Jane Apperley

1.7k citations
32 papers · 1.4k · h-index 15

Impact in

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

Papers in

    • Chronic Myeloid Leukemia Treatments 13
    • Hematopoietic Stem Cell Transplantation 11
    • Acute Myeloid Leukemia Research 5
    • Chronic Lymphocytic Leukemia Research 7

Jane Apperley

32 papers receiving 1.3k citations

Peers

Jane Apperley
Comparison fields: 5 of 81
  • Hematology 935
  • Transplantation 74
  • Genetics 263
  • Immunology 368
  • Rheumatology 155
Replace Mei Jie Zhang with:
Mei Jie Zhang United States
J. P. Jouet France
Muthalagu Ramanathan United States
Alessandra A. Sperotto Italy
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Arjun Law Canada
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Citations per field
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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 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016246
2 1995151
3 1999147
4 1997126
5 2001113
6 200681
7 201679
8 201577
9 200153
10 202241
11 202437
12 201630
13 201130
14 200823
15 200120
16 201215
17 202214
18 201313
19 20099
20 20018

About Jane Apperley

Jane Apperley is a scholar working on Hematology, Genetics, Immunology, Rheumatology and Transplantation, having authored 32 papers that have together received 1.4k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (13 papers), Hematopoietic Stem Cell Transplantation (11 papers), Chronic Lymphocytic Leukemia Research (7 papers), Eosinophilic Disorders and Syndromes (6 papers), Acute Lymphoblastic Leukemia research (6 papers), Acute Myeloid Leukemia Research (5 papers), T-cell and B-cell Immunology (4 papers) and Renal Transplantation Outcomes and Treatments (3 papers). The work is most often cited by research in Hematology (935 citations), Transplantation (74 citations), Genetics (263 citations), Immunology (368 citations) and Rheumatology (155 citations). Jane Apperley has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Alois A. Gratwohl, J. Hermans, Yoshihisa Kodera, Andrea Paolo Bacigalupo, Xiao‐Jun Huang, Dietger W. Niederwieser, Ephraim Joseph Fuchs, Jeff Szer, Arnon Nagler and Giuseppe Bandini. Their work appears in journals such as Blood, Transplantation and Cellular Therapy, Bone Marrow Transplantation, British Journal of Haematology and American Journal of Hematology.

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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