Sergio Daga

2.9k total citations
9 papers, 120 citations indexed

About

Sergio Daga is a scholar working on Molecular Biology, Immunology and Allergy and Genetics. According to data from OpenAlex, Sergio Daga has authored 9 papers receiving a total of 120 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Immunology and Allergy and 4 papers in Genetics. Recurrent topics in Sergio Daga's work include Cell Adhesion Molecules Research (6 papers), Renal and related cancers (4 papers) and Renal Diseases and Glomerulopathies (3 papers). Sergio Daga is often cited by papers focused on Cell Adhesion Molecules Research (6 papers), Renal and related cancers (4 papers) and Renal Diseases and Glomerulopathies (3 papers). Sergio Daga collaborates with scholars based in Italy, Australia and Lithuania. Sergio Daga's co-authors include Alessandra Renieri, Anna Maria Pinto, Simone Furini, Elisa Frullanti, Chiara Fallerini, Maria Antonietta Mencarelli, Annarita Giliberti, Elisa Benetti, Silvestro G. Conticello and Floriana Valentino and has published in prestigious journals such as Transplantation, Clinical Journal of the American Society of Nephrology and Human Mutation.

In The Last Decade

Sergio Daga

8 papers receiving 118 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sergio Daga Italy	6	66	56	45	32	27	9	120
Susie Gear United Kingdom	5	61 0.9×	94 1.7×	35 0.8×	41 1.3×	53 2.0×	5	143
Katia Capitani Italy	4	58 0.9×	17 0.3×	30 0.7×	9 0.3×	7 0.3×	4	89
Jörg Dötsch Germany	5	76 1.2×	19 0.3×	39 0.9×	7 0.2×	60 2.2×	9	131
Chiara Chiereghin Italy	8	73 1.1×	15 0.3×	18 0.4×	35 1.1×	5 0.2×	12	128
Milan Hiersche Germany	4	68 1.0×	9 0.2×	73 1.6×	38 1.2×	8 0.3×	5	138
Denisa Urban Canada	3	22 0.3×	9 0.2×	14 0.3×	67 2.1×	9 0.3×	3	108
Tania Giangregorio Italy	4	14 0.2×	6 0.1×	23 0.5×	62 1.9×	7 0.3×	10	90
Maya Aleksandrova United States	5	40 0.6×	36 0.6×	7 0.2×	9 0.3×	8 0.3×	11	76
Richard Lao United States	4	51 0.8×	9 0.2×	68 1.5×	5 0.2×	2 0.1×	7	117
Mafalda Mucciolo Italy	8	88 1.3×	8 0.1×	73 1.6×	7 0.2×	1 0.0×	21	158

Countries citing papers authored by Sergio Daga

Since Specialization

Citations

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

Fields of papers citing papers by Sergio Daga

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sergio Daga

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

1.

Daga, Sergio, Kristina Zguro, Sergio Tripodi, et al.. (2024). Slowly progressive autosomal dominant Alport Syndrome due to COL4A3 splicing variant. European Journal of Human Genetics. 33(4). 461–467.

2.

Savige, Judy, Alessandra Renieri, Elisabet Ars, et al.. (2022). Digenic Alport Syndrome. Clinical Journal of the American Society of Nephrology. 17(11). 1697–1706. 27 indexed citations

3.

Croci, Susanna, Miriam Lucia Carriero, Katia Capitani, et al.. (2020). High rate of HDR in gene editing of p.(Thr158Met) MECP2 mutational hotspot. European Journal of Human Genetics. 28(9). 1231–1242. 14 indexed citations

4.

Croci, Susanna, Miriam Lucia Carriero, Katia Capitani, et al.. (2020). AAV-mediated FOXG1 gene editing in human Rett primary cells. European Journal of Human Genetics. 28(10). 1446–1458. 13 indexed citations

5.

Daga, Sergio, Francesco Donati, Katia Capitani, et al.. (2019). New frontiers to cure Alport syndrome: COL4A3 and COL4A5 gene editing in podocyte-lineage cells. European Journal of Human Genetics. 28(4). 480–490. 30 indexed citations

6.

Daga, Sergio, Chiara Fallerini, Simone Furini, et al.. (2019). Non-collagen genes role in digenic Alport syndrome. BMC Nephrology. 20(1). 70–70. 14 indexed citations

7.

Pinto, Anna Maria, Sergio Daga, Chiara Fallerini, et al.. (2019). Detection of Cryptic Mosaicism in X-linked Alport Syndrome Prompts to Re-evaluate Living-donor Kidney Transplantation. Transplantation. 104(11). 2360–2364. 4 indexed citations

8.

Daga, Sergio, Margherita Baldassarri, Caterina Lo Rizzo, et al.. (2017). Urine-derived podocytes-lineage cells: A promising tool for precision medicine in Alport Syndrome. Human Mutation. 39(2). 302–314. 14 indexed citations

9.

Pinto, Anna Maria, Francesca Ariani, Laura Bianciardi, Sergio Daga, & Alessandra Renieri. (2016). Exploiting the potential of next-generation sequencing in genomic medicine. Expert Review of Molecular Diagnostics. 16(9). 1037–1047. 4 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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