I. Alfano

1.0k total citations
9 papers, 749 citations indexed

About

I. Alfano is a scholar working on Molecular Biology, Rheumatology and Cellular and Molecular Neuroscience. According to data from OpenAlex, I. Alfano has authored 9 papers receiving a total of 749 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Rheumatology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in I. Alfano's work include Heterotopic Ossification and Related Conditions (3 papers), Protein Tyrosine Phosphatases (2 papers) and Medical Imaging and Pathology Studies (2 papers). I. Alfano is often cited by papers focused on Heterotopic Ossification and Related Conditions (3 papers), Protein Tyrosine Phosphatases (2 papers) and Medical Imaging and Pathology Studies (2 papers). I. Alfano collaborates with scholars based in United Kingdom, Germany and Italy. I. Alfano's co-authors include Stefan Knapp, P. Filippakopoulos, Oliver N. F. King, Wen‐Hwa Lee, A. Barr, N. Burgess-Brown, E. Ugochukwu, P. Savitsky, Susanne Müller and Alex N. Bullock and has published in prestigious journals such as Cell, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

I. Alfano

9 papers receiving 740 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
I. Alfano United Kingdom	9	568	205	158	119	83	9	749
Yue Shen China	7	486 0.9×	31 0.2×	158 1.0×	89 0.7×	62 0.7×	10	673
Rainelli Koumangoye United States	16	676 1.2×	76 0.4×	15 0.1×	75 0.6×	30 0.4×	29	842
Azusa Ujike Japan	6	255 0.4×	656 3.2×	93 0.6×	25 0.2×	23 0.3×	6	910
Aslι Küçükosmanoğlu Netherlands	8	348 0.6×	23 0.1×	80 0.5×	38 0.3×	38 0.5×	12	572
Deanna M. Patmore United States	7	627 1.1×	143 0.7×	15 0.1×	66 0.6×	28 0.3×	8	863
Helen Travers United Kingdom	11	448 0.8×	145 0.7×	154 1.0×	29 0.2×	6 0.1×	16	905
Wentao Mi United States	10	363 0.6×	80 0.4×	68 0.4×	19 0.2×	9 0.1×	14	516
Lori Schultz United States	15	602 1.1×	127 0.6×	119 0.8×	24 0.2×	11 0.1×	17	955
Cathleen Rawson United States	11	357 0.6×	50 0.2×	26 0.2×	20 0.2×	19 0.2×	12	550
T Kano Japan	8	359 0.6×	90 0.4×	29 0.2×	38 0.3×	12 0.1×	17	628

Countries citing papers authored by I. Alfano

Since Specialization

Citations

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

Fields of papers citing papers by I. Alfano

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of I. Alfano

This figure shows the co-authorship network connecting the top 25 collaborators of I. Alfano. A scholar is included among the top collaborators of I. Alfano 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 I. Alfano. I. Alfano 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

Kerr, Georgina, Helen Sheldon, A. Chaikuad, et al.. (2015). A small molecule targeting ALK1 prevents Notch cooperativity and inhibits functional angiogenesis. Angiogenesis. 18(2). 209–217. 45 indexed citations

Horbelt, Daniel, Jan H. Boergermann, A. Chaikuad, et al.. (2014). Small Molecules Dorsomorphin and LDN-193189 Inhibit Myostatin/GDF8 Signaling and Promote Functional Myoblast Differentiation. Journal of Biological Chemistry. 290(6). 3390–3404. 46 indexed citations

Bagarova, Jana, Kelli Armstrong, Carol Lai, et al.. (2013). Constitutively Active ALK2 Receptor Mutants Require Type II Receptor Cooperation. Molecular and Cellular Biology. 33(12). 2413–2424. 67 indexed citations

Chaikuad, A., I. Alfano, Georgina Kerr, et al.. (2012). Structure of the Bone Morphogenetic Protein Receptor ALK2 and Implications for Fibrodysplasia Ossificans Progressiva. Journal of Biological Chemistry. 287(44). 36990–36998. 135 indexed citations

Pasquo, Alessandra, Valerio Consalvi, Stefan Knapp, et al.. (2012). Structural Stability of Human Protein Tyrosine Phosphatase ρ Catalytic Domain: Effect of Point Mutations. PLoS ONE. 7(2). e32555–e32555. 14 indexed citations

Radwańska, Kasia, Keiko Mizuno, Grace Schenatto Pereira, et al.. (2010). Differential regulation of CaMKII inhibitor β protein expression after exposure to a novel context and during contextual fear memory formation. Genes Brain & Behavior. 9(6). 648–657. 15 indexed citations

Barr, A., E. Ugochukwu, Wen‐Hwa Lee, et al.. (2009). Large-Scale Structural Analysis of the Classical Human Protein Tyrosine Phosphatome. Cell. 136(2). 352–363. 376 indexed citations

Alfano, I., Parvez Vora, Rosemary S. Mummery, Barbara Mulloy, & Christopher C. Rider. (2007). The major determinant of the heparin binding of glial cell-line-derived neurotrophic factor is near the N-terminus and is dispensable for receptor binding. Biochemical Journal. 404(1). 131–140. 31 indexed citations

Acampora, Dario, Alessandro Annino, Eduardo Puelles, et al.. (2003). OTX1 compensates for OTX2 requirement in regionalisation of anterior neuroectoderm. Gene Expression Patterns. 3(4). 497–501. 20 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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