David T. Madden

1.7k total citations · 1 hit paper
15 papers, 1.3k citations indexed

About

David T. Madden is a scholar working on Molecular Biology, Cell Biology and Epidemiology. According to data from OpenAlex, David T. Madden has authored 15 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Cell Biology and 4 papers in Epidemiology. Recurrent topics in David T. Madden's work include Cellular transport and secretion (4 papers), Pluripotent Stem Cells Research (3 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). David T. Madden is often cited by papers focused on Cellular transport and secretion (4 papers), Pluripotent Stem Cells Research (3 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). David T. Madden collaborates with scholars based in United States, Switzerland and Austria. David T. Madden's co-authors include Randy Schekman, Susan Hamamoto, Lelio Orci, Bruno Antonny, Judith Campisi, Marco Demaria, Ying Zou, Georgia Woods, Anand Rane and Amanda McQuade and has published in prestigious journals such as Nature Communications, The Journal of Cell Biology and PLoS ONE.

In The Last Decade

David T. Madden

15 papers receiving 1.3k 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.

Cellular Senescence Is Induced by the Environmental Neurotoxin Paraquat and Contributes to Neuropathology Linked to Parkinson’s Disease

2018 378 citations Shankar J. Chinta, Georgia Woods et al. Cell Reports profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David T. Madden United States	12	775	445	299	146	128	15	1.3k
Ruilin Tian China	14	1.1k 1.4×	273 0.6×	261 0.9×	93 0.6×	96 0.8×	30	1.5k
Stephen Wilson United States	14	630 0.8×	318 0.7×	299 1.0×	150 1.0×	97 0.8×	21	1.4k
Annette Füchtbauer Denmark	21	1.0k 1.3×	269 0.6×	270 0.9×	119 0.8×	82 0.6×	41	1.5k
Véronique Paquis‐Flucklinger France	27	2.0k 2.6×	356 0.8×	175 0.6×	190 1.3×	111 0.9×	88	2.5k
John F. Staropoli United States	18	975 1.3×	498 1.1×	728 2.4×	266 1.8×	72 0.6×	29	2.0k
Owen A. Brady United States	13	700 0.9×	327 0.7×	518 1.7×	108 0.7×	69 0.5×	14	1.7k
Rebeccah Riley United States	14	654 0.8×	172 0.4×	194 0.6×	203 1.4×	182 1.4×	16	1.4k
Roberta Tufi United Kingdom	15	592 0.8×	314 0.7×	156 0.5×	124 0.8×	156 1.2×	17	1.2k
Pavel Tsaytler Germany	7	693 0.9×	532 1.2×	175 0.6×	143 1.0×	26 0.2×	10	1.1k
Stéphanie Duguez France	24	1.4k 1.8×	298 0.7×	419 1.4×	193 1.3×	38 0.3×	45	1.8k

Countries citing papers authored by David T. Madden

Since Specialization

Citations

This map shows the geographic impact of David T. Madden'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 David T. Madden with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David T. Madden more than expected).

Fields of papers citing papers by David T. Madden

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David T. Madden. 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 David T. Madden. The network helps show where David T. Madden may publish in the future.

Co-authorship network of co-authors of David T. Madden

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

All Works

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15 of 15 papers shown

Yun, Jina, Simon Hansen, Otto Morris, et al.. (2023). Senescent cells perturb intestinal stem cell differentiation through Ptk7 induced noncanonical Wnt and YAP signaling. Nature Communications. 14(1). 156–156. 41 indexed citations

Burton, Barbara K., Anne Skalicky, Christoph Baerwald, et al.. (2021). A non-interventional observational study to identify and validate clinical outcome assessments for adults with phenylketonuria for use in clinical trials. Molecular Genetics and Metabolism Reports. 29. 100810–100810. 3 indexed citations

Chinta, Shankar J., Georgia Woods, Marco Demaria, et al.. (2018). Cellular Senescence Is Induced by the Environmental Neurotoxin Paraquat and Contributes to Neuropathology Linked to Parkinson’s Disease. Cell Reports. 22(4). 930–940. 378 indexed citations breakdown →

Sevigny, Mary B., et al.. (2018). Novel flexible heteroarotinoid, SL-1-39, inhibits HER2-positive breast cancer cell proliferation by promoting lysosomal degradation of HER2. Cancer Letters. 443. 157–166. 3 indexed citations

Sousa‐Victor, Pedro, Arshad Ayyaz, Rippei Hayashi, et al.. (2017). Piwi Is Required to Limit Exhaustion of Aging Somatic Stem Cells. Cell Reports. 20(11). 2527–2537. 66 indexed citations

Poksay, Karen S., David T. Madden, Kayvan Niazi, et al.. (2011). Valosin-Containing Protein Gene Mutations: Cellular Phenotypes Relevant to Neurodegeneration. Journal of Molecular Neuroscience. 44(2). 91–102. 11 indexed citations

Madden, David T., et al.. (2011). Human Embryonic Stem Cells Express Elevated Levels of Multiple Pro-Apoptotic BCL-2 Family Members. PLoS ONE. 6(12). e28530–e28530. 31 indexed citations

Zhang, Junli, Rammohan V. Rao, Patricia Spilman, et al.. (2011). Endogenously EGFP-Labeled Mouse Embryonic Stem Cells.. PubMed. 2(1). 18–29. 4 indexed citations

Birket, Matthew J., Adam L. Orr, Akos A. Gerencser, et al.. (2011). A reduction in ATP demand and mitochondrial activity with neural differentiation of human embryonic stem cells. Journal of Cell Science. 124(3). 348–358. 138 indexed citations

10.

Egger, Lotti, et al.. (2007). Endoplasmic reticulum stress-induced cell death mediated by the proteasome. Cell Death and Differentiation. 14(6). 1172–1180. 52 indexed citations

11.

Madden, David T., Lotti Egger, & Dale E. Bredesen. (2007). A Calpain-Like Protease Inhibits Autophagic Cell Death. Autophagy. 3(5). 518–521. 40 indexed citations

12.

Sun, Yidi, Marko Kaksonen, David T. Madden, Randy Schekman, & David G. Drubin. (2004). Interaction of Sla2p's ANTH Domain with PtdIns(4,5)P₂Is Important for Actin-dependent Endocytic Internalization. Molecular Biology of the Cell. 16(2). 717–730. 65 indexed citations

13.

Supek, František, David T. Madden, Susan Hamamoto, Lelio Orci, & Randy Schekman. (2002). Sec16p potentiates the action of COPII proteins to bud transport vesicles. The Journal of Cell Biology. 158(6). 1029–1038. 111 indexed citations

14.

Antonny, Bruno, David T. Madden, Susan Hamamoto, Lelio Orci, & Randy Schekman. (2001). Dynamics of the COPII coat with GTP and stable analogues. Nature Cell Biology. 3(6). 531–537. 243 indexed citations

15.

Lowther, W. Todd, Allen M. Orville, David T. Madden, et al.. (1999). Escherichia coliMethionine Aminopeptidase: Implications of Crystallographic Analyses of the Native, Mutant, and Inhibited Enzymes for the Mechanism of Catalysis^,. Biochemistry. 38(24). 7678–7688. 108 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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