Hakim Bouterfa

40 papers receiving 2.3k citations

Peers

Hakim Bouterfa
Comparison fields: 5 of 95
  • Neurology 709
  • Oncology 1.0k
  • Epidemiology 1.1k
  • Endocrinology, Diabetes and Metabolism 373
  • Radiology, Nuclear Medicine and Imaging 491
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Citations per year

Countries citing papers authored by Hakim Bouterfa

Since Specialization
Citations

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

Fields of papers citing papers by Hakim Bouterfa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hakim Bouterfa, 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 Hakim Bouterfa Line = papers co-authored together Hakim Bouterfa 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 2006234
2 2010225
3 2003177
4 2007158
5 2017129
6 1999126
7 2017112
8
Inhibition of Ras farnesylation by lovastatin leads to downregulation of proliferation and migration in primary cultured human glioblastoma cells.
2000112
9 2004102
10 2005102
11 200886
12 198881
13 199476
14 200073
15 201768
16
Evaluating the clinical effectiveness of 90Y-SMT 487 in patients with neuroendocrine tumors.
200353
17 199943
18 200442
19 199541
20
Potential role for retinoic acid receptor-gamma in the inhibition of breast cancer cells by selective retinoids and interferons.
199640

About Hakim Bouterfa

Hakim Bouterfa is a scholar working on Neurology, Oncology, Epidemiology, Immunology and Allergy and Biochemistry, having authored 40 papers that have together received 2.4k indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (18 papers), Lung Cancer Research Studies (12 papers), Neuroblastoma Research and Treatments (12 papers), Retinoids in leukemia and cellular processes (4 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Estrogen and related hormone effects (4 papers), Cell Adhesion Molecules Research (3 papers) and Genomics and Chromatin Dynamics (3 papers). The work is most often cited by research in Neurology (709 citations), Oncology (1.0k citations), Epidemiology (1.1k citations), Endocrinology, Diabetes and Metabolism (373 citations) and Radiology, Nuclear Medicine and Imaging (491 citations). Hakim Bouterfa has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include K. Roosen, Detlef Doenecke, François Jamar, Larry K. Kvols, Raffaella Barone, Roelf Valkema, Eric P. Krenning, Jens Kaufmann, Damian Wild and Melpomeni Fani. Their work appears in journals such as Journal of Nuclear Medicine, European Journal of Biochemistry, Neurosurgery, Journal of Neuro-Oncology and European Journal of Nuclear Medicine and Molecular Imaging.

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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