V. Nataf

2.1k citations
63 papers · 1.7k · h-index 21

Impact in

Papers in

V. Nataf

61 papers receiving 1.6k citations

Peers

V. Nataf
Comparison fields: 5 of 96
  • Cell Biology 248
  • Hepatology 102
  • Radiology, Nuclear Medicine and Imaging 290
  • Hematology 140
  • Cancer Research 165
Replace Paola Riva with:
Paola Riva Italy
Steven C. Ziesmer United States
Michael Ginsberg United States
Md Salman Rahman United States
Stefano Buttiglieri Italy
Elina Armstrong Finland
Miranda C. Marion United States
Jonathan Cheng United States
Katsutsugu Umeda Japan
Amit Chunilal Nathwani United Kingdom
V. Nataf relative to Paola Riva Italy Paola Riva's profile →
Citations per field
00.5×2×3.4×
Paola Riva · 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 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997328
2 2010151
3 199697
4 201393
5 200270
6 201656
7 200955
8 199850
9 199545
10 201345
11 202043
12 199341
13 201639
14 201237
15 201037
16 201834
17 199833
18 200729
19 199227
20 200024

About V. Nataf

V. Nataf is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Neurology, Cell Biology and Oncology, having authored 63 papers that have together received 1.7k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (10 papers), Prostate Cancer Treatment and Research (9 papers), Radiopharmaceutical Chemistry and Applications (9 papers), Prostate Cancer Diagnosis and Treatment (8 papers), Neuroendocrine Tumor Research Advances (8 papers), Neuroblastoma Research and Treatments (6 papers), Congenital heart defects research (4 papers) and Hepatocellular Carcinoma Treatment and Prognosis (3 papers). The work is most often cited by research in Cell Biology (248 citations), Hepatology (102 citations), Radiology, Nuclear Medicine and Imaging (290 citations), Hematology (140 citations) and Cancer Research (165 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, C. Corbel, Pierre Vaigot, Khaldoun Kerrou and Françoise Montravers. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, Nuclear Medicine Communications, Journal of Nuclear Medicine, Mechanisms of Development and Experimental Cell Research.

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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