Jane Apperley

1.6k citations
28 papers · 1.1k · h-index 14

Impact in

  • Hematology top 1%
    • Hematopoietic Stem Cell Transplantation
    • Chronic Myeloid Leukemia Treatments
    • Acute Myeloid Leukemia Research

Papers in

    • Chronic Myeloid Leukemia Treatments 11
    • Hematopoietic Stem Cell Transplantation 10
    • Acute Myeloid Leukemia Research 3
    • T-cell and B-cell Immunology 4

Jane Apperley

27 papers receiving 1.1k citations

Peers

Jane Apperley
Comparison fields: 5 of 87
  • Hematology 845
  • Transplantation 72
  • Genetics 256
  • Immunology 352
  • Rheumatology 132
Replace Jason Butler with:
Jason Butler Australia
Andrew Dagis United States
D Niederwieser Germany
Kris Doney United States
J Bruton United States
JF Apperley United Kingdom
P. B. Mcglave United States
Jean‐Pierre Jouet France
Sabine Fürst France
Yasunori Ueda Japan
Jane Apperley relative to Jason Butler Australia Jason Butler's profile →
Citations per field
00.5×4.4×
Jason Butler · 1×
Citations per year

Countries citing papers authored by Jane Apperley

Since Specialization
Citations

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

Fields of papers citing papers by Jane Apperley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016198
2 1999138
3 1995137
4 1997110
5 200196
6 201671
7 201567
8 200665
9 200148
10 202426
11 201626
12 200119
13 202016
14 200815
15 201312
16 201211
17 202210
18 20018
19 20076
20 20096

About Jane Apperley

Jane Apperley is a scholar working on Hematology, Immunology, Genetics, Public Health, Environmental and Occupational Health and Rheumatology, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (11 papers), Hematopoietic Stem Cell Transplantation (10 papers), Acute Lymphoblastic Leukemia research (7 papers), Chronic Lymphocytic Leukemia Research (6 papers), Eosinophilic Disorders and Syndromes (5 papers), T-cell and B-cell Immunology (4 papers), Renal Transplantation Outcomes and Treatments (4 papers) and Acute Myeloid Leukemia Research (3 papers). The work is most often cited by research in Hematology (845 citations), Transplantation (72 citations), Genetics (256 citations), Immunology (352 citations) and Rheumatology (132 citations). Jane Apperley has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Aloïs Gratwohl, J. Hermans, Jeff Szer, D Niederwieser, Ephraim J. Fuchs, Xiao‐Jun Huang, Yoshihisa Kodera, Andrea Bacigalupo, Dietger Niederwieser and Arnon Nagler. Their work appears in journals such as Biology of Blood and Marrow Transplantation, Blood, Journal of Clinical Oncology, Bone Marrow Transplantation and British Journal of Haematology.

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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