Dina Ruano

3.0k citations
51 papers · 1.7k · h-index 21

Impact in

Papers in

    • Genetic factors in colorectal cancer 20
    • Lymphoma Diagnosis and Treatment 6
    • Cancer Immunotherapy and Biomarkers 6
    • Colorectal Cancer Treatments and Studies 6
    • Cancer-related Molecular Pathways 4

Dina Ruano

49 papers receiving 1.7k citations

Peers

Dina Ruano
Comparison fields: 5 of 93
  • Cancer Research 502
  • Pathology and Forensic Medicine 575
  • Oncology 657
  • Obstetrics and Gynecology 138
  • Reproductive Medicine 108
Replace Lori C. Gowen with:
Lori C. Gowen United States
Marco Gessi Italy
Micheala A. Aldred United States
Jung Oh Kim South Korea
Ekrem Yavuz Türkiye
Gérald Raverot France
Božo Krušlin Croatia
Yuji Gunji Japan
Inga Sörensen Germany
Reena Shakya United States
Dina Ruano relative to Lori C. Gowen United States Lori C. Gowen's profile →
Citations per field
00.5×6.9×
Lori C. Gowen · 1×
Citations per year

Countries citing papers authored by Dina Ruano

Since Specialization
Citations

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

Fields of papers citing papers by Dina Ruano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016226
2 2011149
3 2017117
4 201596
5 201085
6 201482
7 202279
8 201879
9 202077
10 201472
11 201260
12 201258
13 201956
14 201947
15 200642
16 201339
17 201829
18 201927
19 201624
20 202321

About Dina Ruano

Dina Ruano is a scholar working on Pathology and Forensic Medicine, Oncology, Cancer Research, Molecular Biology and Genetics, having authored 51 papers that have together received 1.7k indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (20 papers), Cancer Genomics and Diagnostics (18 papers), Cancer Immunotherapy and Biomarkers (6 papers), Lymphoma Diagnosis and Treatment (6 papers), Colorectal Cancer Treatments and Studies (6 papers), Immunotherapy and Immune Responses (5 papers), BRCA gene mutations in cancer (4 papers) and Cancer-related Molecular Pathways (4 papers). The work is most often cited by research in Cancer Research (502 citations), Pathology and Forensic Medicine (575 citations), Oncology (657 citations), Obstetrics and Gynecology (138 citations) and Reproductive Medicine (108 citations). Dina Ruano has collaborated with scholars based in Netherlands, United States and Portugal. Frequent co-authors include Tom van Wezel, Hans Morreau, Vincent T.H.B.M. Smit, Ronald van Eijk, Tjalling Bosse, Noel F.C.C. de Miranda, Carli M.J. Tops, Ellen Stelloo, David N. Church and Elisabeth M. Osse. Their work appears in journals such as European Journal of Human Genetics, Journal of Molecular Diagnostics, PLoS ONE, American Journal of Medical Genetics Part B Neuropsychiatric Genetics and Cancers.

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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