Connor Ludwig

2.5k total citations
10 papers, 832 citations indexed

About

Connor Ludwig is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Immunology. According to data from OpenAlex, Connor Ludwig has authored 10 papers receiving a total of 832 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Immunology. Recurrent topics in Connor Ludwig's work include Genomics and Chromatin Dynamics (4 papers), CRISPR and Genetic Engineering (3 papers) and Epigenetics and DNA Methylation (2 papers). Connor Ludwig is often cited by papers focused on Genomics and Chromatin Dynamics (4 papers), CRISPR and Genetic Engineering (3 papers) and Epigenetics and DNA Methylation (2 papers). Connor Ludwig collaborates with scholars based in United States, Russia and China. Connor Ludwig's co-authors include Michael E. Ward, Lacramioara Bintu, Li Gan, Mehrnoosh Abshari, Ruilin Tian, Anika V. Prabhu, Rajan Patel, Matthew T. Laurie, Michael S. Fernandopulle and Martin Kampmann and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

Connor Ludwig

10 papers receiving 830 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Connor Ludwig United States	9	533	177	140	121	83	10	832
Nikky Corthout Belgium	15	411 0.8×	121 0.7×	159 1.1×	155 1.3×	45 0.5×	27	845
Tania López-Hernández Spain	16	636 1.2×	171 1.0×	60 0.4×	220 1.8×	51 0.6×	20	834
Robin W. Yeo United States	8	511 1.0×	101 0.6×	165 1.2×	93 0.8×	44 0.5×	9	852
Taehwan Shin United States	7	524 1.0×	56 0.3×	202 1.4×	108 0.9×	23 0.3×	7	710
Lauren Fong United States	8	743 1.4×	62 0.4×	255 1.8×	212 1.8×	30 0.4×	14	1.0k
Bonnie Cooper United States	8	503 0.9×	103 0.6×	157 1.1×	123 1.0×	46 0.6×	12	1.1k
Chris McKinnon United Kingdom	11	457 0.9×	133 0.8×	111 0.8×	244 2.0×	53 0.6×	17	873
Hanseul Park South Korea	13	595 1.1×	70 0.4×	95 0.7×	145 1.2×	30 0.4×	29	887
Lesley Chaboub United States	12	263 0.5×	145 0.8×	51 0.4×	93 0.8×	48 0.6×	15	536
Ferdi Rıdvan Kiral United States	11	242 0.5×	81 0.5×	67 0.5×	160 1.3×	46 0.6×	15	522

Countries citing papers authored by Connor Ludwig

Since Specialization

Citations

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

Fields of papers citing papers by Connor Ludwig

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Connor Ludwig

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

All Works

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10 of 10 papers shown

Ludwig, Connor, et al.. (2024). The H3.3K36M oncohistone disrupts the establishment of epigenetic memory through loss of DNA methylation. Molecular Cell. 84(20). 3899–3915.e7. 2 indexed citations

Mukund, Adi, Josh Tycko, Stephanie A. Robinson, et al.. (2023). High-throughput functional characterization of combinations of transcriptional activators and repressors. Cell Systems. 14(9). 746–763.e5. 17 indexed citations

DelRosso, Nicole, Josh Tycko, Peter Suzuki, et al.. (2023). Large-scale mapping and mutagenesis of human transcriptional effector domains. Nature. 616(7956). 365–372. 72 indexed citations

Ludwig, Connor, David W. Morgens, Josh Tycko, et al.. (2023). High-throughput discovery and characterization of viral transcriptional effectors in human cells. Cell Systems. 14(6). 482–500.e8. 14 indexed citations

Ludwig, Connor, et al.. (2022). Dynamic spreading of chromatin-mediated gene silencing and reactivation between neighboring genes in single cells. eLife. 11. 16 indexed citations

Tian, Ruilin, Connor Ludwig, Matthew T. Laurie, et al.. (2019). CRISPR Interference-Based Platform for Multimodal Genetic Screens in Human iPSC-Derived Neurons. Neuron. 104(2). 239–255.e12. 274 indexed citations

Ludwig, Connor & Lacramioara Bintu. (2019). Mapping chromatin modifications at the single cell level. Development. 146(12). 40 indexed citations

Sayed, Faten A., Maria A. Telpoukhovskaia, Lay Kodama, et al.. (2018). Differential effects of partial and complete loss of TREM2 on microglial injury response and tauopathy. Proceedings of the National Academy of Sciences. 115(40). 10172–10177. 126 indexed citations

Krencik, Robert, Kyounghee Seo, Jessy V. van Asperen, et al.. (2017). Systematic Three-Dimensional Coculture Rapidly Recapitulates Interactions between Human Neurons and Astrocytes. Stem Cell Reports. 9(6). 1745–1753. 64 indexed citations

10.

Wang, Chao, Michael E. Ward, Robert Y. Chen, et al.. (2017). Scalable Production of iPSC-Derived Human Neurons to Identify Tau-Lowering Compounds by High-Content Screening. Stem Cell Reports. 9(4). 1221–1233. 207 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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