Lorna M. Secker‐Walker

3.2k citations
56 papers · 2.4k indexed · 1 hit paper · h-index 23

Lorna M. Secker‐Walker

56 papers receiving 2.4k citations

Hit Papers

Karyotype is an independent prognostic factor in adult ac...5022006202620122019100200300400500

Peers

Lorna M. Secker‐Walker
Comparison fields: 5 of 63
  • Hematology 1.8k
  • Public Health, Environmental and Occupational Health 1.7k
  • Genetics 394
  • Pediatrics, Perinatology and Child Health 326
  • Genetics 382
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SC Raimondi United States
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F G Behm United States
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Citations per field
00.5×3.9×
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Citations per year

Countries citing papers authored by Lorna M. Secker‐Walker

Since Specialization
Citations

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

Fields of papers citing papers by Lorna M. Secker‐Walker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lorna M. Secker‐Walker. 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 Lorna M. Secker‐Walker. The network helps show where Lorna M. Secker‐Walker may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Lorna M. Secker‐Walker, 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 Lorna M. Secker‐Walker Line = papers co-authored together Lorna M. Secker‐Walker links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Karyotype is an independent prognostic factor in adult acute lymphoblastic leukemia (ALL): analysis of cytogenetic data from patients treated on the Medical Research Council (MRC) UKALLXII/Eastern Cooperative Oncology Group (ECOG) 2993 trialbreakdown →
2006502
2 200160
3 20019
4 199819
5 199844
6 19986
7 199813
8 19958
9 19938
10 199237
11 199210
12 199110
13 19915
14 199034
15 19907
16 19893
17 198961
18 1989126
19 198717
20 1978157

About Lorna M. Secker‐Walker

Lorna M. Secker‐Walker is a scholar working on Hematology, Public Health, Environmental and Occupational Health and Genetics, having authored 56 papers that have together received 2.4k indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (37 papers), Acute Myeloid Leukemia Research (29 papers), Chronic Myeloid Leukemia Treatments (20 papers), Genomic variations and chromosomal abnormalities (14 papers), Chronic Lymphocytic Leukemia Research (12 papers), Cancer Genomics and Diagnostics (7 papers), Hematopoietic Stem Cell Transplantation (7 papers) and Immunodeficiency and Autoimmune Disorders (3 papers). The work is most often cited by research in Hematology (1.8k citations), Public Health, Environmental and Occupational Health (1.7k citations) and Genetics (394 citations). Lorna M. Secker‐Walker has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include R. M. Hardisty, Mary Martineau, Christine J. Harrison, SylviaD. Lawler, Anthony V. Moorman, Atul Mehta, Letizia Foroni, H. G. Prentice, Jill Durrant and G Harrison. Their work appears in journals such as British Journal of Haematology, Genes Chromosomes and Cancer, Leukemia Research, Cancer Genetics and Cytogenetics and Blood.

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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