Anna Pellat

1.4k citations
73 papers · 937 · 1 hit paper · h-index 16

Impact in

  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • Colorectal Cancer Treatments and Studies
    • Pancreatic and Hepatic Oncology Research

Papers in

Anna Pellat

66 papers receiving 923 citations

Anna Pellat's Hit Papers

ESMO Guidance for Reporting Oncology real-World evidence (GROW) 2023 · 153 citations
1530+1+2Years since publication50100150

Peers

Anna Pellat
Comparison fields: 5 of 62
  • Health Informatics 37
  • Oncology 304
  • Hepatology 63
  • Cancer Research 61
  • Epidemiology 142
Replace Dongbing Zhao with:
Dongbing Zhao China
Jaihwan Kim South Korea
Antonio De Leo Italy
Hyo‐Joon Yang South Korea
Marin Strijker Netherlands
Hiroki Uchida Japan
Michael Linecker Switzerland
Teijiro Hirashita Japan
Xing Song China
Yada Kanjanapan Australia
Anna Pellat relative to Dongbing Zhao China Dongbing Zhao's profile →
Citations per field
00.5×2×3×4×4.5×
Dongbing Zhao · 1×
Citations per year

Countries citing papers authored by Anna Pellat

Since Specialization
Citations

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

Fields of papers citing papers by Anna Pellat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1
ESMO Guidance for Reporting Oncology real-World evidence (GROW)
Hit paper breakdown →
2023153
2 201759
3 201757
4 202051
5 201850
6 202239
7 202231
8 202028
9 202127
10 202326
11 201823
12 202222
13 202120
14 201819
15 201819
16 201918
17 202116
18 202116
19 202316
20 202316

About Anna Pellat

Anna Pellat is a scholar working on Oncology, Statistics, Probability and Uncertainty, Pulmonary and Respiratory Medicine, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 73 papers that have together received 937 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (12 papers), Neuroendocrine Tumor Research Advances (9 papers), Gastric Cancer Management and Outcomes (7 papers), Meta-analysis and systematic reviews (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Colorectal Cancer Treatments and Studies (5 papers), Clinical practice guidelines implementation (4 papers) and Pharmaceutical Economics and Policy (4 papers). The work is most often cited by research in Health Informatics (37 citations), Oncology (304 citations), Hepatology (63 citations), Cancer Research (61 citations) and Epidemiology (142 citations). Anna Pellat has collaborated with scholars based in France, Netherlands and United States. Frequent co-authors include Romain Coriat, Philippe A. Soyer, Thierry André, Magali Svrcek, Javier Vaquero, Laura Fouassier, Romain Cohen, Anthony J.J. Dohan, Maxime Barat and Catherine Brézault. Their work appears in journals such as Cancers, Annals of Oncology, Journal of Clinical Medicine, European Journal of Cancer and ESMO Open.

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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