Nicholas Knoblauch

2.2k total citations · 1 hit paper
15 papers, 1.1k citations indexed

About

Nicholas Knoblauch is a scholar working on Molecular Biology, Genetics and Artificial Intelligence. According to data from OpenAlex, Nicholas Knoblauch has authored 15 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Artificial Intelligence. Recurrent topics in Nicholas Knoblauch's work include AI in cancer detection (4 papers), Genetic Associations and Epidemiology (3 papers) and Molecular Biology Techniques and Applications (3 papers). Nicholas Knoblauch is often cited by papers focused on AI in cancer detection (4 papers), Genetic Associations and Epidemiology (3 papers) and Molecular Biology Techniques and Applications (3 papers). Nicholas Knoblauch collaborates with scholars based in United States, Canada and China. Nicholas Knoblauch's co-authors include Xin He, Matthew Stephens, Jean Morrison, Joseph Marcus, Andrew H. Beck, Benjamin Haibe‐Kains, Laleh Montaser‐Kouhsari, Marco M. Hefti, Rosalina Villalon Landeros and Brian C. Trainor and has published in prestigious journals such as Cell, Nature Communications and Nature Genetics.

In The Last Decade

Nicholas Knoblauch

14 papers receiving 1.1k citations

Hit Papers

Mendelian randomization accounting for correlated and unc... 2020 2026 2022 2024 2020 100 200 300
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.

  1. Mendelian randomization accounting for correlated and uncorrelated pleiotropic effects using genome-wide summary statistics
    2020 332 citations Jean Morrison, Nicholas Knoblauch et al. Nature Genetics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicholas Knoblauch United States 11 489 313 181 170 134 15 1.1k
Xiaoqing Yu United States 17 667 1.4× 102 0.3× 317 1.8× 308 1.8× 27 0.2× 71 1.5k
Małgorzata Wiench Poland 17 889 1.8× 287 0.9× 192 1.1× 205 1.2× 18 0.1× 38 1.6k
Laleh Montaser‐Kouhsari Iran 18 218 0.4× 29 0.1× 74 0.4× 129 0.8× 135 1.0× 34 849
Jeffrey L. Fine United States 19 337 0.7× 32 0.1× 98 0.5× 175 1.0× 318 2.4× 46 1.0k
Stephen C.J. Parker United States 21 1.2k 2.4× 410 1.3× 144 0.8× 86 0.5× 33 0.2× 49 1.9k
Jorge Aranda Mexico 16 243 0.5× 47 0.2× 49 0.3× 29 0.2× 61 0.5× 29 807
Malte D. Luecken Germany 11 1.8k 3.6× 85 0.3× 394 2.2× 164 1.0× 67 0.5× 18 2.2k
Abner Louissaint United States 18 657 1.3× 61 0.2× 270 1.5× 481 2.8× 19 0.1× 55 2.1k
Stéphan Saïkali France 23 701 1.4× 66 0.2× 372 2.1× 303 1.8× 70 0.5× 61 1.9k
Mark Kilgore United States 13 517 1.1× 182 0.6× 104 0.6× 151 0.9× 21 0.2× 36 967

Countries citing papers authored by Nicholas Knoblauch

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas Knoblauch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas Knoblauch

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

All Works

15 of 15 papers shown
1.
Sun, Xiaotong, Laura Sloofman, F. Kyle Satterstrom, et al.. (2025). MIRAGE: A Bayesian statistical method for gene-level rare-variant analysis incorporating functional annotations. The American Journal of Human Genetics. 113(1). 168–183.
2.
Morrison, Jean, Nicholas Knoblauch, Joseph Marcus, Matthew Stephens, & Xin He. (2020). Mendelian randomization accounting for correlated and uncorrelated pleiotropic effects using genome-wide summary statistics. Nature Genetics. 52(7). 740–747. 332 indexed citations breakdown →
3.
Zhao, Siming, Jun Liu, Yuwen Liu, et al.. (2019). Detailed modeling of positive selection improves detection of cancer driver genes. Nature Communications. 10(1). 3399–3399. 54 indexed citations
4.
Liu, Yuwen, Yanyu Liang, A. Ercüment Çiçek, et al.. (2018). A Statistical Framework for Mapping Risk Genes from De Novo Mutations in Whole-Genome-Sequencing Studies. The American Journal of Human Genetics. 102(6). 1031–1047. 20 indexed citations
5.
Harshfield, Benjamin J., Rong Hu, Nicholas Knoblauch, et al.. (2017). Expression Quantitative Trait loci (QTL) in tumor adjacent normal breast tissue and breast tumor tissue. PLoS ONE. 12(2). e0170181–e0170181. 7 indexed citations
6.
Oh, Eun-Yeong, Stephen M. Christensen, Jong Cheol Jeong, et al.. (2015). Extensive rewiring of epithelial-stromal co-expression networks in breast cancer. Genome Biology. 16(1). 128–128. 37 indexed citations
7.
Montaser‐Kouhsari, Laleh, Nicholas Knoblauch, Eun-Yeong Oh, et al.. (2015). Image-guided Coring for Large-scale Studies in Molecular Pathology. Applied immunohistochemistry & molecular morphology. 24(6). 431–435. 5 indexed citations
8.
Bucur, Octavian, Humayun Irshad, Laleh Montaser‐Kouhsari, et al.. (2015). Abstract 3477: 3D morphological hallmarks of breast carcinogenesis: Diagnosis of non-invasive and invasive breast cancer with Lightsheet microscopy. Cancer Research. 75(15_Supplement). 3477–3477. 2 indexed citations
9.
Irshad, Humayun, Laleh Montaser‐Kouhsari, Octavian Bucur, et al.. (2014). CROWDSOURCING IMAGE ANNOTATION FOR NUCLEUS DETECTION AND SEGMENTATION IN COMPUTATIONAL PATHOLOGY: EVALUATING EXPERTS, AUTOMATED METHODS, AND THE CROWD. PubMed. 294–305. 87 indexed citations
10.
Papa, Antonella, Lixin Wan, Massimo Bonora, et al.. (2014). Cancer-Associated PTEN Mutants Act in a Dominant-Negative Manner to Suppress PTEN Protein Function. Cell. 157(3). 595–610. 221 indexed citations
11.
Dong, Fei, Humayun Irshad, Eun-Yeong Oh, et al.. (2014). Computational Pathology to Discriminate Benign from Malignant Intraductal Proliferations of the Breast. PLoS ONE. 9(12). e114885–e114885. 86 indexed citations
12.
Elloul, Sivan, Dmitriy Kedrin, Nicholas Knoblauch, Andrew H. Beck, & Alex Toker. (2013). The Adherens Junction Protein Afadin Is an AKT Substrate that Regulates Breast Cancer Cell Migration. Molecular Cancer Research. 12(3). 464–476. 40 indexed citations
13.
Beck, Andrew H., Nicholas Knoblauch, Marco M. Hefti, et al.. (2013). Significance Analysis of Prognostic Signatures. PLoS Computational Biology. 9(1). e1002875–e1002875. 21 indexed citations
14.
Hefti, Marco M., Rong Hu, Nicholas Knoblauch, et al.. (2013). Estrogen receptor negative/progesterone receptor positive breast cancer is not a reproducible subtype. Breast Cancer Research. 15(4). R68–R68. 112 indexed citations
15.
Trainor, Brian C., et al.. (2011). Sex Differences in Social Interaction Behavior Following Social Defeat Stress in the Monogamous California Mouse (Peromyscus californicus). PLoS ONE. 6(2). e17405–e17405. 125 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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