Robert Soriano

7.8k citations
20 papers · 5.1k indexed · 1 hit paper · h-index 19

Impact in

  • Genetics top 0.2%
    • Glioma Diagnosis and Treatment
    • MicroRNA in disease regulation
    • Cancer, Hypoxia, and Metabolism
    • Cancer Genomics and Diagnostics

Papers in

Robert Soriano

20 papers receiving 5.0k citations

Hit Papers

Molecular subclasses of high-grade glioma predict prognosis, delineate a pattern of disease progression, and resemble stages in neurogenesis 2006 · 2.3k citations
2.3k200620262012201950010001.5k2.0k

Peers

Robert Soriano
Comparison fields: 5 of 116
  • Genetics 1.8k
  • Cancer Research 1.5k
  • Oncology 1.5k
  • Developmental Neuroscience 172
  • Molecular Biology 2.7k
Replace Samir Kharbanda with:
Samir Kharbanda United States
Sandra Pastorino United States
William F. Forrest United States
Yuri Kotliarov United States
Do‐Hyun Nam South Korea
Sara Piccirillo Italy
Anna Lasorella United States
Joon H. Uhm United States
Mitsutoshi Nakamura Japan
Katrin Lamszus Germany
Robert Soriano relative to Samir Kharbanda United States Samir Kharbanda's profile →
Citations per field
00.5×1.5×
Samir Kharbanda · 1×
Citations per year

Countries citing papers authored by Robert Soriano

Since Specialization
Citations

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

Fields of papers citing papers by Robert Soriano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2015125
2 20141
3 2014189
4 201397
5 2013140
6 201360
7 201266
8 2012155
9 201258
10 201198
11 2009231
12 2007325
13 200793
14 200655
15
Molecular subclasses of high-grade glioma predict prognosis, delineate a pattern of disease progression, and resemble stages in neurogenesis
Hit paper breakdown →
20062311
16 2005415
17 2004481
18 200341
19 200279
20 200267

About Robert Soriano

Robert Soriano is a scholar working on Cancer Research, Developmental Neuroscience, Genetics, Immunology and Allergy and Molecular Biology, having authored 20 papers that have together received 5.1k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (5 papers), MicroRNA in disease regulation (3 papers), Angiogenesis and VEGF in Cancer (3 papers), Cell Adhesion Molecules Research (2 papers), Cancer Cells and Metastasis (2 papers), HER2/EGFR in Cancer Research (2 papers), Epigenetics and DNA Methylation (2 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Genetics (1.8k citations), Cancer Research (1.5k citations), Oncology (1.5k citations), Developmental Neuroscience (172 citations) and Molecular Biology (2.7k citations). Robert Soriano has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Zora Modrušan, Heidi Phillips, Samir Kharbanda, P. Mickey Williams, William F. Forrest, Liliana Soroceanu, Ruihuan Chen, Burt G. Feuerstein, Anjan Misra and Janice Nigro. Their work appears in journals such as Clinical Cancer Research, Proceedings of the National Academy of Sciences, Molecular Cancer Therapeutics, Endocrinology and Differentiation.

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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