Health, Environmental and Occupational Health, having authored 12 papers that have together received 621 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (6 papers), Multiple Myeloma Research and Treatments (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), Sarcoma Diagnosis and Treatment (1 paper), Epigenetics and DNA Methylation (1 paper), Acute Lymphoblastic Leukemia research (1 paper), Venous Thromboembolism Diagnosis and Management (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Hematology (373 citations), Genetics (137 citations), Internal Medicine (38 citations), Public Health, Environmental and Occupational Health (137 citations) and Cancer Research (47 citations). Jane Stevens has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Jude Fitzgibbon, Tim Lister, John A. Liu Yin, Gary Sinclair, Peter Johnson, Donna L. Forrest, Shannon Jackson, Michael J. Barnett, Clayton A. Smith and Carolyn Owen. Their work appears in journals such as British Journal of Haematology, Blood, Journal of Clinical Oncology, Molecular Diagnosis and The Lancet.

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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