George C. Linderman

3.6k total citations · 2 hit papers
22 papers, 1.7k citations indexed

About

George C. Linderman is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Artificial Intelligence. According to data from OpenAlex, George C. Linderman has authored 22 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Cardiology and Cardiovascular Medicine and 5 papers in Artificial Intelligence. Recurrent topics in George C. Linderman's work include Single-cell and spatial transcriptomics (3 papers), Gene Regulatory Network Analysis (3 papers) and Blood Pressure and Hypertension Studies (3 papers). George C. Linderman is often cited by papers focused on Single-cell and spatial transcriptomics (3 papers), Gene Regulatory Network Analysis (3 papers) and Blood Pressure and Hypertension Studies (3 papers). George C. Linderman collaborates with scholars based in United States, Israel and China. George C. Linderman's co-authors include Yuval Kluger, Stefan Steinerberger, Manas Rachh, Jeremy G. Hoskins, Yuan Lu, Harlan M. Krumholz, Jiapeng Lu, Lixin Jiang, Erica S. Spatz and Xiaochen Wang and has published in prestigious journals such as The Lancet, Nucleic Acids Research and Nature Communications.

In The Last Decade

George C. Linderman

19 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.

Prevalence, awareness, treatment, and control of hypertension in China: data from 1·7 million adults in a population-based screening study (China PEACE Million Persons Project)

2017 783 citations Jiapeng Lu, Yuan Lu et al. The Lancet profile →
Fast interpolation-based t-SNE for improved visualization of single-cell RNA-seq data

2019 323 citations George C. Linderman, Manas Rachh et al. Nature Methods profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
George C. Linderman United States	11	510	443	203	166	132	22	1.7k
Xiaodong Zhuang China	23	541 1.1×	355 0.8×	124 0.6×	292 1.8×	218 1.7×	197	2.1k
Giorgio Fuíano Italy	32	405 0.8×	378 0.9×	124 0.6×	317 1.9×	65 0.5×	126	2.4k
Makoto Kawai Japan	22	819 1.6×	403 0.9×	87 0.4×	184 1.1×	80 0.6×	168	1.9k
Riyaz Patel United Kingdom	26	718 1.4×	303 0.7×	158 0.8×	332 2.0×	102 0.8×	64	2.0k
Damien Gruson Belgium	26	432 0.8×	652 1.5×	326 1.6×	405 2.4×	55 0.4×	182	2.9k
Hapizah Nawawi Malaysia	21	268 0.5×	144 0.3×	211 1.0×	383 2.3×	86 0.7×	155	1.6k
Qi Long United States	31	166 0.3×	668 1.5×	363 1.8×	216 1.3×	205 1.6×	191	3.3k
Gurpreet Singh Wander India	28	922 1.8×	375 0.8×	320 1.6×	407 2.5×	103 0.8×	163	2.8k
Sean Murphy United States	15	1.0k 2.1×	299 0.7×	114 0.6×	247 1.5×	60 0.5×	50	2.1k
Ping Zeng China	31	203 0.4×	984 2.2×	93 0.5×	166 1.0×	63 0.5×	168	3.2k

Countries citing papers authored by George C. Linderman

Since Specialization

Citations

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

Fields of papers citing papers by George C. Linderman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George C. Linderman

This figure shows the co-authorship network connecting the top 25 collaborators of George C. Linderman. A scholar is included among the top collaborators of George C. Linderman 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 George C. Linderman. George C. Linderman 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

Lu, Yuan, George C. Linderman, Shiwani Mahajan, et al.. (2023). Quantifying Blood Pressure Visit-to-Visit Variability in the Real-World Setting: A Retrospective Cohort Study. Circulation Cardiovascular Quality and Outcomes. 16(4). e009258–e009258. 17 indexed citations

Linderman, George C., Jun Zhao, Manolis Roulis, et al.. (2022). Zero-preserving imputation of single-cell RNA-seq data. Nature Communications. 13(1). 192–192. 125 indexed citations

Linderman, George C. & Stefan Steinerberger. (2022). Dimensionality Reduction via Dynamical Systems: The Case of t-SNE. SIAM Review. 64(1). 153–178. 5 indexed citations

Linderman, George C., et al.. (2021). Peri-procedural risk of retinal artery occlusion in patients undergoing transcatheter cardiac interventions in the United States. Investigative Ophthalmology & Visual Science. 62(8). 3187–3187.

Linderman, George C., Winston T. Lin, Robert D. Becher, et al.. (2021). Improved outcomes using laparoscopy for emergency colectomy after mitigating bias by negative control exposure analysis. Surgery. 171(2). 305–311. 2 indexed citations

Linderman, George C., Winston T. Lin, Robert D. Becher, et al.. (2021). Increased mortality with resuscitative endovascular balloon occlusion of the aorta only mitigated by strong unmeasured confounding: An expanded analysis using the National Trauma Data Bank. The Journal of Trauma: Injury, Infection, and Critical Care. 91(5). 790–797. 7 indexed citations

Mori, Makoto, Erica S. Spatz, Bobak J. Mortazavi, et al.. (2020). Protocol for project recovery after cardiac surgery: a single-center cohort study leveraging digital platform to characterise longitudinal patient-reported postoperative recovery patterns. BMJ Open. 10(9). e036959–e036959. 3 indexed citations

Jaffe, Ariel, Yuval Kluger, George C. Linderman, Gal Mishne, & Stefan Steinerberger. (2020). Randomized near-neighbor graphs, giant components and applications in data science. Journal of Applied Probability. 57(2). 458–476. 4 indexed citations

Linderman, George C., Manas Rachh, Jeremy G. Hoskins, Stefan Steinerberger, & Yuval Kluger. (2019). Fast interpolation-based t-SNE for improved visualization of single-cell RNA-seq data. Nature Methods. 16(3). 243–245. 323 indexed citations breakdown →

10.

Raredon, Micha Sam Brickman, Taylor Adams, Yasir Suhail, et al.. (2019). Single-cell connectomic analysis of adult mammalian lungs. Science Advances. 5(12). eaaw3851–eaaw3851. 116 indexed citations

11.

Li, Don T., George C. Linderman, Jonathan J. Cui, et al.. (2019). The Proximal Humeral Ossification System Improves Assessment of Maturity in Patients with Scoliosis. Journal of Bone and Joint Surgery. 101(20). 1868–1874. 39 indexed citations

12.

Levinsohn, Jonathan, George C. Linderman, Demeng Chen, et al.. (2018). Single-Cell Analysis Reveals a Hair Follicle Dermal Niche Molecular Differentiation Trajectory that Begins Prior to Morphogenesis. Developmental Cell. 48(1). 17–31.e6. 74 indexed citations

13.

Linderman, George C., Jiapeng Lu, Yuan Lu, et al.. (2018). Association of Body Mass Index With Blood Pressure Among 1.7 Million Chinese Adults. JAMA Network Open. 1(4). e181271–e181271. 96 indexed citations

14.

Lu, Jiapeng, Yuan Lu, Xiaochen Wang, et al.. (2017). Prevalence, awareness, treatment, and control of hypertension in China: data from 1·7 million adults in a population-based screening study (China PEACE Million Persons Project). The Lancet. 390(10112). 2549–2558. 783 indexed citations breakdown →

15.

Li, Huamin, George C. Linderman, Arthur Szlam, et al.. (2017). Algorithm 971. ACM Transactions on Mathematical Software. 43(3). 1–14. 30 indexed citations

16.

Wang, Zhao, Michael W. Jenkins, George C. Linderman, et al.. (2015). 3-D Stent Detection in Intravascular OCT Using a Bayesian Network and Graph Search. IEEE Transactions on Medical Imaging. 34(7). 1549–1561. 42 indexed citations

17.

Linderman, George C., Mark R. Chance, & Gürkan Bebek. (2012). MAGNET: MicroArray Gene expression and Network Evaluation Toolkit. Nucleic Acids Research. 40(W1). W152–W156. 9 indexed citations

18.

Linderman, George C., Vishal Patel, Mark R. Chance, & Gürkan Bebek. (2011). BiC: a web server for calculating bimodality of coexpression between gene and protein networks. Bioinformatics. 27(8). 1174–1175. 1 indexed citations

19.

Linderman, George C., et al.. (1999). Optimizer and parallel engine extensions for handling expensive methods based on large objects. 304–313.

20.

Panagos, Euthimios, et al.. (1996). A Teradata content-based multimedia object manager for massively parallel architectures. 68–78. 16 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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