Michael R. Erdos

39.0k total citations · 3 hit papers
72 papers, 10.0k citations indexed

About

Michael R. Erdos is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Michael R. Erdos has authored 72 papers receiving a total of 10.0k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Molecular Biology, 17 papers in Genetics and 11 papers in Oncology. Recurrent topics in Michael R. Erdos's work include Nuclear Structure and Function (25 papers), RNA Research and Splicing (20 papers) and Genomics and Chromatin Dynamics (15 papers). Michael R. Erdos is often cited by papers focused on Nuclear Structure and Function (25 papers), RNA Research and Splicing (20 papers) and Genomics and Chromatin Dynamics (15 papers). Michael R. Erdos collaborates with scholars based in United States, Sweden and United Kingdom. Michael R. Erdos's co-authors include Francis S. Collins, Maria Eriksson, Leslie B. Gordon, Kan Cao, Michael Boehnke, Laura J. Scott, Robert D. Goldman, Anne E. Goldman, Dale K. Shumaker and Satya Khuon and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Michael R. Erdos

69 papers receiving 9.8k 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.

Recurrent de novo point mutations in lamin A cause Hutchinson–Gilford progeria syndrome

2003 1.6k citations Maria Eriksson, W. Ted Brown et al. Nature profile →
Accumulation of mutant lamin A causes progressive changes in nuclear architecture in Hutchinson–Gilford progeria syndrome

2004 868 citations Robert D. Goldman, Dale K. Shumaker et al. Proceedings of the National Academy of Sciences profile →
Mutant nuclear lamin A leads to progressive alterations of epigenetic control in premature aging

2006 568 citations Dale K. Shumaker, Thomas Dechat et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael R. Erdos United States	45	7.8k	1.8k	1.1k	831	804	72	10.0k
Or Gozani United States	57	9.6k 1.2×	798 0.4×	1.2k 1.0×	697 0.8×	933 1.2×	108	11.7k
Nicholas C. Popescu United States	49	5.6k 0.7×	948 0.5×	1.9k 1.7×	1.1k 1.3×	628 0.8×	104	8.6k
Alexei Protopopov United States	41	5.6k 0.7×	757 0.4×	1.4k 1.2×	972 1.2×	744 0.9×	88	8.0k
Orly Elpeleg Israel	56	7.0k 0.9×	1.6k 0.9×	464 0.4×	728 0.9×	969 1.2×	244	10.4k
Luisa Lanfrancone Italy	38	4.9k 0.6×	530 0.3×	1.6k 1.4×	894 1.1×	1.2k 1.5×	95	7.8k
Vuk Stambolic Canada	44	8.6k 1.1×	769 0.4×	2.5k 2.3×	879 1.1×	1.0k 1.3×	85	10.8k
Eugenio Santos Spain	45	5.8k 0.7×	1.0k 0.6×	2.2k 1.9×	377 0.5×	802 1.0×	154	8.3k
Andrew R. Tee United Kingdom	39	6.6k 0.8×	623 0.3×	860 0.8×	1.5k 1.9×	917 1.1×	69	9.1k
Óscar Fernández-Capetillo Spain	52	10.7k 1.4×	1.2k 0.7×	3.9k 3.4×	1.2k 1.4×	696 0.9×	108	12.7k
Paula M. Vertino United States	49	7.7k 1.0×	1.4k 0.8×	1.4k 1.2×	304 0.4×	548 0.7×	105	9.5k

Countries citing papers authored by Michael R. Erdos

Since Specialization

Citations

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

Fields of papers citing papers by Michael R. Erdos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael R. Erdos. 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 Michael R. Erdos. The network helps show where Michael R. Erdos may publish in the future.

Co-authorship network of co-authors of Michael R. Erdos

This figure shows the co-authorship network connecting the top 25 collaborators of Michael R. Erdos. A scholar is included among the top collaborators of Michael R. Erdos 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 Michael R. Erdos. Michael R. Erdos 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

Cabral, Wayne A., Urraca Tavarez, Michael R. Erdos, et al.. (2024). Angiopoietin‐2 reverses endothelial cell dysfunction in progeria vasculature. Aging Cell. 24(2). e14375–e14375. 5 indexed citations

Bonnycastle, Lori L., Amy J. Swift, Catherine C. Robertson, et al.. (2024). Generation of Human Isogenic Induced Pluripotent Stem Cell Lines with CRISPR Prime Editing. The CRISPR Journal. 7(1). 53–67. 5 indexed citations

Taylor, Henry J., Yu-Han Hung, Narisu Narisu, et al.. (2023). Human pancreatic islet microRNAs implicated in diabetes and related traits by large-scale genetic analysis. Proceedings of the National Academy of Sciences. 120(7). e2206797120–e2206797120. 21 indexed citations

Cabral, Wayne A., Masahiko Terajima, Urraca Tavarez, et al.. (2023). Bone dysplasia in Hutchinson‐Gilford progeria syndrome is associated with dysregulated differentiation and function of bone cell populations. Aging Cell. 22(9). e13903–e13903. 6 indexed citations

Hudaiberdiev, Sanjarbek, D. Leland Taylor, Wei Song, et al.. (2023). Modeling islet enhancers using deep learning identifies candidate causal variants at loci associated with T2D and glycemic traits. Proceedings of the National Academy of Sciences. 120(35). e2206612120–e2206612120. 5 indexed citations

Varshney, Arushi, Yasuhiro Kyono, Michael R. Erdos, et al.. (2021). A Transcription Start Site Map in Human Pancreatic Islets Reveals Functional Regulatory Signatures. Diabetes. 70(7). 1581–1591. 4 indexed citations

Zou, Luli S., Michael R. Erdos, D. Leland Taylor, et al.. (2018). BoostMe accurately predicts DNA methylation values in whole-genome bisulfite sequencing of multiple human tissues. BMC Genomics. 19(1). 390–390. 35 indexed citations

Bar, Daniel Z., et al.. (2017). Biotinylation by antibody recognition—a method for proximity labeling. Nature Methods. 15(2). 127–133. 112 indexed citations

Vahedi, Golnaz, Yuka Kanno, Yasuko Furumoto, et al.. (2015). Super-enhancers delineate disease-associated regulatory nodes in T cells. Nature. 520(7548). 558–562. 271 indexed citations

10.

McCord, Rachel Patton, Ashley Nazario-Toole, Haoyue Zhang, et al.. (2012). Correlated alterations in genome organization, histone methylation, and DNA–lamin A/C interactions in Hutchinson-Gilford progeria syndrome. Genome Research. 23(2). 260–269. 239 indexed citations

11.

Cao, Kan, Dina A. Faddah, Julia E. Kieckhaefer, et al.. (2011). Progerin and telomere dysfunction collaborate to trigger cellular senescence in normal human fibroblasts. Journal of Clinical Investigation. 121(7). 2833–2844. 233 indexed citations

12.

Lee, Bum-Kyu, Lingyun Song, Zheng Liu, et al.. (2010). Heritable Individual-Specific and Allele-Specific Chromatin Signatures in Humans. Science. 328(5975). 235–239. 233 indexed citations

13.

Stitzel, Michael L., Praveen Sethupathy, Daniel S. Pearson, et al.. (2010). Global Epigenomic Analysis of Primary Human Pancreatic Islets Provides Insights into Type 2 Diabetes Susceptibility Loci. Cell Metabolism. 12(5). 443–455. 136 indexed citations

14.

Hanif, Mubashir, et al.. (2008). Targeted transgenic expression of the mutation causing Hutchinson-Gilford progeria syndrome leads to proliferative and degenerative epidermal disease. Journal of Cell Science. 121(7). 969–978. 66 indexed citations

15.

Cao, Kan, Brian C. Capell, Michael R. Erdos, Karima Djabali, & Francis S. Collins. (2007). A lamin A protein isoform overexpressed in Hutchinson–Gilford progeria syndrome interferes with mitosis in progeria and normal cells. Proceedings of the National Academy of Sciences. 104(12). 4949–4954. 198 indexed citations

16.

Shumaker, Dale K., Thomas Dechat, Alexander Kohlmaier, et al.. (2006). Mutant nuclear lamin A leads to progressive alterations of epigenetic control in premature aging. Proceedings of the National Academy of Sciences. 103(23). 8703–8708. 568 indexed citations breakdown →

17.

Mohlke, Karen L., Anne Jackson, Laura J. Scott, et al.. (2005). Mitochondrial polymorphisms and susceptibility to type 2 diabetes-related traits in Finns. Human Genetics. 118(2). 245–254. 63 indexed citations

18.

Eriksson, Maria, W. Ted Brown, Leslie B. Gordon, et al.. (2003). Recurrent de novo point mutations in lamin A cause Hutchinson–Gilford progeria syndrome. Nature. 423(6937). 293–298. 1613 indexed citations breakdown →

19.

Agarwal, Sunita, Siradanahalli C. Guru, Christina Heppner, et al.. (1999). Menin Interacts with the AP1 Transcription Factor JunD and Represses JunD-Activated Transcription. Cell. 96(1). 143–152. 479 indexed citations

20.

Tryphonas, Helen, M I Luster, Kimber L. White, et al.. (1991). Effects of PCB (aroclor® 1254) on non-specific immune parameters in rhesus (Macaca mulatta) monkeys. International Journal of Immunopharmacology. 13(6). 639–648. 44 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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