Robert B. Scharpf

15.3k total citations · 1 hit paper
74 papers, 2.6k citations indexed

About

Robert B. Scharpf is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Robert B. Scharpf has authored 74 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 26 papers in Cancer Research and 25 papers in Genetics. Recurrent topics in Robert B. Scharpf's work include Cancer Genomics and Diagnostics (25 papers), Gene expression and cancer classification (18 papers) and Genomic variations and chromosomal abnormalities (13 papers). Robert B. Scharpf is often cited by papers focused on Cancer Genomics and Diagnostics (25 papers), Gene expression and cancer classification (18 papers) and Genomic variations and chromosomal abnormalities (13 papers). Robert B. Scharpf collaborates with scholars based in United States, Netherlands and Germany. Robert B. Scharpf's co-authors include Rafael A. Irizarry, W. Evan Johnson, Ben Langmead, Donald Geman, Héctor Corrada Bravo, Keith Baggerly, Jeffrey T. Leek, Ingo Ruczinski, Giovanni Parmigiani and Benilton S. Carvalho and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Genetics.

In The Last Decade

Robert B. Scharpf

72 papers receiving 2.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Tackling the widespread and critical impact of batch effects in high-throughput data

2010 1.4k citations Robert B. Scharpf, Rafael A. Irizarry et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Robert B. Scharpf United States	19	1.5k	580	472	275	247	74	2.6k
Samuel A. Lambert United Kingdom	13	2.0k 1.3×	406 0.7×	691 1.5×	181 0.7×	246 1.0×	16	3.1k
Hua Su China	31	1.4k 1.0×	486 0.8×	231 0.5×	282 1.0×	298 1.2×	85	2.7k
Andreas Krause Switzerland	21	930 0.6×	299 0.5×	419 0.9×	215 0.8×	359 1.5×	85	2.3k
Alia Benkahla Tunisia	11	2.0k 1.3×	541 0.9×	334 0.7×	201 0.7×	365 1.5×	26	3.2k
Kuang‐Yu Jen United States	27	1.4k 0.9×	479 0.8×	439 0.9×	392 1.4×	617 2.5×	79	2.9k
Joanna Polańska Poland	27	1.0k 0.7×	460 0.8×	419 0.9×	385 1.4×	275 1.1×	171	2.6k
Slimane Ben Miled Tunisia	8	1.7k 1.1×	501 0.9×	231 0.5×	185 0.7×	301 1.2×	40	2.7k
Kristina Hanspers United States	19	2.3k 1.5×	450 0.8×	274 0.6×	158 0.6×	210 0.9×	25	3.1k
Liang‐Chuan Lai Taiwan	30	2.4k 1.6×	1.0k 1.8×	287 0.6×	343 1.2×	386 1.6×	146	3.4k
Oussema Souiai Tunisia	7	1.7k 1.1×	508 0.9×	217 0.5×	186 0.7×	300 1.2×	10	2.6k

Countries citing papers authored by Robert B. Scharpf

Since Specialization

Citations

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

Fields of papers citing papers by Robert B. Scharpf

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert B. Scharpf. 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 Robert B. Scharpf. The network helps show where Robert B. Scharpf may publish in the future.

Co-authorship network of co-authors of Robert B. Scharpf

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Hruban, Carolyn, Daniel C. Bruhm, Inna M. Chen, et al.. (2025). Genome-wide analyses of cell-free DNA for therapeutic monitoring of patients with pancreatic cancer. Science Advances. 11(21). eads5002–eads5002. 3 indexed citations

2.

Damanakis, Alexander, María A. Trujillo, Shalini Datta, et al.. (2025). Tumor immune microenvironment alterations associated with progression in human intraductal papillary mucinous neoplasms. The Journal of Pathology. 266(1). 40–50. 3 indexed citations

3.

Bruhm, Daniel C., Nicholas A. Vulpescu, Zachariah H. Foda, et al.. (2025). Genomic and fragmentomic landscapes of cell-free DNA for early cancer detection. Nature reviews. Cancer. 25(5). 341–358. 8 indexed citations

4.

Damanakis, Alexander, María A. Trujillo, Shalini Datta, et al.. (2025). Tumor immune microenvironment alterations associated with progression in human intraductal papillary mucinous neoplasms. Pancreatology. 25(7). 1275–1276.

5.

Halper‐Stromberg, Eitan, Alyza Skaist, Hirohiko Kamiyama, et al.. (2024). CRISPR-Cas9 for selective targeting of somatic mutations in pancreatic cancers. NAR Cancer. 6(2). zcae028–zcae028. 3 indexed citations

6.

Annapragada, Akshaya V., Noushin Niknafs, James R. White, et al.. (2024). Genome-wide repeat landscapes in cancer and cell-free DNA. Science Translational Medicine. 16(738). eadj9283–eadj9283. 24 indexed citations

7.

Noë, Michaël, Dimitrios Mathios, Akshaya V. Annapragada, et al.. (2024). DNA methylation and gene expression as determinants of genome-wide cell-free DNA fragmentation. Nature Communications. 15(1). 6690–6690. 10 indexed citations

8.

Scharpf, Robert B., et al.. (2023). Potential utility of risk stratification for multicancer screening with liquid biopsy tests. npj Precision Oncology. 7(1). 39–39. 3 indexed citations

9.

Bruhm, Daniel C., Dimitrios Mathios, Zachariah H. Foda, et al.. (2023). Single-molecule genome-wide mutation profiles of cell-free DNA for non-invasive detection of cancer. Nature Genetics. 55(8). 1301–1310. 30 indexed citations

10.

Ferrari, Adam J., Akshaya V. Annapragada, Yasuto Kinose, et al.. (2023). H2Bub1 loss is an early contributor to clear cell ovarian cancer progression. JCI Insight. 8(12). 4 indexed citations

11.

Medina, Jamie E., Nicholas C. Dracopoli, Peter B. Bach, et al.. (2023). Cell-free DNA approaches for cancer early detection and interception. Journal for ImmunoTherapy of Cancer. 11(9). e006013–e006013. 42 indexed citations

12.

Mazzone, Peter J., Kwok‐Kin Wong, Jun-Chieh J. Tsay, et al.. (2023). Abstract 5766: Prospective evaluation of cell-free DNA fragmentomes for lung cancer detection. Cancer Research. 83(7_Supplement). 5766–5766. 2 indexed citations

13.

Zheng, Lily, Noushin Niknafs, Laura D. Wood, Rachel Karchin, & Robert B. Scharpf. (2022). Estimation of cancer cell fractions and clone trees from multi-region sequencing of tumors. Bioinformatics. 38(15). 3677–3683. 5 indexed citations

14.

Erve, Iris van ’t, Jamie E. Medina, Alessandro Leal, et al.. (2022). Metastatic Colorectal Cancer Treatment Response Evaluation by Ultra-Deep Sequencing of Cell-Free DNA and Matched White Blood Cells. Clinical Cancer Research. 29(5). 899–909. 22 indexed citations

15.

Fu, Jack, Elizabeth J. Leslie, Alan F. Scott, et al.. (2018). Detection of de novo copy number deletions from targeted sequencing of trios. Bioinformatics. 35(4). 571–578. 1 indexed citations

16.

Phallen, Jillian, Alessandro Leal, Brian Woodward, et al.. (2018). Early Noninvasive Detection of Response to Targeted Therapy in Non–Small Cell Lung Cancer. Cancer Research. 79(6). 1204–1213. 73 indexed citations

17.

Scharpf, Robert B., Terri H. Beaty, Holger Schwender, et al.. (2012). Fast detection of de novo copy number variants from SNP arrays for case-parent trios. BMC Bioinformatics. 13(1). 330–330. 10 indexed citations

18.

Scharpf, Robert B., Rafael A. Irizarry, Matthew E. Ritchie, Benilton S. Carvalho, & Ingo Ruczinski. (2010). USING THE R PACKAGE crlmm FOR GENOTYPING AND COPY NUMBER ESTIMATION. SHILAP Revista de lepidopterología. 3 indexed citations

19.

Caffo, Brian, Dongmei Liu, Robert B. Scharpf, & Giovanni Parmigiani. (2009). Likelihood Estimation of Conjugacy Relationships in Linear Models with Applications to High-Throughput Genomics. The International Journal of Biostatistics. 5(1). Article 18–Article 18. 1 indexed citations

20.

Scharpf, Robert B., Håkon Tjelmeland, Giovanni Parmigiani, & Andrew B. Nobel. (2009). A Bayesian Model for Cross-Study Differential Gene Expression. Journal of the American Statistical Association. 104(488). 1295–1310. 25 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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