M. Morell

812 citations
25 papers · 569 · h-index 13

Impact in

    • Cancer Genomics and Diagnostics
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Pancreatic and Hepatic Oncology Research
    • Colorectal Cancer Treatments and Studies

Papers in

    • Pancreatic and Hepatic Oncology Research 8
    • Colorectal Cancer Treatments and Studies 3
    • Cancer Cells and Metastasis 2

M. Morell

24 papers receiving 563 citations

Peers

M. Morell
Comparison fields: 5 of 64
  • Cancer Research 171
  • Oncology 231
  • Molecular Biology 282
  • Internal Medicine 12
  • Biotechnology 26
Replace Giovanni Roveroni with:
Giovanni Roveroni Italy
Bettina Schwarz Germany
Martina Schmittnaegel Switzerland
Masashi Tomisawa Japan
G�nther Gastl Austria
Roselle J. Eisma United States
Snezana Andrejevic‐Blant Switzerland
Luigi Tomao Italy
Zhilan Xiao China
M. Morell relative to Giovanni Roveroni Italy Giovanni Roveroni's profile →
Citations per field
00.5×11.3×
Giovanni Roveroni · 1×
Citations per year

Countries citing papers authored by M. Morell

Since Specialization
Citations

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

Fields of papers citing papers by M. Morell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201369
2 201961
3 201956
4 200855
5 201451
6 201350
7 201242
8 200835
9 200729
10 202122
11 200621
12 201217
13 201613
14 201510
15 20218
16 20017
17 20034
18 20024
19 20164
20 20063

About M. Morell

M. Morell is a scholar working on Oncology, Molecular Biology, Surgery, Cancer Research and Genetics, having authored 25 papers that have together received 569 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (8 papers), Xenotransplantation and immune response (4 papers), Colorectal Cancer Treatments and Studies (3 papers), Cancer Genomics and Diagnostics (3 papers), Glioma Diagnosis and Treatment (3 papers), Tissue Engineering and Regenerative Medicine (2 papers), Cancer Cells and Metastasis (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Cancer Research (171 citations), Oncology (231 citations), Molecular Biology (282 citations), Internal Medicine (12 citations) and Biotechnology (26 citations). M. Morell has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include Gabriel Capellá, Teresa Serrano, Maica Galán, Juli Busquets, Oriol Casanovas, Joan Fabregat, Francesc Viñals, Berta Laquente, M. Calvo and Neus Agell. Their work appears in journals such as Apmis, Clinical & Translational Oncology, Molecular Oncology, Molecular Cancer Therapeutics and Bioelectrochemistry.

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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