John Frederick De Groot

2.0k citations
51 papers · 312 · h-index 10

Impact in

  • Genetics top 5%
    • Glioma Diagnosis and Treatment
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research

Papers in

    • Glioma Diagnosis and Treatment 36
    • Cancer Treatment and Pharmacology 7
    • Cancer Immunotherapy and Biomarkers 7

John Frederick De Groot

46 papers receiving 310 citations

Peers

John Frederick De Groot
Comparison fields: 5 of 41
  • Genetics 219
  • Oncology 157
  • Immunology 71
  • Cancer Research 48
  • Pulmonary and Respiratory Medicine 95
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Citations per field
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Citations per year

Countries citing papers authored by John Frederick De Groot

Since Specialization
Citations

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

Fields of papers citing papers by John Frederick De Groot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Frederick De Groot. 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 John Frederick De Groot. The network helps show where John Frederick De Groot may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201847
2 201631
3 202123
4 202219
5 201816
6 201415
7 202014
8 201412
9 202011
10 201711
11 20218
12 20178
13 20207
14 20186
15 20235
16 20185
17 20215
18 20185
19 20205
20 20244

About John Frederick De Groot

John Frederick De Groot is a scholar working on Genetics, Oncology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Cancer Research, having authored 51 papers that have together received 312 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (36 papers), Radiomics and Machine Learning in Medical Imaging (11 papers), Brain Metastases and Treatment (9 papers), Cancer, Hypoxia, and Metabolism (9 papers), Cancer Treatment and Pharmacology (7 papers), Cancer Immunotherapy and Biomarkers (7 papers), Cancer Genomics and Diagnostics (4 papers) and MRI in cancer diagnosis (4 papers). The work is most often cited by research in Genetics (219 citations), Oncology (157 citations), Immunology (71 citations), Cancer Research (48 citations) and Pulmonary and Respiratory Medicine (95 citations). John Frederick De Groot has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Patrick Y. Wen, Howard Colman, David A. Reardon, Katherine B. Peters, Timothy F. Cloughesy, Sarah Gaffey, Jennifer Clarke, Phioanh L. Nghiemphu, Justin T. Jordan and Barbara O’Brien. Their work appears in journals such as Journal of Clinical Oncology.

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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