Nicolas Solban

1.7k citations
33 papers · 1.1k · h-index 16

Impact in

Papers in

Nicolas Solban

31 papers receiving 1.1k citations

Peers

Nicolas Solban
Comparison fields: 5 of 103
  • Pulmonary and Respiratory Medicine 481
  • Cancer Research 165
  • Biomedical Engineering 478
  • Biotechnology 68
  • Genetics 79
Replace Yan Ma with:
Yan Ma United States
Martin C. Boonstra Netherlands
Ana Gudelj Gračanin Netherlands
Chiara Spadazzi Italy
Herlen Alencar United States
Atsushi Kurabayashi Japan
Tobias Lange Germany
Kenneth C. Valkenburg United States
Anna Wilkins United Kingdom
Nicolas Solban relative to Yan Ma United States Yan Ma's profile →
Citations per field
00.5×1.7×
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Citations per year

Countries citing papers authored by Nicolas Solban

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Solban

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011170
2 2004133
3 2006121
4 2010117
5 201195
6 200679
7 200662
8 200561
9 200852
10 200044
11 201240
12 201623
13 200322
14 201818
15 200518
16 200615
17 20029
18 20206
19 20214
20 20204

About Nicolas Solban

Nicolas Solban is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Biomedical Engineering, Oncology and Immunology, having authored 33 papers that have together received 1.1k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (9 papers), Photodynamic Therapy Research Studies (9 papers), Nanoplatforms for cancer theranostics (7 papers), Cancer, Hypoxia, and Metabolism (5 papers), Angiogenesis and VEGF in Cancer (4 papers), Renal cell carcinoma treatment (3 papers), Photoacoustic and Ultrasonic Imaging (3 papers) and Renal and related cancers (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (481 citations), Cancer Research (165 citations), Biomedical Engineering (478 citations), Biotechnology (68 citations) and Genetics (79 citations). Nicolas Solban has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Tayyaba Hasan, Imran Rizvi, R. Scott Pearsall, Ravindra Kumar, Asya V. Grinberg, Kathryn Underwood, Jasbir Seehra, Sung K. Chang, Aaron W. Mulivor and Roselyne Castonguay. Their work appears in journals such as Cancer Research, Journal of Clinical Oncology, Molecular Cancer Therapeutics, Clinical Cancer Research and American Journal of Physiology-Renal Physiology.

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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