Jette Ford

40 papers receiving 882 citations

Peers

Jette Ford
Comparison fields: 5 of 69
  • Hematology 248
  • Genetics 125
  • Public Health, Environmental and Occupational Health 323
  • Cancer Research 155
  • Immunology 167
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Arianne Pérez-García United States
Sandra Heesch Germany
Lars Klemm United States
David S. Chervinsky United States
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Justine E. Roderick United States
Ludovic Lhermitte France
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Citations per field
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Citations per year

Countries citing papers authored by Jette Ford

Since Specialization
Citations

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

Fields of papers citing papers by Jette Ford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200798
2 200681
3 200958
4 200548
5
Limiting-dilution analysis of T cells extracted from solid human lung tissue: comparison of precursor frequencies for proliferative responses and lymphokine production between lung and blood T cells from individual donors.
198843
6
Development of resistance to 1-beta-D-arabinofuranosylcytosine after high-dose treatment in childhood lymphoblastic leukemia: analysis of resistance mechanism in established cell lines.
198941
7 198740
8 201132
9 200729
10 201829
11 200729
12 200727
13
Gene expression profiles in a panel of childhood leukemia cell lines mirror critical features of the disease.
200327
14 200626
15 198926
16 200722
17 199421
18 200821
19 201618
20 200417

About Jette Ford

Jette Ford is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Hematology, Genetics and Immunology, having authored 40 papers that have together received 896 indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (17 papers), Acute Myeloid Leukemia Research (8 papers), Neuroblastoma Research and Treatments (6 papers), Chronic Lymphocytic Leukemia Research (4 papers), Epigenetics and DNA Methylation (4 papers), Chronic Myeloid Leukemia Treatments (4 papers), Childhood Cancer Survivors' Quality of Life (4 papers) and Glioma Diagnosis and Treatment (4 papers). The work is most often cited by research in Hematology (248 citations), Genetics (125 citations), Public Health, Environmental and Occupational Health (323 citations), Cancer Research (155 citations) and Immunology (167 citations). Jette Ford has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Ursula R. Kees, Martin J. Firth, Alex H. Beesley, Joseph R. Freitas, Nicholas de Klerk, Glenn M. Marshall, Katrin Hoffmann, Kanchana U. Perera, Petra Bachmann and Rachael A. Papa. Their work appears in journals such as Leukemia Research, British Journal of Haematology, Genes Chromosomes and Cancer, Leukemia and British Journal of Cancer.

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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