Paul Daniel

1.9k citations
34 papers · 1.3k · h-index 19

Impact in

  • Genetics top 2%
    • Glioma Diagnosis and Treatment
    • Estrogen and related hormone effects
    • MicroRNA in disease regulation

Papers in

    • Glioma Diagnosis and Treatment 11
    • Cancer Cells and Metastasis 3

Paul Daniel

30 papers receiving 1.3k citations

Peers

Paul Daniel
Comparison fields: 5 of 116
  • Genetics 362
  • Cancer Research 252
  • Radiology, Nuclear Medicine and Imaging 224
  • Reproductive Medicine 71
  • Oncology 218
Replace Alex H. Wagner with:
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Yufei He China
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Paul Daniel relative to Alex H. Wagner United States Alex H. Wagner's profile →
Citations per field
00.5×7.9×
Alex H. Wagner · 1×
Citations per year

Countries citing papers authored by Paul Daniel

Since Specialization
Citations

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

Fields of papers citing papers by Paul Daniel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019135
2 2019119
3 2017111
4 2017109
5 1998102
6 198188
7 201484
8 201583
9 201869
10 201053
11 201950
12 201842
13 200936
14 201932
15 201628
16 199825
17 201824
18 201823
19 202121
20 202214

About Paul Daniel

Paul Daniel is a scholar working on Genetics, Oncology, Cancer Research, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 34 papers that have together received 1.3k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (11 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Cancer Genomics and Diagnostics (3 papers), Cancer Cells and Metastasis (3 papers), Neuroblastoma Research and Treatments (2 papers), MicroRNA in disease regulation (2 papers), Redox biology and oxidative stress (2 papers) and Glutathione Transferases and Polymorphisms (1 paper). The work is most often cited by research in Genetics (362 citations), Cancer Research (252 citations), Radiology, Nuclear Medicine and Imaging (224 citations), Reproductive Medicine (71 citations) and Oncology (218 citations). Paul Daniel has collaborated with scholars based in Canada, Australia and United States. Frequent co-authors include Bassam Abdulkarim, Ahmad Chaddad, Siham Sabri, Theo Mantamadiotis, Bertrand J. Jean‐Claude, Gulay Filiz, Tamim Niazi, Janusz Rak, Brian Meehan and Daniel V. Brown. Their work appears in journals such as Neuro-Oncology, Frontiers in Oncology, Clinical Cancer Research, Children s Geographies and Genome biology.

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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