Nathan Salomonis

13.3k total citations · 1 hit paper
129 papers, 7.1k citations indexed

About

Nathan Salomonis is a scholar working on Molecular Biology, Immunology and Hematology. According to data from OpenAlex, Nathan Salomonis has authored 129 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Molecular Biology, 37 papers in Immunology and 25 papers in Hematology. Recurrent topics in Nathan Salomonis's work include Single-cell and spatial transcriptomics (21 papers), RNA Research and Splicing (21 papers) and Immune Cell Function and Interaction (15 papers). Nathan Salomonis is often cited by papers focused on Single-cell and spatial transcriptomics (21 papers), RNA Research and Splicing (21 papers) and Immune Cell Function and Interaction (15 papers). Nathan Salomonis collaborates with scholars based in United States, China and Israel. Nathan Salomonis's 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 and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Nathan Salomonis

121 papers receiving 7.1k citations

Hit Papers

MAPPFinder: using Gene Ontology and GenMAPP to create a g... 2003 2026 2010 2018 2003 200 400 600

Peers

Nathan Salomonis
William B. Kiosses United States
Bo Porse Denmark
Madeleine E. Lemieux United States
Iain D. C. Fraser United States
Christian Rommel United States
Stephen E. Moss United Kingdom
William B. Kiosses United States
Nathan Salomonis
Citations per year, relative to Nathan Salomonis Nathan Salomonis (= 1×) peers William B. Kiosses

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

20 of 20 papers shown
1.
Ferchen, Kyle, Xuan Zhang, Guangyuan Li, et al.. (2025). A unified multimodal single-cell framework reveals a discrete state model of hematopoiesis in mice. Nature Immunology. 26(11). 2086–2099.
2.
Zhu, Xiaoqin, Michael A. Wyder, Nathan Salomonis, et al.. (2023). Repression of TRIM13 by chromatin assembly factor CHAF1B is critical for AML development. Blood Advances. 7(17). 4822–4837. 4 indexed citations
3.
Ferchen, Kyle, Nathan Salomonis, & H. Leighton Grimes. (2023). pyInfinityFlow: optimized imputation and analysis of high-dimensional flow cytometry data for millions of cells. Bioinformatics. 39(5). 1 indexed citations
4.
Solomon, Michael, Vinothini Govindarajah, Marie–Dominique Filippi, et al.. (2023). Slow cycling and durable Flt3+ progenitors contribute to hematopoiesis under native conditions. The Journal of Experimental Medicine. 221(1). 2 indexed citations
5.
Baker, Elizabeth, Kashish Chetal, Daniel Schnell, et al.. (2023). Population-level single-cell genomics reveals conserved gene programs in systemic juvenile idiopathic arthritis. Journal of Clinical Investigation. 133(22). 3 indexed citations
6.
D’Aniello, Enrico, et al.. (2023). Sinus venosus adaptation models prolonged cardiovascular disease and reveals insights into evolutionary transitions of the vertebrate heart. Nature Communications. 14(1). 5509–5509. 2 indexed citations
7.
Steinmeyer, Shelby, Laura S. Peterson, Jerilyn K. Gray, et al.. (2022). The balance between protective and pathogenic immune responses to pneumonia in the neonatal lung is enforced by gut microbiota. Science Translational Medicine. 14(649). eabl3981–eabl3981. 24 indexed citations
8.
Li, Guangyuan, et al.. (2021). DeepImmuno: deep learning-empowered prediction and generation of immunogenic peptides for T-cell immunity. Briefings in Bioinformatics. 22(6). 87 indexed citations
9.
Salomonis, Nathan, Alexei A. Grom, Sherry Thornton, et al.. (2021). IFN-γ is essential for alveolar macrophage–driven pulmonary inflammation in macrophage activation syndrome. JCI Insight. 6(17). 25 indexed citations
10.
Venkatasubramanian, Meenakshi, Kashish Chetal, Daniel Schnell, Gowtham Atluri, & Nathan Salomonis. (2020). Resolving single-cell heterogeneity from hundreds of thousands of cells through sequential hybrid clustering and NMF. Bioinformatics. 36(12). 3773–3780. 40 indexed citations
12.
Govindarajah, Vinothini, Jung-Mi Lee, Michael Solomon, et al.. (2020). FOXO activity adaptation safeguards the hematopoietic stem cell compartment in hyperglycemia. Blood Advances. 4(21). 5512–5526. 9 indexed citations
13.
Adelman, Emmalee R., Alejandro Roisman, André Olsson, et al.. (2019). Aging Human Hematopoietic Stem Cells Manifest Profound Epigenetic Reprogramming of Enhancers That May Predispose to Leukemia. Cancer Discovery. 9(8). 1080–1101. 136 indexed citations
14.
DePasquale, Erica A. K., Daniel Schnell, Phillip J. Dexheimer, et al.. (2019). cellHarmony: cell-level matching and holistic comparison of single-cell transcriptomes. Nucleic Acids Research. 47(21). e138–e138. 42 indexed citations
15.
Semir, David de, Vladimir Bezrookove, Mehdi Nosrati, et al.. (2018). PHIP as a therapeutic target for driver-negative subtypes of melanoma, breast, and lung cancer. Proceedings of the National Academy of Sciences. 115(25). E5766–E5775. 16 indexed citations
16.
Meyer, Sara E., David E. Muench, Andrew M. Rogers, et al.. (2018). miR-196b target screen reveals mechanisms maintaining leukemia stemness with therapeutic potential. The Journal of Experimental Medicine. 215(8). 2115–2136. 20 indexed citations
17.
Meyer, Sara E., Tingting Qin, David E. Muench, et al.. (2016). DNMT3A Haploinsufficiency Transforms FLT3 ITD Myeloproliferative Disease into a Rapid, Spontaneous, and Fully Penetrant Acute Myeloid Leukemia. Cancer Discovery. 6(5). 501–515. 70 indexed citations
18.
Soreq, Lilach, Nathan Salomonis, Zvi Israel, Hagai Bergman, & Hermona Soreq. (2015). Analyzing alternative splicing data of splice junction arrays from Parkinson patients' leukocytes before and after deep brain stimulation as compared with control donors. Genomics Data. 5. 340–343. 7 indexed citations
19.
Sigdel, Tara K., Nathan Salomonis, Carrie Nicora, et al.. (2013). The Identification of Novel Potential Injury Mechanisms and Candidate Biomarkers in Renal Allograft Rejection by Quantitative Proteomics. Molecular & Cellular Proteomics. 13(2). 621–631. 69 indexed citations
20.
Salomonis, Nathan, Christopher R. Schlieve, Laura Pereira, et al.. (2010). Alternative splicing regulates mouse embryonic stem cell pluripotency and differentiation. Proceedings of the National Academy of Sciences. 107(23). 10514–10519. 175 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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