Roberto Würth

2.1k citations
37 papers · 1.4k · h-index 22

Impact in

  • Oncology top 5%
    • Cancer Cells and Metastasis
    • Chemokine receptors and signaling
  • Genetics top 5%
    • Glioma Diagnosis and Treatment

Papers in

    • Chemokine receptors and signaling 9
    • Cancer Cells and Metastasis 6
    • Metabolism, Diabetes, and Cancer 6

Roberto Würth

35 papers receiving 1.4k citations

Peers

Roberto Würth
Comparison fields: 5 of 91
  • Oncology 469
  • Genetics 185
  • Cancer Research 239
  • Molecular Biology 718
  • Endocrinology, Diabetes and Metabolism 147
Replace Alessandra Pattarozzi with:
Alessandra Pattarozzi Italy
Matthias Drosten Spain
Chirayu Goswami United States
Francesco Trapasso Italy
Zhong-Ping Chen China
Vladimir Amani United States
José A. Galván Switzerland
Stefan Pusch Germany
Helen J. Huang United States
Abha Saxena United States
Roberto Würth relative to Alessandra Pattarozzi Italy Alessandra Pattarozzi's profile →
Citations per field
00.5×1.5×
Alessandra Pattarozzi · 1×
Citations per year

Countries citing papers authored by Roberto Würth

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Würth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012157
2 2015119
3 2013104
4 2014104
5 201599
6 201386
7 201685
8 200763
9 201459
10 201653
11 201649
12 201547
13 201139
14 201135
15 201634
16 201833
17 201631
18 201828
19 201427
20 201427

About Roberto Würth

Roberto Würth is a scholar working on Oncology, Molecular Biology, Immunology, Pulmonary and Respiratory Medicine and Endocrinology, Diabetes and Metabolism, having authored 37 papers that have together received 1.4k indexed citations. Recurring topics across this work include Chemokine receptors and signaling (9 papers), Metabolism, Diabetes, and Cancer (6 papers), Cancer Cells and Metastasis (6 papers), Pituitary Gland Disorders and Treatments (5 papers), Glioma Diagnosis and Treatment (4 papers), interferon and immune responses (3 papers), Neuroblastoma Research and Treatments (3 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Oncology (469 citations), Genetics (185 citations), Cancer Research (239 citations), Molecular Biology (718 citations) and Endocrinology, Diabetes and Metabolism (147 citations). Roberto Würth has collaborated with scholars based in Italy, Germany and France. Frequent co-authors include Tullio Florio, Federica Barbieri, Alessandra Pattarozzi, Adriana Bajetto, Antonio Daga, Stefano Thellung, Monica Gatti, Alessandro Corsaro, Michele Mazzanti and Gianluigi Zona. Their work appears in journals such as Cancer Research, Experimental Cell Research, Cell Cycle, Oncotarget and Journal of Neuroimmunology.

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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