Clara Moon

2.2k total citations · 2 hit papers
13 papers, 1.7k citations indexed

About

Clara Moon is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Clara Moon has authored 13 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Oncology. Recurrent topics in Clara Moon's work include Gut microbiota and health (6 papers), Cancer Cells and Metastasis (3 papers) and Immunotherapy and Immune Responses (2 papers). Clara Moon is often cited by papers focused on Gut microbiota and health (6 papers), Cancer Cells and Metastasis (3 papers) and Immunotherapy and Immune Responses (2 papers). Clara Moon collaborates with scholars based in United States, Belgium and Italy. Clara Moon's co-authors include Thaddeus S. Stappenbeck, Hiroyuki Miyoshi, Kelli L. VanDussen, Matthew A. Ciorba, Phillip I. Tarr, Nurmohammad Shaikh, Michael J. Holtzman, Brian T. Edelson, Jörn C. Albring and Drew G. Michael and has published in prestigious journals such as Nature, Journal of Clinical Investigation and The Journal of Experimental Medicine.

In The Last Decade

Clara Moon

12 papers receiving 1.7k 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.

Peripheral CD103+ dendritic cells form a unified subset developmentally related to CD8α+ conventional dendritic cells

2010 586 citations Brian T. Edelson, Wumesh KC et al. The Journal of Experimental Medicine profile →
Development of an enhanced human gastrointestinal epithelial culture system to facilitate patient-based assays

2014 394 citations Kelli L. VanDussen, Nurmohammad Shaikh et al. Gut profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Clara Moon United States	10	697	622	413	228	227	13	1.7k
Giulia Nigro France	20	304 0.4×	934 1.5×	378 0.9×	258 1.1×	289 1.3×	40	1.7k
Sydney Lavoie United States	8	682 1.0×	571 0.9×	309 0.7×	159 0.7×	157 0.7×	9	1.6k
Andrew J. Martins United States	18	861 1.2×	629 1.0×	211 0.5×	145 0.6×	117 0.5×	29	1.7k
Anja Krause United States	25	661 0.9×	973 1.6×	680 1.6×	160 0.7×	469 2.1×	39	2.3k
Lina Kozhaya United States	28	1.5k 2.2×	1.1k 1.7×	465 1.1×	605 2.7×	181 0.8×	52	3.1k
Yanhong Ji China	23	994 1.4×	848 1.4×	366 0.9×	125 0.5×	162 0.7×	67	2.1k
Linda A. Lieberman United States	26	1.4k 1.9×	357 0.6×	380 0.9×	224 1.0×	120 0.5×	37	2.3k
Leandro J. Carreño Chile	28	1.0k 1.5×	597 1.0×	228 0.6×	422 1.9×	101 0.4×	65	2.2k
Nicole Israël France	30	1.1k 1.6×	747 1.2×	171 0.4×	388 1.7×	125 0.6×	64	2.6k
Borko Amulic Germany	17	1.6k 2.3×	686 1.1×	137 0.3×	232 1.0×	185 0.8×	27	2.4k

Countries citing papers authored by Clara Moon

Since Specialization

Citations

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

Fields of papers citing papers by Clara Moon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Clara Moon

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

All Works

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13 of 13 papers shown

Damm‐Ganamet, Kelly L., Clara Moon, Alan D. Wickenden, et al.. (2025). Allosteric modulation of the solute carrier transporter SLC39A8 potentiates manganese and cadmium uptake. Journal of Clinical Investigation. 135(21).

Montenegro-Burke, J. Rafael, Bernard P. Kok, Carlos Guijas, et al.. (2021). Metabolomics activity screening of T cell–induced colitis reveals anti-inflammatory metabolites. Science Signaling. 14(702). eabf6584–eabf6584. 27 indexed citations

Marchelletta, Ronald R., et al.. (2019). Evaluation of Compound Activity in Primary Human Intestinal Organoids Using Gene Expression and Histology. Current Protocols in Pharmacology. 85(1). e54–e54. 1 indexed citations

Moon, Clara, Gregory S. Stupp, Andrew I. Su, & Dennis W. Wolan. (2018). Metaproteomics of Colonic Microbiota Unveils Discrete Protein Functions among Colitic Mice and Control Groups. PROTEOMICS. 18(3-4). 9 indexed citations

Moon, Clara, et al.. (2017). Quantitative Metaproteomics and Activity-Based Probe Enrichment Reveals Significant Alterations in Protein Expression from a Mouse Model of Inflammatory Bowel Disease. Journal of Proteome Research. 16(2). 1014–1026. 57 indexed citations

Moon, Clara, Sandip Chatterjee, Gonzalo E. González‐Páez, et al.. (2017). Substrate Profiling and High Resolution Co-complex Crystal Structure of a Secreted C11 Protease Conserved across Commensal Bacteria. ACS Chemical Biology. 12(6). 1556–1565. 20 indexed citations

Moon, Clara, Megan T. Baldridge, Meghan A. Wallace, et al.. (2015). Vertically transmitted faecal IgA levels determine extra-chromosomal phenotypic variation. Nature. 521(7550). 90–93. 201 indexed citations

VanDussen, Kelli L., Nurmohammad Shaikh, Hiroyuki Miyoshi, et al.. (2014). Development of an enhanced human gastrointestinal epithelial culture system to facilitate patient-based assays. Gut. 64(6). 911–920. 394 indexed citations breakdown →

Moon, Clara, Kelli L. VanDussen, Hiroyuki Miyoshi, & Thaddeus S. Stappenbeck. (2013). Development of a primary mouse intestinal epithelial cell monolayer culture system to evaluate factors that modulate IgA transcytosis. Mucosal Immunology. 7(4). 818–828. 183 indexed citations

10.

Moon, Clara & Thaddeus S. Stappenbeck. (2012). Viral interactions with the host and microbiota in the intestine. Current Opinion in Immunology. 24(4). 405–410. 26 indexed citations

11.

Mahowald, Grace K., Michael A. Mahowald, Clara Moon, Bernard Khor, & Barry P. Sleckman. (2011). Out-of-Frame T Cell Receptor Beta Transcripts Are Eliminated by Multiple Pathways In Vivo. PLoS ONE. 6(7). e21627–e21627. 6 indexed citations

12.

Ciorba, Matthew A., Terrence E. Riehl, Mahil Rao, et al.. (2011). Lactobacillus probiotic protects intestinal epithelium from radiation injury in a TLR-2/cyclo-oxygenase-2-dependent manner. Gut. 61(6). 829–838. 204 indexed citations

13.

Edelson, Brian T., Wumesh KC, Masako Kohyama, et al.. (2010). Peripheral CD103+ dendritic cells form a unified subset developmentally related to CD8α+ conventional dendritic cells. The Journal of Experimental Medicine. 207(4). 823–836. 586 indexed citations breakdown →

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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