Michael C. Oldham

10.8k total citations · 4 hit papers
44 papers, 6.4k citations indexed

About

Michael C. Oldham is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Michael C. Oldham has authored 44 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 12 papers in Cancer Research and 8 papers in Genetics. Recurrent topics in Michael C. Oldham's work include MicroRNA in disease regulation (9 papers), Bioinformatics and Genomic Networks (9 papers) and RNA Research and Splicing (9 papers). Michael C. Oldham is often cited by papers focused on MicroRNA in disease regulation (9 papers), Bioinformatics and Genomic Networks (9 papers) and RNA Research and Splicing (9 papers). Michael C. Oldham collaborates with scholars based in United States, China and United Kingdom. Michael C. Oldham's co-authors include Daniel H. Geschwind, Steve Horvath, Peter Langfelder, Rui Luo, Geneviève Konopka, Arnold R. Kriegstein, Jeremy A. Miller, Kazuya Iwamoto, Tadafumi Kato and Kevin W. Kelley and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Michael C. Oldham

43 papers receiving 6.4k 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.

Human hippocampal neurogenesis drops sharply in children to undetectable levels in adults

2018 967 citations Mercedes F. Paredes, Kevin W. Kelley et al. profile →
Is My Network Module Preserved and Reproducible?

2011 657 citations Peter Langfelder, Michael C. Oldham et al. profile →
Molecular Identity of Human Outer Radial Glia during Cortical Development

2015 556 citations Michael C. Oldham, Aarón Díaz et al. profile →
Functional organization of the transcriptome in human brain

2008 547 citations Michael C. Oldham, Geneviève Konopka et al. Nature Neuroscience profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael C. Oldham United States	31	3.9k	1.2k	1.0k	824	811	44	6.4k
Joseph D. Dougherty United States	39	3.6k 0.9×	729 0.6×	935 0.9×	1.0k 1.3×	498 0.6×	134	5.8k
Tarik F. Haydar United States	37	3.9k 1.0×	1.8k 1.5×	937 0.9×	1.7k 2.0×	673 0.8×	57	6.9k
Kanar Alkass Sweden	27	3.5k 0.9×	1.8k 1.5×	541 0.5×	1.1k 1.4×	430 0.5×	42	7.3k
Simone Codeluppi Sweden	23	4.6k 1.2×	642 0.5×	500 0.5×	1.2k 1.5×	669 0.8×	32	6.9k
Amit Zeisel Israel	23	5.1k 1.3×	718 0.6×	446 0.4×	1.2k 1.5×	952 1.2×	38	7.6k
Kristen Brennand United States	38	4.4k 1.1×	741 0.6×	1.4k 1.3×	1.1k 1.3×	398 0.5×	106	6.1k
Matthias Groszer United States	31	3.1k 0.8×	892 0.7×	915 0.9×	842 1.0×	724 0.9×	37	5.3k
Gioele La Manno Switzerland	19	5.1k 1.3×	755 0.6×	402 0.4×	1.2k 1.5×	919 1.1×	29	7.5k
Frederick J. Livesey United Kingdom	42	6.2k 1.6×	1.4k 1.2×	907 0.9×	2.0k 2.5×	955 1.2×	73	8.3k
Yi Eve Sun United States	36	6.9k 1.7×	1.9k 1.6×	2.2k 2.1×	1.7k 2.0×	1.1k 1.3×	85	9.6k

Countries citing papers authored by Michael C. Oldham

Since Specialization

Citations

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

Fields of papers citing papers by Michael C. Oldham

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael C. Oldham

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

Schupp, Patrick G., Samuel J. Shelton, Brett Johnson, et al.. (2024). Deconstructing Intratumoral Heterogeneity through Multiomic and Multiscale Analysis of Serial Sections. Cancers. 16(13). 2429–2429. 2 indexed citations

Oldham, Michael C., Charles S. Brennan, Anil D. Pathak, et al.. (2024). 433P Therapeutic potential of ENTR-601-44, an Endosomal Escape Vehicle (EEV™) - Oligonucleotide Conjugate for the treatment of exon 44 skip amenable DMD. Neuromuscular Disorders. 43. 104441.304–104441.304. 2 indexed citations

Tanabe, Koji, Hiroko Nobuta, Nan Yang, et al.. (2022). Generation of functional human oligodendrocytes from dermal fibroblasts by direct lineage conversion. Development. 149(20). 11 indexed citations

Huie, J. Russell, Adam R. Ferguson, Nikos Kyritsis, et al.. (2021). Machine intelligence identifies soluble TNFa as a therapeutic target for spinal cord injury. Scientific Reports. 11(1). 3442–3442. 11 indexed citations

Lang, Ursula E., Miroslav Hejna, Samuel J. Shelton, et al.. (2019). MicroRNA Ratios Distinguish Melanomas from Nevi. Journal of Investigative Dermatology. 140(1). 164–173.e7. 31 indexed citations

Munji, Roeben N., Allison Soung, Geoffrey Weiner, et al.. (2019). Profiling the mouse brain endothelial transcriptome in health and disease models reveals a core blood–brain barrier dysfunction module. Nature Neuroscience. 22(11). 1892–1902. 211 indexed citations

Bartáková, Alena, Geoffrey Weiner, Michael C. Oldham, et al.. (2018). Endothelial cell specific gene expression changes in Oxygen Induced Retinopathy (OIR). Investigative Ophthalmology & Visual Science. 59(9). 5470–5470. 1 indexed citations

Kelley, Kevin W., Hiromi Nakao-Inoue, Anna V. Molofsky, & Michael C. Oldham. (2018). Variation among intact tissue samples reveals the core transcriptional features of human CNS cell classes. Nature Neuroscience. 21(9). 1171–1184. 115 indexed citations

Mitra, Ileena, Christine Ladd‐Acosta, Lisa Croen, et al.. (2016). Pleiotropic Mechanisms Indicated for Sex Differences in Autism. PLoS Genetics. 12(11). e1006425–e1006425. 56 indexed citations

10.

Hwang, William W., Ryan Salinas, Jason J. Siu, et al.. (2014). Distinct and separable roles for EZH2 in neurogenic astroglia. eLife. 3. e02439–e02439. 61 indexed citations

11.

Parchem, Ronald J., et al.. (2014). Two miRNA Clusters Reveal Alternative Paths in Late-Stage Reprogramming. Cell stem cell. 14(5). 617–631. 67 indexed citations

12.

Potts, Matthew B., Jason J. Siu, James D. Price, et al.. (2014). Analysis of Mll1 Deficiency Identifies Neurogenic Transcriptional Modules and Brn4 as a Factor for Direct Astrocyte-to-Neuron Reprogramming. Neurosurgery. 75(4). 472–482. 23 indexed citations

13.

Han, Kihoon, Vincenzo A. Gennarino, Yoontae Lee, et al.. (2013). Human-specific regulation of MeCP2 levels in fetal brains by microRNA miR-483-5p. Genes & Development. 27(5). 485–490. 86 indexed citations

14.

Ramos, Alexander, Aarón Díaz, Abhinav Nellore, et al.. (2013). Integration of Genome-wide Approaches Identifies lncRNAs of Adult Neural Stem Cells and Their Progeny In Vivo. Cell stem cell. 12(5). 616–628. 198 indexed citations

15.

Oldham, Michael C., Geneviève Konopka, Kazuya Iwamoto, et al.. (2008). Functional organization of the transcriptome in human brain. Nature Neuroscience. 11(11). 1271–1282. 547 indexed citations breakdown →

16.

Spiteri, Elizabeth, Geneviève Konopka, Giovanni Coppola, et al.. (2007). Identification of the Transcriptional Targets of FOXP2, a Gene Linked to Speech and Language, in Developing Human Brain. The American Journal of Human Genetics. 81(6). 1144–1157. 211 indexed citations

17.

Oldham, Michael C., Steve Horvath, & Daniel H. Geschwind. (2006). Conservation and evolution of gene coexpression networks in human and chimpanzee brains. Proceedings of the National Academy of Sciences. 103(47). 17973–17978. 422 indexed citations

18.

Oldham, Michael C. & Daniel H. Geschwind. (2006). Deconstructing language by comparative gene expression: from neurobiology to microarray. Genes Brain & Behavior. 5(S1). 54–63. 8 indexed citations

19.

Oldham, Michael C. & Daniel H. Geschwind. (2005). Evolutionary Genetics: The human brain – adaptation at many levels. European Journal of Human Genetics. 13(5). 520–522. 4 indexed citations

20.

Preuss, Todd M., Mario Cáceres, Michael C. Oldham, & Daniel H. Geschwind. (2004). Human brain evolution: insights from microarrays. Nature Reviews Genetics. 5(11). 850–860. 154 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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