Curt Scharfe

4.8k total citations · 2 hit papers
53 papers, 3.5k citations indexed

About

Curt Scharfe is a scholar working on Molecular Biology, Genetics and Clinical Biochemistry. According to data from OpenAlex, Curt Scharfe has authored 53 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 15 papers in Genetics and 12 papers in Clinical Biochemistry. Recurrent topics in Curt Scharfe's work include Metabolism and Genetic Disorders (12 papers), Genomics and Rare Diseases (7 papers) and Mitochondrial Function and Pathology (7 papers). Curt Scharfe is often cited by papers focused on Metabolism and Genetic Disorders (12 papers), Genomics and Rare Diseases (7 papers) and Mitochondrial Function and Pathology (7 papers). Curt Scharfe collaborates with scholars based in United States, Germany and Netherlands. Curt Scharfe's co-authors include Lars M. Steinmetz, Ronald W. Davis, Marcus W. Feldman, Aaron E. Hirsh, Hunter B. Fraser, Wen‐Hsiung Li, Zhenglong Gu, Xun Gu, Peter J. Oefner and Holger Prokisch and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Curt Scharfe

50 papers receiving 3.4k citations

Hit Papers

Role of duplicate genes in genetic robustness against nul... 2002 2026 2010 2018 2003 2002 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Curt Scharfe United States 23 2.7k 917 341 309 168 53 3.5k
Anish Kejariwal United States 7 2.4k 0.9× 1.0k 1.1× 299 0.9× 57 0.2× 154 0.9× 7 3.9k
Hong Xu United States 30 3.7k 1.4× 707 0.8× 369 1.1× 188 0.6× 797 4.7× 88 4.7k
Ivan Adzhubei United States 12 2.2k 0.8× 1.3k 1.4× 139 0.4× 94 0.3× 128 0.8× 20 3.4k
Kazuhiro Ogata Japan 36 4.1k 1.5× 1.0k 1.1× 641 1.9× 139 0.4× 343 2.0× 137 5.3k
John A. Capra United States 33 3.8k 1.4× 918 1.0× 398 1.2× 41 0.1× 124 0.7× 111 4.9k
Paul Shannon United States 23 3.0k 1.1× 1.6k 1.8× 250 0.7× 60 0.2× 131 0.8× 43 4.8k
Ryan J. Taft United States 43 5.1k 1.9× 869 0.9× 369 1.1× 98 0.3× 280 1.7× 86 6.5k
Eran Eden Israel 13 3.6k 1.3× 684 0.7× 231 0.7× 42 0.1× 173 1.0× 25 4.9k
Sabine Dietmann United Kingdom 46 6.9k 2.6× 1.1k 1.2× 313 0.9× 96 0.3× 219 1.3× 81 8.2k
Michal Minczuk United Kingdom 48 5.3k 2.0× 377 0.4× 154 0.5× 1.2k 4.0× 195 1.2× 99 5.8k

Countries citing papers authored by Curt Scharfe

Since Specialization
Citations

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

Fields of papers citing papers by Curt Scharfe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Curt Scharfe

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

All Works

20 of 20 papers shown
1.
Gandotra, Neeru, Antariksh Tyagi, Irina G. Tikhonova, Caroline Storer, & Curt Scharfe. (2025). CFTR haplotype phasing using long-read genome sequencing from ultralow input DNA. Genetics in Medicine Open. 3. 101962–101962.
2.
Gandotra, Neeru, et al.. (2025). Allele-specific electrical genotyping for diagnosis of transthyretin amyloidosis. Communications Engineering. 4(1). 47–47.
3.
Smith, Wendy E., Susan A. Berry, Christine Brown, et al.. (2024). Phenylalanine hydroxylase deficiency diagnosis and management: A 2023 evidence-based clinical guideline of the American College of Medical Genetics and Genomics (ACMG). Genetics in Medicine. 27(1). 101289–101289. 10 indexed citations
4.
Hong, Lingjuan, Severin Uebbing, Sameet Mehta, et al.. (2023). A systems biology approach identifies the role of dysregulated PRDM6 in the development of hypertension. Journal of Clinical Investigation. 133(4). 7 indexed citations
5.
Liu, Shujing, Björn Reinius, Curt Scharfe, et al.. (2023). Digital assay for rapid electronic quantification of clinical pathogens using DNA nanoballs. Science Advances. 9(36). eadi4997–eadi4997. 10 indexed citations
6.
Chan, Kee, Zhanzhi Hu, Heidi Cope, et al.. (2023). NBSTRN Tools to Advance Newborn Screening Research and Support Newborn Screening Stakeholders. International Journal of Neonatal Screening. 9(4). 63–63. 6 indexed citations
7.
Mak, Justin, Gang Peng, Anthony Le, et al.. (2023). Validation of a targeted metabolomics panel for improved second‐tier newborn screening. Journal of Inherited Metabolic Disease. 46(2). 194–205. 15 indexed citations
8.
Peña, Loren D.M., Lindsay C. Burrage, Gregory M. Enns, et al.. (2023). Contributions from medical geneticists in clinical trials of genetic therapies: A points to consider statement of the American College of Medical Genetics and Genomics (ACMG). Genetics in Medicine. 25(6). 100831–100831. 1 indexed citations
9.
Gandotra, Neeru, et al.. (2023). Nucleic Acid Quantification by Multi-Frequency Impedance Cytometry and Machine Learning. Biosensors. 13(3). 316–316. 16 indexed citations
10.
Kídd, Kenneth K., A.J. Pakstis, Neeru Gandotra, Curt Scharfe, & Daniele Podini. (2022). A multipurpose panel of microhaplotypes for use with STR markers in casework. Forensic Science International Genetics. 60. 102729–102729. 17 indexed citations
11.
Uebbing, Severin, Jake Gockley, Steven K. Reilly, et al.. (2020). Massively parallel discovery of human-specific substitutions that alter enhancer activity. Proceedings of the National Academy of Sciences. 118(2). 69 indexed citations
12.
Gandotra, Neeru, William C. Speed, Wenyi Qin, et al.. (2020). Validation of novel forensic DNA markers using multiplex microhaplotype sequencing. Forensic Science International Genetics. 47. 102275–102275. 31 indexed citations
13.
Gandotra, Neeru, et al.. (2020). Label-free DNA quantification by multi-frequency impedance cytometry and machine learning analysis. 515–516. 1 indexed citations
14.
Peng, Gang, et al.. (2018). Elevated methylmalonic acidemia (MMA) screening markers in Hispanic and preterm newborns. Molecular Genetics and Metabolism. 126(1). 39–42. 6 indexed citations
16.
Prokisch, Holger, Tilman Schlunck, David Camp, et al.. (2005). Proteome analysis of mitochondrial outer membrane from Neurospora crassa . PROTEOMICS. 6(1). 72–80. 70 indexed citations
17.
Zwaag, Bert van der, J. Peter H. Burbach, Curt Scharfe, et al.. (2005). Identifying new candidate genes for hereditary facial paresis on chromosome 3q21–q22 by RNA in situ hybridization in mouse. Genomics. 86(1). 55–67. 16 indexed citations
18.
Prokisch, Holger, Christophe Andréoli, Curt Scharfe, Lars M. Steinmetz, & Thomas Meitinger. (2004). Integrative analysis of the mitochondrial proteome. mediaTUM (Technical University of Munich). 2 indexed citations
19.
Fraser, Hunter B., Aaron E. Hirsh, Lars M. Steinmetz, Curt Scharfe, & Marcus W. Feldman. (2002). Evolutionary Rate in the Protein Interaction Network. Science. 296(5568). 750–752. 667 indexed citations breakdown →
20.
Scharfe, Curt. (2000). MITOP, the mitochondrial proteome database: 2000 update. Nucleic Acids Research. 28(1). 155–158. 63 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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