Gemma Bullich

662 total citations
12 papers, 290 citations indexed

About

Gemma Bullich is a scholar working on Molecular Biology, Nephrology and Genetics. According to data from OpenAlex, Gemma Bullich has authored 12 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Nephrology and 6 papers in Genetics. Recurrent topics in Gemma Bullich's work include Renal Diseases and Glomerulopathies (6 papers), Renal and related cancers (5 papers) and Genetic Syndromes and Imprinting (3 papers). Gemma Bullich is often cited by papers focused on Renal Diseases and Glomerulopathies (6 papers), Renal and related cancers (5 papers) and Genetic Syndromes and Imprinting (3 papers). Gemma Bullich collaborates with scholars based in Spain, Türkiye and United States. Gemma Bullich's co-authors include Roser Torrá, Elisabet Ars, José Ballarín, Mónica Furlano, Daniel Trujillano, Xavier Estivill, Patricia Ruíz, Stephan Ossowski, Lluís Guirado and Marc Pybus and has published in prestigious journals such as International Journal of Molecular Sciences, American Journal of Kidney Diseases and Nephrology Dialysis Transplantation.

In The Last Decade

Gemma Bullich

12 papers receiving 289 citations

Peers

Gemma Bullich
Yuya Aoto Japan
Gemma Bullich
Citations per year, relative to Gemma Bullich Gemma Bullich (= 1×) peers Yuya Aoto

Countries citing papers authored by Gemma Bullich

Since Specialization
Citations

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

Fields of papers citing papers by Gemma Bullich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gemma Bullich

This figure shows the co-authorship network connecting the top 25 collaborators of Gemma Bullich. A scholar is included among the top collaborators of Gemma Bullich 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 Gemma Bullich. Gemma Bullich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Pybus, Marc, Gemma Bullich, Mónica Furlano, et al.. (2021). Clinical utility of genetic testing in early-onset kidney disease: seven genes are the main players. Nephrology Dialysis Transplantation. 37(4). 687–696. 47 indexed citations
2.
Furlano, Mónica, Víctor Martínez, Marc Pybus, et al.. (2021). Clinical and Genetic Features of Autosomal Dominant Alport Syndrome: A Cohort Study. American Journal of Kidney Diseases. 78(4). 560–570.e1. 60 indexed citations
3.
Gürsoy, Semra, Gemma Bullich, Leslie Matalonga, et al.. (2021). De Novo PORCN and ZIC2 Mutations in a Highly Consanguineous Family. International Journal of Molecular Sciences. 22(4). 1549–1549. 3 indexed citations
4.
Furlano, Mónica, María del Prado Venegas, Silvana Novelli, et al.. (2019). MYH9 Associated nephropathy. Nefrología (English Edition). 39(2). 133–140. 8 indexed citations
5.
Bullich, Gemma, Rosa Miquel, Mónica Furlano, et al.. (2018). Autosomal Dominant Tubulointerstitial Kidney Disease: Clinical Presentation of Patients With ADTKD-UMOD and ADTKD-MUC1. American Journal of Kidney Diseases. 72(3). 411–418. 36 indexed citations
6.
Furlano, Mónica, María del Prado Venegas, Silvana Novelli, et al.. (2018). Nefropatía asociada a mutación del gen MYH9. Nefrología. 39(2). 133–140. 8 indexed citations
7.
Furlano, Mónica, Teresa Sordé, Gemma Bullich, et al.. (2018). Autosomal Dominant Polycystic Kidney Disease: Clinical Assessment of Rapid Progression. American Journal of Nephrology. 48(4). 308–317. 9 indexed citations
8.
Kuebler, Bernd, Begoña Arán, Laia Miquel‐Serra, et al.. (2017). Generation of integration-free induced pluripotent stem cell lines derived from two patients with X-linked Alport syndrome (XLAS). Stem Cell Research. 25. 291–295. 10 indexed citations
9.
Kuebler, Bernd, Begoña Arán, Laia Miquel‐Serra, et al.. (2017). Integration-free induced pluripotent stem cells derived from a patient with autosomal recessive Alport syndrome (ARAS). Stem Cell Research. 25. 1–5. 8 indexed citations
10.
Bullich, Gemma, Iván Vargas, Daniel Trujillano, et al.. (2016). Contribution of the TTC21B gene to glomerular and cystic kidney diseases. Nephrology Dialysis Transplantation. 32(1). 151–156. 29 indexed citations
11.
Bullich, Gemma, Teresa Sordé, Violeta Catalá, et al.. (2015). Insight into response to mTOR inhibition when PKD1 and TSC2 are mutated. BMC Medical Genetics. 16(1). 39–39. 15 indexed citations
12.
Trujillano, Daniel, Gemma Bullich, Stephan Ossowski, et al.. (2014). Diagnosis of autosomal dominant polycystic kidney disease using efficient PKD1 and PKD2 targeted next‐generation sequencing. Molecular Genetics & Genomic Medicine. 2(5). 412–421. 57 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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