David Fasel

2.9k total citations
8 papers, 228 citations indexed

About

David Fasel is a scholar working on Genetics, Molecular Biology and Nephrology. According to data from OpenAlex, David Fasel has authored 8 papers receiving a total of 228 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 2 papers in Molecular Biology and 2 papers in Nephrology. Recurrent topics in David Fasel's work include Genomics and Rare Diseases (4 papers), Ethics in Clinical Research (2 papers) and BRCA gene mutations in cancer (2 papers). David Fasel is often cited by papers focused on Genomics and Rare Diseases (4 papers), Ethics in Clinical Research (2 papers) and BRCA gene mutations in cancer (2 papers). David Fasel collaborates with scholars based in United States, Italy and Poland. David Fasel's co-authors include Ali G. Gharavi, Simone Sanna‐Cherchi, Miguel Verbitsky, Chunhua Weng, Wendy K. Chung, Rik Westland, Krzysztof Kiryluk, Emily Groopman, Hila Milo Rasouly and Gian Marco Ghiggeri and has published in prestigious journals such as Journal of Clinical Investigation, Annals of Internal Medicine and Kidney International.

In The Last Decade

David Fasel

8 papers receiving 226 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Fasel United States	7	124	111	73	62	25	8	228
Juan Alberto Piñero‐Fernández Spain	7	132 1.1×	125 1.1×	102 1.4×	36 0.6×	22 0.9×	13	271
Yasufumi Ohtsuka Japan	9	78 0.6×	68 0.6×	99 1.4×	53 0.9×	10 0.4×	20	228
Nathalie Biebuyck France	7	88 0.7×	65 0.6×	80 1.1×	31 0.5×	30 1.2×	13	199
Tanja Knüppel Germany	5	245 2.0×	89 0.8×	51 0.7×	140 2.3×	53 2.1×	5	310
C. Steinkamm Germany	5	225 1.8×	280 2.5×	31 0.4×	68 1.1×	33 1.3×	11	322
Stephanie Donahue United States	10	226 1.8×	278 2.5×	16 0.2×	66 1.1×	50 2.0×	23	348
Charles D. Madsen United States	7	111 0.9×	178 1.6×	36 0.5×	34 0.5×	35 1.4×	9	201
Giulia Sansavini Italy	3	83 0.7×	12 0.1×	78 1.1×	10 0.2×	17 0.7×	3	135
Marie-Claude Addor Netherlands	6	106 0.9×	65 0.6×	9 0.1×	48 0.8×	8 0.3×	10	260
Dalgaard Oz	2	213 1.7×	365 3.3×	77 1.1×	132 2.1×	79 3.2×	7	415

Countries citing papers authored by David Fasel

Since Specialization

Citations

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

Fields of papers citing papers by David Fasel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Fasel

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

All Works

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8 of 8 papers shown

1.

Singhal, Pankhuri, Yogasudha Veturi, Scott Dudek, et al.. (2023). Evidence of epistasis in regions of long-range linkage disequilibrium across five complex diseases in the UK Biobank and eMERGE datasets. The American Journal of Human Genetics. 110(4). 575–591. 9 indexed citations

2.

Nestor, Jordan G., Alexander Fedotov, David Fasel, et al.. (2021). An electronic health record (EHR) log analysis shows limited clinician engagement with unsolicited genetic test results. JAMIA Open. 4(1). ooab014–ooab014. 6 indexed citations

3.

Fasel, David, et al.. (2020). Rapid exome sequencing in PICU patients with new-onset metabolic or neurological disorders. Pediatric Research. 88(5). 761–768. 17 indexed citations

4.

Li, Yifu, Emily Groopman, Vivette D. D’Agati, et al.. (2020). Type IV Collagen Mutations in Familial IgA Nephropathy. Kidney International Reports. 5(7). 1075–1078. 26 indexed citations

5.

Rasouly, Hila Milo, Maddalena Marasà, Debanjana Chatterjee, et al.. (2020). GeneLiFT: A novel test to facilitate rapid screening of genetic literacy in a diverse population undergoing genetic testing. Journal of Genetic Counseling. 30(3). 742–754. 19 indexed citations

6.

Rasouly, Hila Milo, Emily Groopman, David Fasel, et al.. (2018). The Burden of Candidate Pathogenic Variants for Kidney and Genitourinary Disorders Emerging From Exome Sequencing. Annals of Internal Medicine. 170(1). 11–21. 46 indexed citations

7.

Westland, Rik, Miguel Verbitsky, Katarina Vukojević, et al.. (2015). Copy number variation analysis identifies novel CAKUT candidate genes in children with a solitary functioning kidney. Kidney International. 88(6). 1402–1410. 54 indexed citations

8.

Verbitsky, Miguel, Simone Sanna‐Cherchi, David Fasel, et al.. (2015). Genomic imbalances in pediatric patients with chronic kidney disease. Journal of Clinical Investigation. 125(5). 2171–2178. 51 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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