Nathan Johnson

961 total citations · 1 hit paper
15 papers, 433 citations indexed

About

Nathan Johnson is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Pharmacology. According to data from OpenAlex, Nathan Johnson has authored 15 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Pharmacology. Recurrent topics in Nathan Johnson's work include Radiopharmaceutical Chemistry and Applications (3 papers), RNA modifications and cancer (3 papers) and Nematode management and characterization studies (2 papers). Nathan Johnson is often cited by papers focused on Radiopharmaceutical Chemistry and Applications (3 papers), RNA modifications and cancer (3 papers) and Nematode management and characterization studies (2 papers). Nathan Johnson collaborates with scholars based in United States, Canada and United Kingdom. Nathan Johnson's co-authors include Dmitry Korkin, Steve Rodriguez, George Zhou, Bradley T. Hyman, Peter K. Sorger, Nienke Moret, Clemens B. Hug, Mark W. Albers, Kyle E. Evans and Artem Sokolov and has published in prestigious journals such as Nature Communications, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Nathan Johnson

15 papers receiving 431 citations

Hit Papers

Machine learning identifies candidates for drug repurposi... 2021 2026 2022 2024 2021 50 100 150
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. Machine learning identifies candidates for drug repurposing in Alzheimer’s disease
    2021 181 citations Steve Rodriguez, Clemens B. Hug et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nathan Johnson United States 8 209 93 87 40 39 15 433
Danielle Dewar‐Darch Canada 7 563 2.7× 48 0.5× 35 0.4× 27 0.7× 69 1.8× 9 733
Heetak Lee South Korea 6 230 1.1× 22 0.2× 33 0.4× 15 0.4× 65 1.7× 15 525
Rudolf Pillich United States 13 501 2.4× 45 0.5× 46 0.5× 16 0.4× 85 2.2× 21 711
Lingyun Wang United States 12 267 1.3× 38 0.4× 16 0.2× 15 0.4× 17 0.4× 36 442
Raffaele Ferrari United Kingdom 7 381 1.8× 35 0.4× 33 0.4× 23 0.6× 126 3.2× 11 681
Hui‐Yun Hwang South Korea 7 204 1.0× 17 0.2× 17 0.2× 47 1.2× 56 1.4× 8 480
Wayne P. Bowen United Kingdom 8 409 2.0× 26 0.3× 28 0.3× 31 0.8× 29 0.7× 16 601
Dávid Fazekas Hungary 13 526 2.5× 24 0.3× 83 1.0× 15 0.4× 29 0.7× 18 652
Ravi Kumar Verma Singapore 15 401 1.9× 40 0.4× 50 0.6× 29 0.7× 17 0.4× 27 506
Vladimir F. Lazarev Russia 16 395 1.9× 9 0.1× 47 0.5× 30 0.8× 93 2.4× 36 551

Countries citing papers authored by Nathan Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Nathan Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nathan Johnson

This figure shows the co-authorship network connecting the top 25 collaborators of Nathan Johnson. A scholar is included among the top collaborators of Nathan Johnson 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 Nathan Johnson. Nathan Johnson 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.
Potter, Ross M., T. Bucky Jones, Nathan Johnson, et al.. (2024). Genetic Manipulation of Caveolin-1 in a Transgenic Mouse Model of Aortic Root Aneurysm: Sex-Dependent Effects on Endothelial and Smooth Muscle Function. International Journal of Molecular Sciences. 25(23). 12702–12702. 1 indexed citations
2.
Singh, Satyendra Kumar, Jinda Fan, Nathan Johnson, et al.. (2024). Pb-214/Bi-214-TCMC-Trastuzumab inhibited growth of ovarian cancer in preclinical mouse models. Frontiers in Chemistry. 11. 1322773–1322773. 7 indexed citations
3.
Narykov, Oleksandr, Nathan Johnson, & Dmitry Korkin. (2021). Predicting protein interaction network perturbation by alternative splicing with semi-supervised learning. Cell Reports. 37(8). 110045–110045. 6 indexed citations
4.
Brown, M. Alex, et al.. (2021). Recovery of high specific activity molybdenum-99 from accelerator-induced fission on low-enriched uranium for technetium-99m generators. Scientific Reports. 11(1). 13292–13292. 6 indexed citations
5.
Rodriguez, Steve, Clemens B. Hug, Petar V. Todorov, et al.. (2021). Machine learning identifies candidates for drug repurposing in Alzheimer’s disease. Nature Communications. 12(1). 1033–1033. 181 indexed citations breakdown →
6.
Fan, Jinda, et al.. (2021). Therapeutic Efficacy of Pb-214-labeled Trastuzumab in a Preclinical Model of Ovarian Cancer. 62. 93–93. 1 indexed citations
7.
Srinivasan, Suhas, et al.. (2020). A hybrid deep clustering approach for robust cell type profiling using single-cell RNA-seq data. RNA. 26(10). 1303–1319. 15 indexed citations
8.
Masonbrink, Rick E., Tom Maier, Usha Muppirala, et al.. (2019). The genome of the soybean cyst nematode (Heterodera glycines) reveals complex patterns of duplications involved in the evolution of parasitism genes. BMC Genomics. 20(1). 119–119. 59 indexed citations
9.
Pernas, Sònia, Shom Goel, Nathan Johnson, et al.. (2019). Early on-treatment vs pre-treatment tumour transcriptomes as predictors of response to neoadjuvant therapy for HER2-positive inflammatory breast cancer. Annals of Oncology. 30. v37–v37. 3 indexed citations
10.
Gardner, Michael, Nathan Johnson, Eric Davis, et al.. (2018). Novel global effector mining from the transcriptome of early life stages of the soybean cyst nematode Heterodera glycines. Scientific Reports. 8(1). 2505–2505. 32 indexed citations
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Johnson, Nathan, et al.. (2015). Integrated methylome and transcriptome analysis reveals novel regulatory elements in pediatric acute lymphoblastic leukemia. Epigenetics. 10(9). 882–890. 48 indexed citations
14.
Cui, Hongzhu, et al.. (2015). The variation game: Cracking complex genetic disorders with NGS and omics data. Methods. 79-80. 18–31. 19 indexed citations
15.
Bryda, Elizabeth C., Nathan Johnson, Kevin K. Ohlemiller, et al.. (2011). Conditional deletion of calcium-modulating cyclophilin ligand causes deafness in mice. Mammalian Genome. 23(3-4). 270–276. 7 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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