Kevin R. Moon

4.5k citations
39 papers · 2.1k indexed · 3 hit papers · h-index 12
Topics
Single-cell and spatial transcriptomics (9 papers)Cell Image Analysis Techniques (7 papers)Solar and Space Plasma Dynamics (5 papers)
Journals
NatureCellSHILAP Revista de lepidopterología

In The Last Decade

Kevin R. Moon

37 papers receiving 2.1k citations

Hit Papers

Recovering Gene Interactions from Single-Cell Data Using ...2018202620202023201820192023250500750

Peers

Kevin R. Moon
Comparison fields: 5 of 160
  • Molecular Biology 1.4k
  • Cancer Research 331
  • Biophysics 307
  • Immunology 293
  • Oncology 198
Replace Guy Wolf with:
Guy Wolf United States
Jingyi Jessica Li United States
Stephanie C. Hicks United States
David van Dijk United States
Barbara E. Engelhardt United States
Vladimir Yu Kiselev United Kingdom
Carsten Marr Germany
Florian Buettner Germany
Lukas M. Simon United States
Ivan G. Costa Germany
Kevin R. Moon relative to Guy Wolf United States Guy Wolf's profile →
Citations per field
00.5×
Guy Wolf · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 0
4 5
5 52
6 6
7 13
8 8
9 17
10 191
11
Visualizing structure and transitions in high-dimensional biological databreakdown →
524
12 21
13 7
14
Recovering Gene Interactions from Single-Cell Data Using Data Diffusionbreakdown →
945
15 4
16 6
17 5
18 8
19 6
20 4

About Kevin R. Moon

Kevin R. Moon is a scholar working on Biophysics, Statistics and Probability and Aging, having authored 39 papers that have together received 2.1k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (9 papers), Cell Image Analysis Techniques (7 papers) and Solar and Space Plasma Dynamics (5 papers). The work is most often cited by research in Biophysics (307 citations), Aging (42 citations) and Cancer Research (331 citations). Kevin R. Moon has collaborated with scholars based in United States, Canada and Belgium. Frequent co-authors include Guy Wolf, Smita Krishnaswamy, David van Dijk, Kristina Yim, Cassandra Burdziak, Dana Pe’er, Linas Mažutis, Brian Bierie, Diwakar R. Pattabiraman and Pooja Kathail. Their work appears in journals such as Nature, Cell and SHILAP Revista de lepidopterología.

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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