V. Nataf

2.1k citations
61 papers · 1.5k · h-index 21

Impact in

Papers in

V. Nataf

59 papers receiving 1.5k citations

Peers

V. Nataf
Comparison fields: 5 of 93
  • Cell Biology 247
  • Radiology, Nuclear Medicine and Imaging 336
  • Cancer Research 200
  • Hepatology 105
  • Hematology 145
Replace Andrew Sizeland with:
Andrew Sizeland Australia
Scott M. Norberg United States
Steven C. Ziesmer United States
N. J. Bradley United Kingdom
Gerhard Raab United States
Ritsuo Nishiuchi Japan
Ken‐ichi Iyama Japan
Giorgio Allemanni Italy
Salman Rahman United States
Elina Armstrong Finland
V. Nataf relative to Andrew Sizeland Australia Andrew Sizeland's profile →
Citations per field
00.5×2.8×
Andrew Sizeland · 1×
Citations per year

Countries citing papers authored by V. Nataf

Since Specialization
Citations

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

Fields of papers citing papers by V. Nataf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997306
2 2010142
3 199687
4 201386
5 200269
6 200951
7 201649
8 199847
9 201342
10 199542
11 199340
12 201038
13 201634
14 201233
15 201832
16 199030
17 199828
18 199225
19 200723
20 200022

About V. Nataf

V. Nataf is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Oncology, Epidemiology and Molecular Biology, having authored 61 papers that have together received 1.5k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (14 papers), Radiopharmaceutical Chemistry and Applications (14 papers), Prostate Cancer Treatment and Research (11 papers), Prostate Cancer Diagnosis and Treatment (11 papers), Neuroendocrine Tumor Research Advances (9 papers), Neuroblastoma Research and Treatments (8 papers), Cancer, Lipids, and Metabolism (4 papers) and Advanced X-ray and CT Imaging (4 papers). The work is most often cited by research in Cell Biology (247 citations), Radiology, Nuclear Medicine and Imaging (336 citations), Cancer Research (200 citations), Hepatology (105 citations) and Hematology (145 citations). V. Nataf has collaborated with scholars based in France, Slovakia and Monaco. Frequent co-authors include Nicole M. Le Douarin, Jean‐Noël Talbot, Anne Eichmann, Soňa Balogová, Virginie Huchet, Christiane Bréant, Pierre Vaigot, C. Corbel, Khaldoun Kerrou and Françoise Montravers. Their work appears in journals such as Nuclear Medicine Communications, European Journal of Nuclear Medicine and Molecular Imaging, Mechanisms of Development, Journal of Nuclear Medicine and Proceedings of the National Academy of Sciences.

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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