V. Nataf

2.1k citations
61 papers · 1.6k · h-index 21

Impact in

Papers in

V. Nataf

59 papers receiving 1.5k citations

Peers

V. Nataf
Comparison fields: 5 of 92
  • Cell Biology 246
  • Hepatology 101
  • Hematology 138
  • Radiology, Nuclear Medicine and Imaging 265
  • Cancer Research 160
Replace Gerald Horan with:
Gerald Horan United States
Steven C. Ziesmer United States
Mohamad Azhar United States
Scott M. Norberg United States
Stefano Buttiglieri Italy
Gerhard Raab United States
Elina Armstrong Finland
Giorgio Allemanni Italy
Marda Jorgensen United States
Michael Ginsberg United States
V. Nataf relative to Gerald Horan United States Gerald Horan's profile →
Citations per field
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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 1997333
2 2010152
3 199694
4 201390
5 200269
6 201654
7 200953
8 199849
9 199545
10 201343
11 199341
12 201640
13 201038
14 201234
15 201834
16 199832
17 200728
18 199227
19 200023
20 199022

About V. Nataf

V. Nataf is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Molecular Biology, Epidemiology and Surgery, having authored 61 papers that have together received 1.6k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (9 papers), Medical Imaging Techniques and Applications (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 melanin and skin pigmentation (3 papers). The work is most often cited by research in Cell Biology (246 citations), Hepatology (101 citations), Hematology (138 citations), Radiology, Nuclear Medicine and Imaging (265 citations) and Cancer Research (160 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, Pierre Vaigot, Christiane Bréant, C. Corbel, Soňa Balogová, Virginie Huchet, 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 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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