Nicola Robas

498 total citations
9 papers, 395 citations indexed

About

Nicola Robas is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Pharmacology. According to data from OpenAlex, Nicola Robas has authored 9 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 2 papers in Pharmacology. Recurrent topics in Nicola Robas's work include Receptor Mechanisms and Signaling (4 papers), Neuropeptides and Animal Physiology (3 papers) and Phosphodiesterase function and regulation (3 papers). Nicola Robas is often cited by papers focused on Receptor Mechanisms and Signaling (4 papers), Neuropeptides and Animal Physiology (3 papers) and Phosphodiesterase function and regulation (3 papers). Nicola Robas collaborates with scholars based in United Kingdom and United States. Nicola Robas's co-authors include Mark Fidock, Emma J. Mead, Clare Gardner, Stephen C. Phillips, Scott H. Soderling, Rhona W. Baxendale, Joseph A. Beavo, Edward I. Balmond, Giuseppe Ciaramella and Nigel Horscroft and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemical and Biophysical Research Communications.

In The Last Decade

Nicola Robas

8 papers receiving 385 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Nicola Robas United Kingdom	6	262	126	79	73	58	9	395
Yanqing Kan United States	11	172 0.7×	278 2.2×	85 1.1×	74 1.0×	30 0.5×	11	530
Gudrun Toresson Sweden	11	332 1.3×	145 1.2×	48 0.6×	50 0.7×	64 1.1×	18	627
Jia Zou China	12	168 0.6×	81 0.6×	66 0.8×	100 1.4×	35 0.6×	19	412
Johann Penzien Germany	14	268 1.0×	106 0.8×	67 0.8×	76 1.0×	11 0.2×	17	627
Silvia Sposini United Kingdom	12	261 1.0×	140 1.1×	44 0.6×	49 0.7×	18 0.3×	17	556
J. Ham United Kingdom	14	175 0.7×	96 0.8×	30 0.4×	58 0.8×	18 0.3×	27	516
Christopher MacKenzie United Kingdom	12	220 0.8×	203 1.6×	63 0.8×	41 0.6×	15 0.3×	16	437
Andrés A. Urrutia Spain	12	194 0.7×	75 0.6×	36 0.5×	71 1.0×	23 0.4×	21	480
Asghar Hajibeigi United States	12	147 0.6×	65 0.5×	26 0.3×	41 0.6×	105 1.8×	16	477
W.J. Ryves United Kingdom	8	377 1.4×	142 1.1×	35 0.4×	54 0.7×	21 0.4×	9	535

Countries citing papers authored by Nicola Robas

Since Specialization

Citations

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

Fields of papers citing papers by Nicola Robas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicola Robas

This figure shows the co-authorship network connecting the top 25 collaborators of Nicola Robas. A scholar is included among the top collaborators of Nicola Robas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nicola Robas. Nicola Robas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Saralaya, Ramanatha, et al.. (2025). DOP098 Development of BEN8744, a phase 2 ready, peripherally restricted PDE10 inhibitor targeting a new mechanism of action for the treatment of ulcerative colitis.. Journal of Crohn s and Colitis. 19(Supplement_1). i263–i263. 1 indexed citations

Balmond, Edward I., et al.. (2024). Process Development for the Manufacture of a Topical Pan-Trk Inhibitor Incorporating Decarboxylative sp²–sp³ Cross-Coupling. Organic Process Research & Development. 28(12). 4317–4327.

Robas, Nicola. (2012). Use of Pd Biomarkers to Drive Dose Selection And Early Clinical Decision Making. Bioanalysis. 4(20). 2485–2497. 7 indexed citations

Flores, María Victoria, Timothy P. Hickling, Sasha Sreckovic, et al.. (2012). Preclinical Studies of Pf-04849285, An Interferon-α8 Fusion Protein for the Treatment of HCV. Antiviral Therapy. 17(5). 869–881. 4 indexed citations

Robas, Nicola & Mark Fidock. (2005). Identification of Orphan G Protein-Coupled Receptor Ligands Using FLIPR® Assays. Humana Press eBooks. 306. 17–26. 13 indexed citations

Robas, Nicola, Emma J. Mead, & Mark Fidock. (2003). MrgX2 Is a High Potency Cortistatin Receptor Expressed in Dorsal Root Ganglion. Journal of Biological Chemistry. 278(45). 44400–44404. 203 indexed citations

Robas, Nicola. (2003). Maximizing serendipity: strategies for identifying ligands for orphan G-protein-coupled receptors. Current Opinion in Pharmacology. 3(2). 121–126. 30 indexed citations

Gardner, Clare, et al.. (2000). Cloning and Characterization of the Human and Mouse PDE7B, a Novel cAMP-Specific Cyclic Nucleotide Phosphodiesterase. Biochemical and Biophysical Research Communications. 272(1). 186–192. 73 indexed citations

Robas, Nicola, Rhona W. Baxendale, Mark Fidock, et al.. (2000). Cloning and characterization of two splice variants of human phosphodiesterase 11A. Proceedings of the National Academy of Sciences. 97(23). 12891–12895. 64 indexed citations

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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