Anna Pellat

1.3k citations
63 papers · 621 · h-index 15

Impact in

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

Papers in

Anna Pellat

56 papers receiving 617 citations

Peers

Anna Pellat
Comparison fields: 5 of 63
  • Oncology 274
  • Health Informatics 12
  • Hepatology 46
  • Pathology and Forensic Medicine 92
  • Gastroenterology 28
Replace Dongbing Zhao with:
Dongbing Zhao China
Yoshinori Hirashima Japan
Nuriye Özdemir Türkiye
Ayumu Hosokawa Japan
Katherine Yao United States
Venessa Tsang Australia
Atsushi Oba Japan
Beate Haugk United Kingdom
Jennifer R. Eads United States
Yufan Cheng China
Anna Pellat relative to Dongbing Zhao China Dongbing Zhao's profile →
Citations per field
00.5×2.7×
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 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201753
2 201750
3 201841
4 202040
5 202233
6 202228
7 202027
8 202124
9 201821
10 202321
11 202118
12 201818
13 202217
14 201815
15 202315
16 202214
17 201914
18 202113
19 202312
20 202111

About Anna Pellat

Anna Pellat is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Epidemiology, Surgery and Pathology and Forensic Medicine, having authored 63 papers that have together received 621 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (12 papers), Neuroendocrine Tumor Research Advances (10 papers), Gastric Cancer Management and Outcomes (9 papers), Colorectal Cancer Treatments and Studies (7 papers), Neuroblastoma Research and Treatments (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Lung Cancer Research Studies (6 papers) and Genetic factors in colorectal cancer (6 papers). The work is most often cited by research in Oncology (274 citations), Health Informatics (12 citations), Hepatology (46 citations), Pathology and Forensic Medicine (92 citations) and Gastroenterology (28 citations). Anna Pellat has collaborated with scholars based in France, Belgium and United States. Frequent co-authors include Romain Coriat, Thierry André, Philippe Soyer, Javier Vaquero, Laura Fouassier, Romain Cohen, Anthony Dohan, Maxime Barat, Magali Svrcek and Chantal Dreyer. Their work appears in journals such as Cancers, Annals of Oncology, Journal of Clinical Oncology, Journal of Clinical Medicine 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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