David Dietz

13.7k total citations · 2 hit papers
111 papers, 7.8k citations indexed

About

David Dietz is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Oncology. According to data from OpenAlex, David Dietz has authored 111 papers receiving a total of 7.8k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Cellular and Molecular Neuroscience, 38 papers in Molecular Biology and 21 papers in Oncology. Recurrent topics in David Dietz's work include Neurotransmitter Receptor Influence on Behavior (36 papers), Neuroscience and Neuropharmacology Research (23 papers) and Colorectal Cancer Surgical Treatments (18 papers). David Dietz is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (36 papers), Neuroscience and Neuropharmacology Research (23 papers) and Colorectal Cancer Surgical Treatments (18 papers). David Dietz collaborates with scholars based in United States, Germany and Brazil. David Dietz's co-authors include Eric J. Nestler, Scott J. Russo, Rachael L. Neve, Mary Kay Lobo, Vincent Vialou, Herbert E. Covington, Dipesh Chaudhury, Dani Dumitriu, HaoSheng Sun and John H. Morrison and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

David Dietz

109 papers receiving 7.6k citations

Hit Papers

Cell Type–Specific Loss of BDNF Signaling Mimics Optogene... 2010 2026 2015 2020 2010 2012 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Dietz United States 40 3.3k 3.3k 1.2k 1.1k 939 111 7.8k
Christoph Kellendonk United States 51 4.1k 1.2× 3.8k 1.2× 2.4k 2.1× 1.3k 1.1× 982 1.0× 93 11.2k
Yoshifumi Watanabe Japan 51 2.1k 0.6× 2.3k 0.7× 1.1k 0.9× 2.6k 2.4× 1.1k 1.2× 195 8.9k
Julie A. Blendy United States 52 5.2k 1.6× 5.2k 1.6× 1.6k 1.4× 1.2k 1.1× 817 0.9× 143 11.1k
Paul R. Albert Canada 51 4.5k 1.4× 5.0k 1.5× 652 0.5× 786 0.7× 691 0.7× 136 8.9k
François Tronche France 47 2.3k 0.7× 3.6k 1.1× 658 0.6× 2.0k 1.8× 1.1k 1.1× 86 10.4k
Eero Vasar Estonia 44 2.5k 0.8× 2.5k 0.8× 542 0.5× 1.2k 1.1× 902 1.0× 259 6.6k
Toshio Matsuda Japan 47 3.8k 1.2× 3.7k 1.1× 945 0.8× 619 0.6× 915 1.0× 251 8.2k
Ludwig Aigner Austria 48 3.9k 1.2× 4.5k 1.4× 583 0.5× 558 0.5× 328 0.3× 196 12.3k
Hiroyuki Nawa Japan 62 8.5k 2.6× 6.2k 1.9× 1.3k 1.1× 893 0.8× 704 0.7× 185 13.4k
Arvind Kumar India 34 2.4k 0.7× 4.1k 1.3× 836 0.7× 1.5k 1.3× 1.1k 1.2× 107 8.4k

Countries citing papers authored by David Dietz

Since Specialization
Citations

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

Fields of papers citing papers by David Dietz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Dietz

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

All Works

20 of 20 papers shown
1.
Smith, Martin D., et al.. (2025). The global seafood trade, embodied nutrients, and nutritional affordability. Nature Communications. 16(1). 5868–5868. 1 indexed citations
2.
Mitra, Swarup, Craig Werner, Ana García López, et al.. (2024). A Novel Role for the Histone Demethylase JMJD3 in Mediating Heroin-Induced Relapse-Like Behaviors. Biological Psychiatry. 97(6). 602–613. 2 indexed citations
3.
Gancarz, Amy M., Suzanne H. Mitchell, Anthony M. George, et al.. (2023). Reward maximization assessed using a sequential patch depletion task in a large sample of heterogeneous stock rats. Scientific Reports. 13(1). 7027–7027. 3 indexed citations
4.
5.
Bingmer, Katherine, Asya Ofshteyn, Ronald Charles, et al.. (2022). Effects of surgical approach on short- and long-term outcomes in early-stage rectal cancer: a multicenter, propensity score-weighted cohort study. Surgical Endoscopy. 36(8). 5833–5839. 4 indexed citations
6.
Liu, Jianfeng, Ruyan Wu, Yufei Huang, et al.. (2022). TAAR1 regulates drug-induced reinstatement of cocaine-seeking via negatively modulating CaMKIIα activity in the NAc. Molecular Psychiatry. 27(4). 2136–2145. 5 indexed citations
7.
Werner, Craig, Swarup Mitra, Benjamin D. Auerbach, et al.. (2020). Neuroadaptations in the dorsal hippocampus underlie cocaine seeking during prolonged abstinence. Proceedings of the National Academy of Sciences. 117(42). 26460–26469. 29 indexed citations
8.
Werner, Craig, Swarup Mitra, Jennifer A. Martin, et al.. (2019). Ubiquitin-proteasomal regulation of chromatin remodeler INO80 in the nucleus accumbens mediates persistent cocaine craving. Science Advances. 5(10). eaay0351–eaay0351. 24 indexed citations
9.
Calipari, Erin S., Arthur Godino, Marine Salery, et al.. (2019). Synaptic Microtubule-Associated Protein EB3 and SRC Phosphorylation Mediate Structural and Behavioral Adaptations During Withdrawal From Cocaine Self-Administration. Journal of Neuroscience. 39(29). 5634–5646. 23 indexed citations
10.
Martin, Jennifer A., Aaron Caccamise, Craig Werner, et al.. (2017). A Novel Role for Oligodendrocyte Precursor Cells (OPCs) and Sox10 in Mediating Cellular and Behavioral Responses to Heroin. Neuropsychopharmacology. 43(6). 1385–1394. 27 indexed citations
11.
Friedman, Allyson K., Barbara Juarez, Stacy M. Ku, et al.. (2016). KCNQ channel openers reverse depressive symptoms via an active resilience mechanism. Nature. 35 indexed citations
12.
Sun, HaoSheng, Jennifer A. Martin, Craig Werner, et al.. (2016). BAZ1B in Nucleus Accumbens Regulates Reward-Related Behaviors in Response to Distinct Emotional Stimuli. Journal of Neuroscience. 36(14). 3954–3961. 30 indexed citations
13.
Cahill, Michael E., Rosemary C. Bagot, Amy M. Gancarz, et al.. (2016). Bidirectional Synaptic Structural Plasticity after Chronic Cocaine Administration Occurs through Rap1 Small GTPase Signaling. Neuron. 89(3). 566–582. 63 indexed citations
14.
Friedman, Allyson K., Jessica J. Walsh, Barbara Juarez, et al.. (2014). Enhancing Depression Mechanisms in Midbrain Dopamine Neurons Achieves Homeostatic Resilience. Science. 344(6181). 313–319. 358 indexed citations
15.
16.
Dietz, David, Wael Sabra, & An‐Ping Zeng. (2013). Co-cultivation of Lactobacillus zeae and Veillonella criceti for the production of propionic acid. AMB Express. 3(1). 29–29. 18 indexed citations
17.
Covington, Herbert E., Ian Maze, HaoSheng Sun, et al.. (2011). A Role for Repressive Histone Methylation in Cocaine-Induced Vulnerability to Stress. Neuron. 71(4). 656–670. 228 indexed citations
18.
Stewart, David A. & David Dietz. (2007). Total Mesorectal Excision: What Are We Doing?. Clinics in Colon and Rectal Surgery. 20(3). 190–202. 33 indexed citations
19.
Engin, K., Leslie Tupchong, F. M. Waterman, et al.. (1994). Thermoradiotherapy for superficial tumour deposits in the head and neck. International Journal of Hyperthermia. 10(2). 153–164. 12 indexed citations
20.
Dietz, David, et al.. (1993). College Algebra and Trigonometry: Explorations for the Ti-81 and Ti-82 Graphics Calculators. 1 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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