Anna Sanchez Calle

1.2k citations
15 papers · 909 indexed · 1 hit paper · h-index 12
Topics
Cancer Cells and Metastasis (10 papers)Pluripotent Stem Cells Research (5 papers)RNA modifications and cancer (3 papers)
Partner nations
JapanUnited StatesEgypt

In The Last Decade

Anna Sanchez Calle

15 papers receiving 898 citations

Hit Papers

Emerging roles of long non‐coding RNA in cancer20182026202020232018100200300400

Peers

Anna Sanchez Calle
Comparison fields: 5 of 73
  • Molecular Biology 712
  • Cancer Research 546
  • Oncology 282
  • Biomedical Engineering 81
  • Pulmonary and Respiratory Medicine 54
Replace Wenting Liao with:
Wenting Liao China
Miyako Kondoh Japan
Gemma Shay United States
Shuping Yin United States
Daisuke Takiuchi Japan
Melissa M. Wolf United States
Qian Fan China
Tony Bou Kheir United Kingdom
Sergey Karakashev United States
Anna Sanchez Calle relative to Wenting Liao China Wenting Liao's profile →
Citations per field
00.5×3.5×
Wenting Liao · 1×
Citations per year

Countries citing papers authored by Anna Sanchez Calle

Since Specialization
Citations

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

Fields of papers citing papers by Anna Sanchez Calle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Sanchez Calle

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Sanchez Calle. A scholar is included among the top collaborators of Anna Sanchez Calle based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Anna Sanchez Calle. Anna Sanchez Calle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 45
2 24
3 10
4 13
5 16
6 19
7 36
8 36
9 31
10
Emerging roles of long non‐coding RNA in cancerbreakdown →
452
11 4
12 140
13 3
14
A new PDAC mouse model originated from iPSCs-converted pancreatic cancer stem cells (CSCcm).
42
15
iPSC-derived cancer stem cells provide a model of tumor vasculature.
38

About Anna Sanchez Calle

Anna Sanchez Calle is a scholar working on Cancer Research, Oncology and Molecular Biology, having authored 15 papers that have together received 909 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (10 papers), Pluripotent Stem Cells Research (5 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Cancer Research (546 citations), Molecular Biology (712 citations) and Oncology (282 citations). Anna Sanchez Calle has collaborated with scholars based in Japan, United States and Egypt. Frequent co-authors include Takahiro Ochiya, Yusuke Yamamoto, Yumi Kawamura, Fumitaka Takeshita, Masaharu Seno, Akimasa Seno, Yoshiaki Iwasaki, Tomonari Kasai, Neha Nair and Maram H. Zahra. Their work appears in journals such as Cancer Research, Scientific Reports and International Journal of Molecular 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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