Timothy Durham

9.7k total citations · 1 hit paper
15 papers, 3.1k citations indexed

About

Timothy Durham is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Timothy Durham has authored 15 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 3 papers in Genetics and 3 papers in Plant Science. Recurrent topics in Timothy Durham's work include Epigenetics and DNA Methylation (6 papers), Genomics and Chromatin Dynamics (5 papers) and Mitochondrial Function and Pathology (3 papers). Timothy Durham is often cited by papers focused on Epigenetics and DNA Methylation (6 papers), Genomics and Chromatin Dynamics (5 papers) and Mitochondrial Function and Pathology (3 papers). Timothy Durham collaborates with scholars based in United States, United Kingdom and China. Timothy Durham's co-authors include Charles B. Epstein, Michael J. Coyne, Xiaolan Zhang, Noam Shoresh, B Bernstein, Robbyn Issner, Jason Ernst, Manolis Kellis, Tarjei S. Mikkelsen and Pouya Kheradpour and has published in prestigious journals such as Nature, Cell and Nature Communications.

In The Last Decade

Timothy Durham

15 papers receiving 3.0k 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.

Mapping and analysis of chromatin state dynamics in nine human cell types

2011 2.0k citations Jason Ernst, Pouya Kheradpour et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Timothy Durham United States	12	2.7k	544	379	221	180	15	3.1k
Robbyn Issner United States	12	2.8k 1.0×	564 1.0×	377 1.0×	201 0.9×	209 1.2×	16	3.2k
Ivan V. Kulakovskiy Russia	25	2.1k 0.8×	369 0.7×	330 0.9×	224 1.0×	216 1.2×	76	2.6k
Alexias Safi United States	20	2.2k 0.8×	590 1.1×	289 0.8×	148 0.7×	168 0.9×	36	2.6k
Robin Andersson Denmark	30	2.4k 0.9×	470 0.9×	473 1.2×	311 1.4×	130 0.7×	59	2.9k
David Valle‐García United States	20	2.2k 0.8×	784 1.4×	402 1.1×	257 1.2×	153 0.8×	35	3.0k
Achim Breiling Germany	19	2.1k 0.8×	350 0.6×	422 1.1×	181 0.8×	291 1.6×	27	2.5k
Samantha Kuan United States	8	2.4k 0.9×	481 0.9×	323 0.9×	244 1.1×	125 0.7×	8	2.6k
Markus Schueler Germany	18	2.3k 0.8×	425 0.8×	292 0.8×	191 0.9×	107 0.6×	30	2.7k
Yutao Fu United States	15	3.8k 1.4×	612 1.1×	473 1.2×	373 1.7×	305 1.7×	24	4.2k
Thierry Forné France	21	2.6k 0.9×	864 1.6×	531 1.4×	200 0.9×	132 0.7×	46	2.9k

Countries citing papers authored by Timothy Durham

Since Specialization

Citations

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

Fields of papers citing papers by Timothy Durham

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Timothy Durham

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

All Works

Sort: Min cites: Since: Top N: Style:

15 of 15 papers shown

Marutani, Eizo, María Miranda, Timothy Durham, et al.. (2025). Hypoxia ameliorates neurodegeneration and movement disorder in a mouse model of Parkinson’s disease. Nature Neuroscience. 28(9). 1858–1867. 1 indexed citations

Kotrys, Anna V., et al.. (2024). Single-cell analysis reveals context-dependent, cell-level selection of mtDNA. Nature. 629(8011). 458–466. 20 indexed citations

Rogers, Robert S., Rohit Sharma, Owen S. Skinner, et al.. (2024). Circulating N-lactoyl-amino acids and N-formyl-methionine reflect mitochondrial dysfunction and predict mortality in septic shock. Metabolomics. 20(2). 36–36. 14 indexed citations

Rogers, Robert S., Hong Wang, Timothy Durham, et al.. (2023). Hypoxia extends lifespan and neurological function in a mouse model of aging. PLoS Biology. 21(5). e3002117–e3002117. 22 indexed citations

Gupta, Rahul, Masahiro Kanai, Timothy Durham, et al.. (2023). Nuclear genetic control of mtDNA copy number and heteroplasmy in humans. Nature. 620(7975). 839–848. 84 indexed citations

Durham, Timothy, Riza M. Daza, Louis Gevirtzman, et al.. (2021). Comprehensive characterization of tissue-specific chromatin accessibility in L2 Caenorhabditis elegans nematodes. Genome Research. 31(10). 1952–1969. 14 indexed citations

Schreiber, Jacob, Timothy Durham, Jeffrey A. Bilmes, & William Stafford Noble. (2020). Avocado: a multi-scale deep tensor factorization method learns a latent representation of the human epigenome. Genome biology. 21(1). 63 indexed citations

Schreiber, Jacob, Timothy Durham, William Stafford Noble, & Jeffrey A. Bilmes. (2020). Avocado. 1–1. 1 indexed citations

Qiu, Xiaojie, Li Wang, Bingcheng Ren, et al.. (2020). Inferring Causal Gene Regulatory Networks from Coupled Single-Cell Expression Dynamics Using Scribe. Cell Systems. 10(3). 265–274.e11. 100 indexed citations

10.

Durham, Timothy, Maxwell W. Libbrecht, James Jeffry Howbert, Jeff Bilmes, & William Stafford Noble. (2018). PREDICTD PaRallel Epigenomics Data Imputation with Cloud-based Tensor Decomposition. Nature Communications. 9(1). 1402–1402. 51 indexed citations

11.

Klein, Jason C., Aidan Keith, Vikram Agarwal, Timothy Durham, & Jay Shendure. (2018). Functional characterization of enhancer evolution in the primate lineage. Genome biology. 19(1). 99–99. 40 indexed citations

12.

Zhu, Jiang, Mazhar Adli, James Zou, et al.. (2013). Genome-wide Chromatin State Transitions Associated with Developmental and Environmental Cues. Cell. 152(3). 642–654. 380 indexed citations

13.

Ram, Oren, Alon Goren, Ido Amit, et al.. (2011). Combinatorial Patterning of Chromatin Regulators Uncovered by Genome-wide Location Analysis in Human Cells. Cell. 147(7). 1628–1639. 250 indexed citations

14.

Ernst, Jason, Pouya Kheradpour, Tarjei S. Mikkelsen, et al.. (2011). Mapping and analysis of chromatin state dynamics in nine human cell types. Nature. 473(7345). 43–49. 2019 indexed citations breakdown →

15.

Ting, Claire S., et al.. (2009). Minimal genomes, maximal productivity: comparative genomics of the photosystem and light-harvesting complexes in the marine cyanobacterium, Prochlorococcus. Photosynthesis Research. 101(1). 1–19. 7 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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