Kevin R. Moon

4.5k total citations · 3 hit papers
39 papers, 2.1k citations indexed

About

Kevin R. Moon is a scholar working on Molecular Biology, Artificial Intelligence and Biophysics. According to data from OpenAlex, Kevin R. Moon has authored 39 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Artificial Intelligence and 9 papers in Biophysics. Recurrent topics in Kevin R. Moon's work include Single-cell and spatial transcriptomics (9 papers), Cell Image Analysis Techniques (7 papers) and Solar and Space Plasma Dynamics (5 papers). Kevin R. Moon is often cited by papers focused on Single-cell and spatial transcriptomics (9 papers), Cell Image Analysis Techniques (7 papers) and Solar and Space Plasma Dynamics (5 papers). Kevin R. Moon collaborates with scholars based in United States, Canada and Belgium. Kevin R. Moon's co-authors include Guy Wolf, Smita Krishnaswamy, David van Dijk, Kristina Yim, Diwakar R. Pattabiraman, Pooja Kathail, Cassandra Burdziak, Ambrose Carr, Linas Mažutis and Roshan Sharma and has published in prestigious journals such as Nature, Cell and SHILAP Revista de lepidopterología.

In The Last Decade

Kevin R. Moon

37 papers receiving 2.1k 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.

Recovering Gene Interactions from Single-Cell Data Using Data Diffusion

2018 945 citations David van Dijk, Roshan Sharma et al. Cell profile →
Visualizing structure and transitions in high-dimensional biological data

2019 524 citations Kevin R. Moon, David van Dijk et al. Nature Biotechnology profile →
Geometry- and Accuracy-Preserving Random Forest Proximities

2023 90 citations Kevin R. Moon et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kevin R. Moon United States	12	1.4k	331	307	293	198	39	2.1k
Guy Wolf United States	11	1.5k 1.1×	348 1.1×	321 1.0×	299 1.0×	200 1.0×	59	2.1k
Kristina Yim United States	7	1.1k 0.8×	266 0.8×	201 0.7×	268 0.9×	178 0.9×	13	1.5k
Gökçen Eraslan United States	8	2.0k 1.4×	419 1.3×	345 1.1×	327 1.1×	146 0.7×	12	2.6k
Jeffrey Regier United States	8	1.4k 1.0×	298 0.9×	402 1.3×	274 0.9×	72 0.4×	14	1.7k
Vladimir Yu Kiselev United Kingdom	13	2.6k 1.9×	595 1.8×	420 1.4×	409 1.4×	145 0.7×	16	2.9k
David van Dijk United States	22	2.0k 1.4×	367 1.1×	336 1.1×	586 2.0×	393 2.0×	48	3.2k
Michael T. Schaub Germany	23	1.3k 0.9×	256 0.8×	174 0.6×	199 0.7×	70 0.4×	64	2.5k
Anjun Ma United States	24	1.6k 1.2×	313 0.9×	186 0.6×	152 0.5×	114 0.6×	58	2.2k
David Van Valen United States	9	926 0.7×	216 0.7×	615 2.0×	388 1.3×	337 1.7×	14	1.9k
Jingyi Jessica Li United States	29	2.4k 1.7×	539 1.6×	157 0.5×	244 0.8×	123 0.6×	98	3.2k

Countries citing papers authored by Kevin R. Moon

Since Specialization

Citations

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

Fields of papers citing papers by Kevin R. Moon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin R. Moon. 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 Kevin R. Moon. The network helps show where Kevin R. Moon may publish in the future.

Co-authorship network of co-authors of Kevin R. Moon

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin R. Moon. A scholar is included among the top collaborators of Kevin R. Moon 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 Kevin R. Moon. Kevin R. Moon 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

Moon, Kevin R., et al.. (2024). Advancing Tabular Data Classification with Graph Neural Networks: A Random Forest Proximity Method. 7011–7020. 1 indexed citations

Hampel-Arias, Z., et al.. (2023). Ensemble segmentation for improved background estimation and gas plume identification in hyperspectral images. 44. 4–4.

Hannes, Femke, et al.. (2023). Optimizing health and nutrition status of migrant construction workers consuming multiple micronutrient fortified rice in Singapore. PLoS ONE. 18(6). e0285708–e0285708.

Orozco‐Duque, Andrés, et al.. (2022). Geometry Regularized Autoencoders. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(6). 7381–7394. 5 indexed citations

Moyle, Mark W., Manik Kuchroo, Leighton H. Duncan, et al.. (2021). Structural and developmental principles of neuropil assembly in C. elegans. Nature. 591(7848). 99–104. 52 indexed citations

Moon, Kevin R., David van Dijk, Zheng Wang, et al.. (2020). Author Correction: Visualizing structure and transitions in high-dimensional biological data. Nature Biotechnology. 38(1). 108–108. 6 indexed citations

Zhang, Wei, et al.. (2020). Imaging of PD-L1 in single cancer cells by SERS-based hyperspectral analysis. Biomedical Optics Express. 11(11). 6197–6197. 8 indexed citations

Zhao, Yujiao, Matthew Amodio, Brent Vander Wyk, et al.. (2020). Single cell immune profiling of dengue virus patients reveals intact immune responses to Zika virus with enrichment of innate immune signatures. PLoS neglected tropical diseases. 14(3). e0008112–e0008112. 13 indexed citations

Zhang, Wei, Jon Y. Takemoto, Xiaojun Qi, et al.. (2020). Label-free discrimination and quantitative analysis of oxidative stress induced cytotoxicity and potential protection of antioxidants using Raman micro-spectroscopy and machine learning. Analytica Chimica Acta. 1128. 221–230. 17 indexed citations

10.

Amodio, Matthew, David van Dijk, Krishnan Srinivasan, et al.. (2019). Exploring single-cell data with deep multitasking neural networks. Nature Methods. 16(11). 1139–1145. 191 indexed citations

11.

Moon, Kevin R., David van Dijk, Zheng Wang, et al.. (2019). Visualizing structure and transitions in high-dimensional biological data. Nature Biotechnology. 37(12). 1482–1492. 524 indexed citations breakdown →

12.

Shin, Min Sun, Kristina Yim, Kevin R. Moon, et al.. (2019). Dissecting alterations in human CD8+ T cells with aging by high-dimensional single cell mass cytometry. Clinical Immunology. 200. 24–30. 21 indexed citations

13.

Moyle, Mark W., Manik Kuchroo, David van Dijk, et al.. (2019). Coarse Graining of Data via Inhomogeneous Diffusion Condensation. PubMed. 2019. 2624–2633. 7 indexed citations

14.

Dijk, David van, Roshan Sharma, Juozas Nainys, et al.. (2018). Recovering Gene Interactions from Single-Cell Data Using Data Diffusion. Cell. 174(3). 716–729.e27. 945 indexed citations breakdown →

15.

Amodio, Matthew, Krishnan Srinivasan, David van Dijk, et al.. (2018). Abstract 5306: SAUCIE: Sparse autoencoder for unsupervised clustering, imputation, and embedding. Cancer Research. 78(13_Supplement). 5306–5306. 4 indexed citations

16.

Moon, Kevin R., David van Dijk, Zheng Wang, et al.. (2018). Visualizing Structure and Transitions for Biological Data Exploration. SSRN Electronic Journal. 10 indexed citations

17.

Moon, Kevin R., et al.. (2016). Image patch analysis of sunspots and active regions. SHILAP Revista de lepidopterología. 6 indexed citations

18.

Moon, Kevin R., et al.. (2016). Image patch analysis of sunspots and active regions. SHILAP Revista de lepidopterología. 5 indexed citations

19.

Moon, Kevin R., et al.. (2015). Image patch analysis of sunspots and active regions. I. Intrinsic dimension and correlation analysis. arXiv (Cornell University). 4 indexed citations

20.

Moon, Kevin R., et al.. (2011). Broadband RF impedance spectroscopy in micromachined microfluidic channels. PubMed. 2011. 4042–4045. 4 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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