Stuart C. Sealfon

20.5k total citations · 4 hit papers
210 papers, 12.3k citations indexed

About

Stuart C. Sealfon is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Immunology. According to data from OpenAlex, Stuart C. Sealfon has authored 210 papers receiving a total of 12.3k indexed citations (citations by other indexed papers that have themselves been cited), including 143 papers in Molecular Biology, 45 papers in Cellular and Molecular Neuroscience and 36 papers in Immunology. Recurrent topics in Stuart C. Sealfon's work include Receptor Mechanisms and Signaling (43 papers), Hypothalamic control of reproductive hormones (27 papers) and Neurotransmitter Receptor Influence on Behavior (21 papers). Stuart C. Sealfon is often cited by papers focused on Receptor Mechanisms and Signaling (43 papers), Hypothalamic control of reproductive hormones (27 papers) and Neurotransmitter Receptor Influence on Behavior (21 papers). Stuart C. Sealfon collaborates with scholars based in United States, South Africa and United Kingdom. Stuart C. Sealfon's co-authors include Javier González‐Maeso, Robert P. Millar, Harel Weinstein, Barbara J. Ebersole, Tony Yuen, Lenore Snyder, Yongchao Ge, Venugopalan D. Nair, Colleen A. Flanagan and Jay A. Gingrich and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Stuart C. Sealfon

203 papers receiving 12.0k 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.

Sequence Alignment of the G-Protein Coupled Receptor Superfamily

1992 700 citations Stuart C. Sealfon et al. profile →
Hallucinogens Recruit Specific Cortical 5-HT2A Receptor-Mediated Signaling Pathways to Affect Behavior

2007 653 citations Javier González‐Maeso, Noelia Weisstaub et al. profile →
Identification of a serotonin/glutamate receptor complex implicated in psychosis

2008 626 citations Javier González‐Maeso, Noelia Weisstaub et al. profile →
Understanding multicellular function and disease with human tissue-specific networks

2015 562 citations Boris Hartmann, Elena Zaslavsky et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stuart C. Sealfon United States	57	6.6k	4.1k	2.1k	1.5k	1.3k	210	12.3k
Anthony J. Harmar United Kingdom	56	7.9k 1.2×	8.8k 2.1×	697 0.3×	886 0.6×	1.3k 1.0×	133	18.7k
Stuart Maudsley United States	58	6.0k 0.9×	3.4k 0.8×	1.1k 0.5×	1.1k 0.7×	530 0.4×	171	13.3k
Yoshihiro Urade Japan	69	5.6k 0.9×	2.1k 0.5×	348 0.2×	1.3k 0.9×	1.9k 1.4×	339	16.6k
Jackie D. Corbin United States	84	15.1k 2.3×	3.4k 0.8×	345 0.2×	1.8k 1.2×	890 0.7×	261	22.6k
Lee E. Eiden United States	68	7.9k 1.2×	8.6k 2.1×	1.1k 0.5×	660 0.4×	798 0.6×	304	16.3k
Graeme Milligan United Kingdom	85	21.1k 3.2×	11.8k 2.9×	475 0.2×	862 0.6×	1.7k 1.3×	555	27.7k
Falk Fahrenholz Germany	47	5.7k 0.9×	2.4k 0.6×	332 0.2×	577 0.4×	862 0.7×	152	12.5k
Wolfgang Wurst Germany	82	14.7k 2.2×	5.6k 1.4×	416 0.2×	3.7k 2.5×	1.4k 1.0×	372	25.5k
Dominic J. Withers United Kingdom	49	5.9k 0.9×	1.6k 0.4×	290 0.1×	1.3k 0.9×	619 0.5×	103	13.0k
Tamás Bartfai Sweden	79	12.0k 1.8×	11.7k 2.9×	949 0.5×	1000 0.7×	2.4k 1.8×	393	23.6k

Countries citing papers authored by Stuart C. Sealfon

Since Specialization

Citations

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

Fields of papers citing papers by Stuart C. Sealfon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stuart C. Sealfon. 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 Stuart C. Sealfon. The network helps show where Stuart C. Sealfon may publish in the future.

Co-authorship network of co-authors of Stuart C. Sealfon

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

All Works

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20 of 20 papers shown

Rubenstein, Aliza B., Gregory R. Smith, Zidong Zhang, et al.. (2025). Integrated single-cell multiome analysis reveals muscle fiber-type gene regulatory circuitry modulated by endurance exercise. Genome Research. 35(7). 1664–1677.

Porter, Chad K., Charmagne Beckett, Lindsey White, et al.. (2024). Clinical and functional assessment of SARS-CoV-2 sequelae among young marines – a panel study. The Lancet Regional Health - Americas. 39. 100909–100909. 2 indexed citations

Ruf-Zamojski, Frederique, Michel Zamojski, Daniel J. Bernard, et al.. (2023). Peak-agnostic high-resolution cis-regulatory circuitry mapping using single cell multiome data. Nucleic Acids Research. 52(2). 572–582. 4 indexed citations

Raue, Ulrika, Gwénaëlle Begue, Kiril Minchev, et al.. (2023). Fast and slow muscle fiber transcriptome dynamics with lifelong endurance exercise. Journal of Applied Physiology. 136(2). 244–261. 6 indexed citations

Zhang, Zidong, Michel Zamojski, Gregory R. Smith, et al.. (2022). Single nucleus transcriptome and chromatin accessibility of postmortem human pituitaries reveal diverse stem cell regulatory mechanisms. Cell Reports. 38(10). 110467–110467. 37 indexed citations

Schang, Gauthier, Luisina Ongaro, Emilie Brûlé, et al.. (2022). Transcription factor GATA2 may potentiate follicle-stimulating hormone production in mice via induction of the BMP antagonist gremlin in gonadotrope cells. Journal of Biological Chemistry. 298(7). 102072–102072. 12 indexed citations

Rubenstein, Aliza B., J. Matthew Hinkley, Venugopalan D. Nair, et al.. (2022). Skeletal muscle transcriptome response to a bout of endurance exercise in physically active and sedentary older adults. American Journal of Physiology-Endocrinology and Metabolism. 322(3). E260–E277. 23 indexed citations

Wang, Xingyu, Jianming Chen, Sachiko Homma, et al.. (2022). Diverse effector and regulatory functions of fibro/adipogenic progenitors during skeletal muscle fibrosis in muscular dystrophy. iScience. 26(1). 105775–105775. 23 indexed citations

Sedegah, Martha, Chad K. Porter, Michael R. Hollingdale, et al.. (2022). CHARM: COVID-19 Health Action Response for Marines–Association of antigen-specific interferon-gamma and IL2 responses with asymptomatic and symptomatic infections after a positive qPCR SARS-CoV-2 test. PLoS ONE. 17(4). e0266691–e0266691.

10.

Aydillo, Teresa, Ana S. Gonzalez‐Reiche, Daniel Stadlbauer, et al.. (2022). Transcriptome signatures preceding the induction of anti-stalk antibodies elicited after universal influenza vaccination. npj Vaccines. 7(1). 160–160. 4 indexed citations

11.

Hoehn, Kenneth B., Palaniappan Ramanathan, Avraham Unterman, et al.. (2021). Cutting Edge: Distinct B Cell Repertoires Characterize Patients with Mild and Severe COVID-19. The Journal of Immunology. 206(12). 2785–2790. 30 indexed citations

12.

Mayer, Carl R., Justin M. Saunders, Miguel Fribourg, et al.. (2020). Interclass GPCR heteromerization affects localization and trafficking. Science Signaling. 13(654). 31 indexed citations

13.

Ramos, Irene, Gregory R. Smith, Frederique Ruf-Zamojski, et al.. (2019). Innate Immune Response to Influenza Virus at Single-Cell Resolution in Human Epithelial Cells Revealed Paracrine Induction of Interferon Lambda 1. Journal of Virology. 93(20). 67 indexed citations

14.

Papa, Luena, Eran Zimran, Mansour Djedaini, et al.. (2018). Ex vivo human HSC expansion requires coordination of cellular reprogramming with mitochondrial remodeling and p53 activation. Blood Advances. 2(20). 2766–2779. 32 indexed citations

15.

Medley, Kyle, Kiri Choi, Matthias König, et al.. (2018). Tellurium notebooks—An environment for reproducible dynamical modeling in systems biology. PLoS Computational Biology. 14(6). e1006220–e1006220. 28 indexed citations

16.

Hartmann, Boris, Randy A. Albrecht, Elena Zaslavsky, et al.. (2017). Pandemic H1N1 influenza A viruses suppress immunogenic RIPK3-driven dendritic cell death. Nature Communications. 8(1). 1931–1931. 41 indexed citations

17.

Choi, Soon Gang, Jingjing Jia, Robert Pfeffer, & Stuart C. Sealfon. (2012). G Proteins and Autocrine Signaling Differentially Regulate Gonadotropin Subunit Expression in Pituitary Gonadotrope. Journal of Biological Chemistry. 287(25). 21550–21560. 28 indexed citations

18.

Seto, Jeremy, et al.. (2008). Interferon-β Pretreatment of Conventional and Plasmacytoid Human Dendritic Cells Enhances Their Activation by Influenza Virus. PLoS Pathogens. 4(10). e1000193–e1000193. 65 indexed citations

19.

Weisstaub, Noelia, Ming‐Ming Zhou, Alena Lira, et al.. (2006). Cortical 5-HT _2A Receptor Signaling Modulates Anxiety-Like Behaviors in Mice. Science. 313(5786). 536–540. 328 indexed citations

20.

Ruf-Zamojski, Frederique, Myung‐June Park, F. Hayot, et al.. (2006). Mixed Analog/Digital Gonadotrope Biosynthetic Response to Gonadotropin-releasing Hormone. Journal of Biological Chemistry. 281(41). 30967–30978. 37 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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