R. Molina

949 total citations · 1 hit paper
16 papers, 689 citations indexed

About

R. Molina is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, R. Molina has authored 16 papers receiving a total of 689 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pulmonary and Respiratory Medicine, 5 papers in Oncology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in R. Molina's work include Prostate Cancer Diagnosis and Treatment (4 papers), Prostate Cancer Treatment and Research (4 papers) and Hepatocellular Carcinoma Treatment and Prognosis (3 papers). R. Molina is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (4 papers), Prostate Cancer Treatment and Research (4 papers) and Hepatocellular Carcinoma Treatment and Prognosis (3 papers). R. Molina collaborates with scholars based in Spain, United States and Austria. R. Molina's co-authors include Elżbieta Senkus, Andrea Nicolini, Michael J. Duffy, Fátima Cardoso, Nadia Harbeck, Xavier Filella, A M Ballesta, Aleix Cases, Judith Jo and Eric Mas and has published in prestigious journals such as European Journal of Cancer, Breast Cancer Research and Treatment and Tumor Biology.

In The Last Decade

R. Molina

15 papers receiving 670 citations

Hit Papers

Clinical use of biomarkers in breast cancer: Updated guid... 2017 2026 2020 2023 2017 100 200 300

Peers

R. Molina
Comparison fields: 5 of 77
  • Oncology 299
  • Molecular Biology 251
  • Cancer Research 240
  • Pulmonary and Respiratory Medicine 163
  • Radiology, Nuclear Medicine and Imaging 108
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Citations per field, relative to R. Molina
R. Molina · 1×
Citations per year, relative to R. Molina
R. Molina · 1×

Countries citing papers authored by R. Molina

Since Specialization
Citations

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

Fields of papers citing papers by R. Molina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Molina

This figure shows the co-authorship network connecting the top 25 collaborators of R. Molina. A scholar is included among the top collaborators of R. Molina 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 R. Molina. R. Molina is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
# Work Indexed citations
1 0
2
Clinical use of biomarkers in breast cancer: Updated guidelines from the European Group on Tumor Markers (EGTM) breakdown →
356
3 12
4 4
5 4
6 106
7 10
8
Detection of occult liver metastases in colorectal cancer by measurement of biliary carcinoembryonic antigen.
8
9 6
10 3
11 1
12
Oncogenic proteins and prognostic correlations in breast cancer.
1
13
CEA as a prognostic factor in colorectal cancer.
20
14 60
15 53
16 45

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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