Isabelle Bartram

506 citations
13 papers · 266 · h-index 8

Impact in

Papers in

Isabelle Bartram

13 papers receiving 262 citations

Peers

Isabelle Bartram
Comparison fields: 5 of 70
  • Hematology 102
  • Public Health, Environmental and Occupational Health 104
  • Ecological Modeling 15
  • Cancer Research 35
  • Genetics 22
Replace J. Devon Roll with:
J. Devon Roll United States
Lisa French United Kingdom
Angus MacGregor United Kingdom
RB Jenkins United States
Karilyn Larkin United States
C. Matthews Australia
Ruth Carter United States
Vojtěch Bystrý Czechia
Michela Bardini Italy
Jonathan Mitchell Australia
Isabelle Bartram relative to J. Devon Roll United States J. Devon Roll's profile →
Citations per field
00.5×3.6×
J. Devon Roll · 1×
Citations per year

Countries citing papers authored by Isabelle Bartram

Since Specialization
Citations

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

Fields of papers citing papers by Isabelle Bartram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 201488
2 201346
3 201930
4 202021
5 201520
6 201420
7 201017
8 201911
9 20224
10 20233
11 20213
12
Genetic Racial Profiling: Extended DNA Analyses and Entangled Processes of Discrimination
20212
13 20221

About Isabelle Bartram

Isabelle Bartram is a scholar working on Public Health, Environmental and Occupational Health, Hematology, Genetics, Oncology and Pediatrics, Perinatology and Child Health, having authored 13 papers that have together received 266 indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (5 papers), Forensic and Genetic Research (3 papers), Chronic Myeloid Leukemia Treatments (3 papers), Race, Genetics, and Society (3 papers), Acute Myeloid Leukemia Research (2 papers), Childhood Cancer Survivors' Quality of Life (2 papers), Lymphoma Diagnosis and Treatment (1 paper) and Genetic Associations and Epidemiology (1 paper). The work is most often cited by research in Hematology (102 citations), Public Health, Environmental and Occupational Health (104 citations), Ecological Modeling (15 citations), Cancer Research (35 citations) and Genetics (22 citations). Isabelle Bartram has collaborated with scholars based in Germany, United States and Czechia. Frequent co-authors include Jonathan M. Jeschke, Cornelia Schlee, Martín Neumann, Claudia D. Baldus, Sandra Heesch, Dieter Hoelzer, Nicola Gökbuget, Stefan Schwartz, Sophie Lokatis and Klement Tockner. Their work appears in journals such as Science & Technology Studies, BioScience, Internet Policy Review, Oncotarget and Frontiers in Public Health.

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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