Kim Bull

561 total citations
24 papers, 349 citations indexed

About

Kim Bull is a scholar working on Pediatrics, Perinatology and Child Health, Genetics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Kim Bull has authored 24 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Pediatrics, Perinatology and Child Health, 13 papers in Genetics and 7 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Kim Bull's work include Childhood Cancer Survivors' Quality of Life (14 papers), Glioma Diagnosis and Treatment (13 papers) and Cancer-related cognitive impairment studies (5 papers). Kim Bull is often cited by papers focused on Childhood Cancer Survivors' Quality of Life (14 papers), Glioma Diagnosis and Treatment (13 papers) and Cancer-related cognitive impairment studies (5 papers). Kim Bull collaborates with scholars based in United Kingdom, France and Germany. Kim Bull's co-authors include Colin Kennedy, Helen Spoudeas, Mathilde Chevignard, Ghasem Yadegarfar, Jean-Yves Desaules, Christopher J. Turner, Zlatko Papić, Jennifer Limond, Gabriele Calaminus and Christina Liossi and has published in prestigious journals such as Journal of Clinical Oncology, International Journal of Radiation Oncology*Biology*Physics and Journal of Neurology Neurosurgery & Psychiatry.

In The Last Decade

Kim Bull

23 papers receiving 349 citations

Peers

Kim Bull
Comparison fields: 5 of 59
  • Genetics 177
  • Pediatrics, Perinatology and Child Health 147
  • Pulmonary and Respiratory Medicine 72
  • Neurology 64
  • Atomic and Molecular Physics, and Optics 49
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Benjamin Kaufman United States
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Fabienne Dietrich Alber Switzerland
Jennifer I. Brown Canada
Wui Khean Chong United Kingdom
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Citations per field, relative to Kim Bull
Kim Bull · 1×
Citations per year, relative to Kim Bull
Kim Bull · 1×

Countries citing papers authored by Kim Bull

Since Specialization
Citations

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

Fields of papers citing papers by Kim Bull

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kim Bull

This figure shows the co-authorship network connecting the top 25 collaborators of Kim Bull. A scholar is included among the top collaborators of Kim Bull based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kim Bull. Kim Bull is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 2
3 4
4 50
5 16
6 2
7 1
8 4
9 10
10 0
11 13
12 1
13 1
14 15
15 22
16 44
17 51
18 5
19 56
20 20

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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