Mairene Coto‐Llerena

1.9k citations
39 papers · 1.3k indexed · 2 hit papers · h-index 16

Mairene Coto‐Llerena

38 papers receiving 1.3k citations

Hit Papers

Arginine reprograms metabolism in liver cancer via R...1452021202620222024100200300

Peers

Mairene Coto‐Llerena
Comparison fields: 5 of 84
  • Hepatology 279
  • Cancer Research 436
  • Pulmonary and Respiratory Medicine 351
  • Oncology 243
  • Molecular Biology 608
Replace Karen Man‐Fong Sze with:
Karen Man‐Fong Sze Hong Kong
Yunlong Cui China
Arthur K. Ching Hong Kong
Johann von Felden Germany
Idrees Mian United States
Antonio Saviano France
Toshihiko Ohtomo Japan
Xiaoping Geng China
Joanna H.M. Tong Hong Kong
Mairene Coto‐Llerena relative to Karen Man‐Fong Sze Hong Kong Karen Man‐Fong Sze's profile →
Citations per field
00.5×3.1×
Karen Man‐Fong Sze · 1×
Citations per year

Countries citing papers authored by Mairene Coto‐Llerena

Since Specialization
Citations

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

Fields of papers citing papers by Mairene Coto‐Llerena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mairene Coto‐Llerena. 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 Mairene Coto‐Llerena. The network helps show where Mairene Coto‐Llerena may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20247
2
Arginine reprograms metabolism in liver cancer via RBM39breakdown →
2023145
3 202315
4 202288
5 202216
6 202214
7 202217
8 20216
9 202113
10 20217
11 202110
12 202012
13 202050
14 20206
15 201875
16 201421
17 20145
18 20134
19 201163
20 201113

About Mairene Coto‐Llerena

Mairene Coto‐Llerena is a scholar working on Hepatology, Cancer Research and Virology, having authored 39 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hepatitis C virus research (15 papers), Hepatitis B Virus Studies (11 papers), Liver Disease Diagnosis and Treatment (7 papers), Cancer Genomics and Diagnostics (5 papers), Cancer, Hypoxia, and Metabolism (4 papers), Cancer Cells and Metastasis (4 papers), RNA modifications and cancer (4 papers) and Hepatocellular Carcinoma Treatment and Prognosis (3 papers). The work is most often cited by research in Hepatology (279 citations), Cancer Research (436 citations) and Pulmonary and Respiratory Medicine (351 citations). Mairene Coto‐Llerena has collaborated with scholars based in Switzerland, Spain and Italy. Frequent co-authors include Salvatore Piscuoglio, Caner Ercan, Markus H. Heim, Ravi Kiran Reddy Kalathur, Gerhard Christofori, David Buechel, Fengyuan Tang, Ruize Gao, Michael T. Dill and Shuang Song. Their work appears in journals such as Cell, Nucleic Acids Research and Journal of Biological Chemistry.

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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