Marlon Stoeckius

39.3k total citations · 4 hit papers
22 papers, 11.7k citations indexed

About

Marlon Stoeckius is a scholar working on Molecular Biology, Aging and Immunology. According to data from OpenAlex, Marlon Stoeckius has authored 22 papers receiving a total of 11.7k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 5 papers in Aging and 4 papers in Immunology. Recurrent topics in Marlon Stoeckius's work include Single-cell and spatial transcriptomics (9 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers) and RNA Research and Splicing (4 papers). Marlon Stoeckius is often cited by papers focused on Single-cell and spatial transcriptomics (9 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers) and RNA Research and Splicing (4 papers). Marlon Stoeckius collaborates with scholars based in United States, Germany and Canada. Marlon Stoeckius's co-authors include Peter Smibert, Rahul Satija, Christoph Hafemeister, William M. Mauck, Efthymia Papalexi, Andrew Butler, Paul Hoffman, Tim Stuart, Yuhan Hao and Brian Houck‐Loomis and has published in prestigious journals such as Cell, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Marlon Stoeckius

21 papers receiving 11.6k 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.

Comprehensive Integration of Single-Cell Data

2019 7.9k citations Tim Stuart, Andrew Butler et al. Cell profile →
Simultaneous epitope and transcriptome measurement in single cells

2017 1.8k citations Marlon Stoeckius, Christoph Hafemeister et al. Nature Methods profile →
Cell Hashing with barcoded antibodies enables multiplexing and doublet detection for single cell genomics

2018 552 citations Marlon Stoeckius, Shiwei Zheng et al. Genome biology profile →
Multiplexed detection of proteins, transcriptomes, clonotypes and CRISPR perturbations in single cells

2019 305 citations Eleni P. Mimitou, Anthony Cheng et al. Nature Methods profile →

Peers

Countries citing papers authored by Marlon Stoeckius

Since Specialization

Citations

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

Fields of papers citing papers by Marlon Stoeckius

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marlon Stoeckius

This figure shows the co-authorship network connecting the top 25 collaborators of Marlon Stoeckius. A scholar is included among the top collaborators of Marlon Stoeckius 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 Marlon Stoeckius. Marlon Stoeckius 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

#	Work	Indexed citations
1	Passenger mutations link cellular origin and transcriptional identity in human lung adenocarcinomas 2025 ·Nature Genetics ·Sukanya Panja, (unknown), (unknown), (unknown), (unknown), Aditya Deshpande, Huasong Tian, Shaham Beg, Kentaro Ohara, Alessandro Leal, Joel Rosiene, Marlon Stoeckius, Peter Smibert, William D. Travis, Juan Miguel Mosquera, Paz Polak, Marcin Imieliński	0
2	Integration of whole transcriptome spatial profiling with protein markers 2023 ·Nature Biotechnology ·(unknown), Xiang Niu, (unknown), Jesús Alfonso López Sotélo, (unknown), Caitlin M. Stewart, Catherine Potenski, (unknown), Patrick Roelli, Marlon Stoeckius, Dan A. Landau	91
3	Intratumor heterogeneity and T cell exhaustion in primary CNS lymphoma 2022 ·Genome Medicine ·Michael Heming, (unknown), Jolien Wolbert, I‐Na Lu, Xiaolin Li, Benjamin Brokinkel, Michael Müther, Markus Holling, Walter Stummer, Christian Thomas, Andreas Schulte‐Mecklenbeck, (unknown), Marlon Stoeckius, Stephan Hailfinger, Georg Lenz, Kornelius Kerl, Heinz Wiendl, Gerd Meyer zu Hörste, Oliver Grauer	28
4	Clonal lineage tracing reveals shared origin of conventional and plasmacytoid dendritic cells 2022 ·Immunity ·Jue Feng, Joseph N. Pucella, Geunhyo Jang, Marcela Alcántara‐Hernández, Samik Upadhaya, Nicholas M. Adams, Alireza Khodadadi‐Jamayran, Colleen M. Lau, Marlon Stoeckius, Stephanie Hao, Peter Smibert, Aristotelis Tsirigos, Juliana Idoyaga, Boris Reizis	56
5	Single Cell Analysis of Blood Mononuclear Cells Stimulated Through Either LPS or Anti-CD3 and Anti-CD28 2021 ·Frontiers in Immunology ·Nathan Lawlor, Djamel Nehar-Belaid, Jessica Grassmann, Marlon Stoeckius, Peter Smibert, Michael L. Stitzel, Virginia Pascual, Jacques Banchereau, Adam Williams, Duygu Ucar	49
6	Tracing tumorigenesis in a solid tumor model at single-cell resolution 2020 ·Nature Communications ·Samantha D. Praktiknjo, Benedikt Obermayer, Qionghua Zhu, Liang Fang, Haiyue Liu, Hazel M. Quinn, Marlon Stoeckius, Christine Kocks, Walter Birchmeier, Nikolaus Rajewsky	38
7	Multiplexed detection of proteins, transcriptomes, clonotypes and CRISPR perturbations in single cells breakdown → 2019 ·Nature Methods ·Eleni P. Mimitou, Anthony Cheng, Antonino Montalbano, Stephanie Hao, Marlon Stoeckius, Mateusz Legut, (unknown), Alberto Herrera, Efthymia Papalexi, Zhengqing Ouyang, Rahul Satija, Neville E. Sanjana, Sergei B. Koralov, Peter Smibert	305
8	Genome wide analysis of 3′ UTR sequence elements and proteins regulating mRNA stability during maternal-to-zygotic transition in zebrafish 2019 ·Genome Research ·Charles E. Vejnar, (unknown), Carter M. Takacs, Valeria Yartseva, Panos Oikonomou, Romain Christiano, Marlon Stoeckius, Stephanie Lau, Miler T. Lee, Jean-Denis Beaudoin, Damir Musaev, (unknown), Tobias C. Walther, Saeed Tavazoie, Daniel Cifuentes, Antonio J. Giráldez	48
9	ECCITE-seq 2019 ·Protocol Exchange ·Peter Smibert, Eleni P. Mimitou, Marlon Stoeckius	1
10	Comprehensive Integration of Single-Cell Data breakdown → 2019 ·Cell ·Tim Stuart, Andrew Butler, Paul Hoffman, Christoph Hafemeister, Efthymia Papalexi, William M. Mauck, Yuhan Hao, Marlon Stoeckius, Peter Smibert, Rahul Satija	7937
11	Cell Hashing with barcoded antibodies enables multiplexing and doublet detection for single cell genomics breakdown → 2018 ·Genome biology ·Marlon Stoeckius, Shiwei Zheng, Brian Houck‐Loomis, Stephanie Hao, Bertrand Z. Yeung, William M. Mauck, Peter Smibert, Rahul Satija	552
12	Simultaneous epitope and transcriptome measurement in single cells breakdown → 2017 ·Nature Methods ·Marlon Stoeckius, Christoph Hafemeister, William Stephenson, Brian Houck‐Loomis, Pratip K. Chattopadhyay, Harold Swerdlow, Rahul Satija, Peter Smibert	1786
13	Global characterization of the oocyte‐to‐embryo transition in C aenorhabditis elegans uncovers a novel m RNA clearance mechanism 2014 ·The EMBO Journal ·Marlon Stoeckius, Dominic Grün, Marieluise Kirchner, Salah Ayoub, Francesca Torti, Fabio Piano, (unknown), Matthias Selbach, Nikolaus Rajewsky	58
14	Paternal RNA contributions in the Caenorhabditis elegans zygote 2014 ·The EMBO Journal ·Marlon Stoeckius, Dominic Grün, Nikolaus Rajewsky	52
15	Conservation of mRNA and Protein Expression during Development of C. elegans 2014 ·Cell Reports ·Dominic Grün, Marieluise Kirchner, (unknown), Marlon Stoeckius, Matthias Selbach, Nikolaus Rajewsky	77
16	Paternal Diet Defines Offspring Chromatin State and Intergenerational Obesity 2014 ·Cell ·Anita Öst, Adelheid Lempradl, Eduard Casas, Melanie Weigert, (unknown), (unknown), Lorena Pantano, (unknown), Pavel M. Itskov, Marlon Stoeckius, (unknown), Nikolaus Rajewsky, Günter Reuter, Nicola Iovino, Carlos Ribeiro, Mattias Alenius, Steffen Heyne, Tanya Vavouri, J. Andrew Pospisilik	283
17	Essential Roles of Raf/Extracellular Signal-regulated Kinase/Mitogen-activated Protein Kinase Pathway, YY1, and Ca2+ Influx in Growth Arrest of Human Vascular Smooth Muscle Cells by Bilirubin 2012 ·Journal of Biological Chemistry ·Marlon Stoeckius, Anna Erat, Tatsuya Fujikawa, Makoto Hiromura, Anna Koulova, Leo E. Otterbein, Cesario Bianchi, Edda Tobiasch, Yossi Dagon, Frank W. Sellke, Anny Usheva	28
18	Select microRNAs are essential for early development in the sea urchin 2011 ·Developmental Biology ·Jia L. Song, Marlon Stoeckius, Jonas Maaskola, Marc R. Friedländer, Nadezda A. Stepicheva, Celina E. Juliano, Svetlana Lebedeva, W. T. Thompson, Nikolaus Rajewsky, Gary M. Wessel	51
19	In Vivo and Transcriptome-wide Identification of RNA Binding Protein Target Sites 2011 ·Molecular Cell ·(unknown), Marlon Stoeckius, Desirea Mecenas, Dominic Grün, Guido Mastrobuoni, Stefan Kempa, Nikolaus Rajewsky	120
20	Large-scale sorting of C. elegans embryos reveals the dynamics of small RNA expression 2009 ·Nature Methods ·Marlon Stoeckius, Jonas Maaskola, Teresa Colombo, Hans-Peter Rahn, Marc R. Friedländer, Na Li, Wei Chen, Fabio Piano, Nikolaus Rajewsky	73

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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