Nathan Salomonis

13.3k citations

129 papers · 7.1k indexed · 1 hit paper · h-index 43

Co-authors: Bruce R. Conklin Karen Vranizan H. Leighton Grimes Scott W Doniger Kam D Dahlquist Kashish Chetal André Olsson Meenakshi Venkatasubramanian
Topics: Single-cell and spatial transcriptomics (21 papers)RNA Research and Splicing (21 papers)Immune Cell Function and Interaction (15 papers)
Cited by: Transplantation Hematology Immunology
Journals: Nature Proceedings of the National Academy of Sciences Nucleic Acids Research
Partner nations: United States China Israel

In The Last Decade

Nathan Salomonis

121 papers receiving 7.1k 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.

MAPPFinder: using Gene Ontology and GenMAPP to create a global gene-expression profile from microarray data

2003 703 citations Nathan Salomonis, Karen Vranizan et al. profile →

Peers

Countries citing papers authored by Nathan Salomonis

Since Specialization

Citations

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

Fields of papers citing papers by Nathan Salomonis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nathan Salomonis

This figure shows the co-authorship network connecting the top 25 collaborators of Nathan Salomonis. A scholar is included among the top collaborators of Nathan Salomonis 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 Nathan Salomonis. Nathan Salomonis 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	A unified multimodal single-cell framework reveals a discrete state model of hematopoiesis in mice 2025 ·Nature Immunology ·Kyle Ferchen,Xuan Zhang,(unknown),Guangyuan Li,(unknown),Sidharth Sen,(unknown),André Olsson,(unknown),Crystal Potter,Fred D. Finkelman,Joshua Croteau,Samantha A. Morris,Harinder Singh,Nathan Salomonis,H. Leighton Grimes	0
2	Repression of TRIM13 by chromatin assembly factor CHAF1B is critical for AML development 2023 ·Blood Advances ·(unknown),(unknown),Xiaoqin Zhu,(unknown),(unknown),(unknown),(unknown),Michael A. Wyder,Nathan Salomonis,Mark Wunderlich,Kenneth D. Greis,Daniel T. Starczynowski,Andrew Volk	4
3	pyInfinityFlow: optimized imputation and analysis of high-dimensional flow cytometry data for millions of cells 2023 ·Bioinformatics ·Kyle Ferchen,Nathan Salomonis,H. Leighton Grimes	1
4	Slow cycling and durable Flt3+ progenitors contribute to hematopoiesis under native conditions 2023 ·The Journal of Experimental Medicine ·Michael Solomon,(unknown),Vinothini Govindarajah,(unknown),(unknown),(unknown),(unknown),(unknown),Marie–Dominique Filippi,José A. Cancelas,Nathan Salomonis,H. Leighton Grimes,Damien Reynaud	2
5	Population-level single-cell genomics reveals conserved gene programs in systemic juvenile idiopathic arthritis 2023 ·Journal of Clinical Investigation ·(unknown),(unknown),(unknown),Elizabeth Baker,Kashish Chetal,Daniel Schnell,Scott Canna,Alexei A. Grom,Nathan Salomonis,Grant S. Schulert	3
6	Sinus venosus adaptation models prolonged cardiovascular disease and reveals insights into evolutionary transitions of the vertebrate heart 2023 ·Nature Communications ·(unknown),Enrico D’Aniello,(unknown),(unknown),Ronald J. Vagnozzi,Hee‐Woong Lim,Nathan Salomonis,Joshua S. Waxman	2
7	The balance between protective and pathogenic immune responses to pneumonia in the neonatal lung is enforced by gut microbiota 2022 ·Science Translational Medicine ·(unknown),Shelby Steinmeyer,(unknown),Laura S. Peterson,(unknown),Jerilyn K. Gray,Ian Lewkowich,Yan Xu,Yina Du,Minzhe Guo,James L. Wynn,William J. Zacharias,Nathan Salomonis,Lisa A. Miller,Claire Chougnet,Dennis J. Hartigan-O’Connor,Hitesh Deshmukh	24
8	DeepImmuno: deep learning-empowered prediction and generation of immunogenic peptides for T-cell immunity 2021 ·Briefings in Bioinformatics ·Guangyuan Li,(unknown),V. B. Surya Prasath,Yizhao Ni,Nathan Salomonis	87
9	IFN-γ is essential for alveolar macrophage–driven pulmonary inflammation in macrophage activation syndrome 2021 ·JCI Insight ·(unknown),Nathan Salomonis,(unknown),(unknown),(unknown),Alexei A. Grom,Sherry Thornton,Michael B. Jordan,Kathryn A. Wikenheiser‐Brokamp,Grant S. Schulert	25
10	Resolving single-cell heterogeneity from hundreds of thousands of cells through sequential hybrid clustering and NMF 2020 ·Bioinformatics ·Meenakshi Venkatasubramanian,Kashish Chetal,Daniel Schnell,Gowtham Atluri,Nathan Salomonis	40
11	Pbx4 limits heart size and fosters arch artery formation by partitioning second heart field progenitors and restricting proliferation 2020 ·Development ·(unknown),Kelsey Linstrum,(unknown),Kashish Chetal,Nathan Salomonis,Joshua S. Waxman	11
12	FOXO activity adaptation safeguards the hematopoietic stem cell compartment in hyperglycemia 2020 ·Blood Advances ·Vinothini Govindarajah,Jung-Mi Lee,Michael Solomon,(unknown),Ramesh C. Nayak,Kalpana Nattamai,Hartmut Geiger,Nathan Salomonis,José A. Cancelas,Damien Reynaud	9
13	Aging Human Hematopoietic Stem Cells Manifest Profound Epigenetic Reprogramming of Enhancers That May Predispose to Leukemia 2019 ·Cancer Discovery ·Emmalee R. Adelman,(unknown),Alejandro Roisman,André Olsson,Antonio Colaprico,Tingting Qin,R. Coleman Lindsley,Rafael Bejar,Nathan Salomonis,H. Leighton Grimes,María E. Figueroa	136
14	cellHarmony: cell-level matching and holistic comparison of single-cell transcriptomes 2019 ·Nucleic Acids Research ·Erica A. K. DePasquale,Daniel Schnell,Phillip J. Dexheimer,Kyle Ferchen,Stuart Hay,Kashish Chetal,Íñigo Valiente-Alandí,Burns C. Blaxall,H. Leighton Grimes,Nathan Salomonis	42
15	PHIP as a therapeutic target for driver-negative subtypes of melanoma, breast, and lung cancer 2018 ·Proceedings of the National Academy of Sciences ·David de Semir,Vladimir Bezrookove,Mehdi Nosrati,Altaf A. Dar,(unknown),(unknown),(unknown),Meenakshi Venkatasubramanian,James R. Miller,Pierre‐Yves Desprez,Sean D. McAllister,Liliana Soroceanu,Robert J. Debs,Nathan Salomonis,Dirk Schadendorf,James E. Cleaver,Mohammed Kashani–Sabet	16
16	miR-196b target screen reveals mechanisms maintaining leukemia stemness with therapeutic potential 2018 ·The Journal of Experimental Medicine ·Sara E. Meyer,David E. Muench,Andrew M. Rogers,(unknown),(unknown),Eric O’Brien,John P. Perentesis,John G. Doench,Ashish Lal,Patrick J. Morris,Craig J. Thomas,Judy Lieberman,Edwina McGlinn,Bruce J. Aronow,Nathan Salomonis,H. Leighton Grimes	20
17	DNMT3A Haploinsufficiency Transforms FLT3 ITD Myeloproliferative Disease into a Rapid, Spontaneous, and Fully Penetrant Acute Myeloid Leukemia 2016 ·Cancer Discovery ·Sara E. Meyer,Tingting Qin,David E. Muench,(unknown),Meenakshi Venkatasubramanian,(unknown),(unknown),Steven D. Gore,Ruud Delwel,Elisabeth Paietta,Martin S. Tallman,Hugo F. Fernández,Ari Melnick,Michelle M. Le Beau,Scott C. Kogan,Nathan Salomonis,María E. Figueroa,H. Leighton Grimes	70
18	Analyzing alternative splicing data of splice junction arrays from Parkinson patients' leukocytes before and after deep brain stimulation as compared with control donors 2015 ·Genomics Data ·Lilach Soreq,Nathan Salomonis,Zvi Israel,Hagai Bergman,Hermona Soreq	7
19	The Identification of Novel Potential Injury Mechanisms and Candidate Biomarkers in Renal Allograft Rejection by Quantitative Proteomics 2013 ·Molecular & Cellular Proteomics ·Tara K. Sigdel,Nathan Salomonis,Carrie Nicora,Soyoung Ryu,Jintang He,(unknown),Danny Orton,Ronald Moore,(unknown),Hong Dai,(unknown),Wenzhong Xiao,Richard Smith,Weijun Qian,David Camp,Minnie Sarwal	69
20	Alternative splicing regulates mouse embryonic stem cell pluripotency and differentiation 2010 ·Proceedings of the National Academy of Sciences ·Nathan Salomonis,Christopher R. Schlieve,Laura Pereira,Christine Wahlquist,Alexandre R. Colas,Alexander C. Zambon,Karen Vranizan,Matthew Spindler,Alexander R. Pico,Melissa Cline,Tyson A. Clark,Alan J. Williams,John E. Blume,Eva Samal,Mark Mercola,Bradley J. Merrill,Bruce R. Conklin	175

About Nathan Salomonis

Nathan Salomonis is a scholar working on Hematology, Transplantation and Immunology, having authored 129 papers that have together received 7.1k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (21 papers), RNA Research and Splicing (21 papers) and Immune Cell Function and Interaction (15 papers). The work is most often cited by research in Transplantation (215 citations), Hematology (781 citations) and Immunology (1.4k citations). Nathan Salomonis has collaborated with scholars based in United States, China and Israel. Frequent co-authors include Bruce R. Conklin, Karen Vranizan, H. Leighton Grimes, Scott W Doniger, Kam D Dahlquist, Kashish Chetal, André Olsson, Meenakshi Venkatasubramanian, Alexander C. Zambon and Harinder Singh. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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