Benjamin B. Land

4.0k total citations
34 papers, 3.1k citations indexed

About

Benjamin B. Land is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Pharmacology. According to data from OpenAlex, Benjamin B. Land has authored 34 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cellular and Molecular Neuroscience, 14 papers in Molecular Biology and 7 papers in Pharmacology. Recurrent topics in Benjamin B. Land's work include Neuropeptides and Animal Physiology (15 papers), Receptor Mechanisms and Signaling (14 papers) and Neurotransmitter Receptor Influence on Behavior (12 papers). Benjamin B. Land is often cited by papers focused on Neuropeptides and Animal Physiology (15 papers), Receptor Mechanisms and Signaling (14 papers) and Neurotransmitter Receptor Influence on Behavior (12 papers). Benjamin B. Land collaborates with scholars based in United States, Netherlands and China. Benjamin B. Land's co-authors include Charles Chavkin, Michael R. Bruchas, Julia C. Lemos, Mei Xu, Ralph Dileone, Erica J. Melief, Shuang Li, Megumi Aita, Selena S. Schattauer and Daniel I. Messinger and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Benjamin B. Land

32 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benjamin B. Land United States 23 2.1k 1.4k 559 464 423 34 3.1k
Kathryn G. Commons United States 34 1.9k 0.9× 1.2k 0.9× 652 1.2× 533 1.1× 612 1.4× 75 3.2k
Anita C. Hansson Germany 33 2.6k 1.2× 1.3k 1.0× 702 1.3× 422 0.9× 1.0k 2.4× 83 4.3k
Pietro Cottone United States 34 1.7k 0.8× 961 0.7× 662 1.2× 559 1.2× 345 0.8× 73 3.4k
Carles Sanchis‐Segura Spain 34 2.0k 1.0× 974 0.7× 545 1.0× 415 0.9× 896 2.1× 72 3.8k
Marcelo F. Lopez United States 32 2.0k 1.0× 914 0.7× 674 1.2× 618 1.3× 753 1.8× 79 3.2k
Lynn G. Kirby United States 24 1.8k 0.9× 853 0.6× 838 1.5× 333 0.7× 455 1.1× 44 3.0k
Zhi‐Bing You United States 24 1.7k 0.8× 951 0.7× 364 0.7× 299 0.6× 521 1.2× 45 2.6k
Ryan K. Bachtell United States 28 1.6k 0.7× 824 0.6× 478 0.9× 429 0.9× 397 0.9× 49 2.4k
Allyson K. Friedman United States 18 1.5k 0.7× 828 0.6× 567 1.0× 276 0.6× 644 1.5× 31 2.6k
Michelle S. Mazei‐Robison United States 32 1.8k 0.9× 1.1k 0.8× 749 1.3× 350 0.8× 598 1.4× 51 3.3k

Countries citing papers authored by Benjamin B. Land

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin B. Land

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benjamin B. Land. 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 Benjamin B. Land. The network helps show where Benjamin B. Land may publish in the future.

Co-authorship network of co-authors of Benjamin B. Land

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin B. Land. A scholar is included among the top collaborators of Benjamin B. Land 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 Benjamin B. Land. Benjamin B. Land 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.
Lee, C. Justin, et al.. (2025). G Protein Inactivation as a Mechanism for Addiction Treatment. Biological Psychiatry. 99(1). 80–90.
2.
Singh, Simar, Jie Yu, Larry S. Zweifel, et al.. (2025). Differential increase in endocannabinoid levels at the plasma and intracellular membranes. iScience. 28(11). 113873–113873.
3.
Singh, Simar, Dale Whittington, Ao Dong, et al.. (2024). P2X7 receptor‐dependent increase in endocannabinoid 2‐arachidonoyl glycerol production by neuronal cells in culture: Dynamics and mechanism. British Journal of Pharmacology. 181(15). 2459–2477. 2 indexed citations
4.
Piomelli, Daniele, et al.. (2024). A preclinical model of THC edibles that produces high-dose cannabimimetic responses. eLife. 12. 1 indexed citations
5.
Singh, Simar, Ao Dong, Larry S. Zweifel, et al.. (2023). Pharmacological Characterization of the Endocannabinoid Sensor GRAB eCB2.0. Cannabis and Cannabinoid Research. 9(5). 1250–1266. 6 indexed citations
6.
Piomelli, Daniele, et al.. (2023). A preclinical model of THC edibles that produces high-dose cannabimimetic responses. eLife. 12. 6 indexed citations
7.
8.
9.
Abraham, Antony D., Selena S. Schattauer, Grace O. Mizuno, et al.. (2021). Release of endogenous dynorphin opioids in the prefrontal cortex disrupts cognition. Neuropsychopharmacology. 46(13). 2330–2339. 48 indexed citations
10.
Schattauer, Selena S., et al.. (2020). Regulation of Kappa Opioid Receptor Inactivation Depends on Sex and Cellular Site of Antagonist Action. Molecular Pharmacology. 98(5). 548–558. 15 indexed citations
11.
Abraham, Antony D., et al.. (2018). Estrogen Regulation of GRK2 Inactivates Kappa Opioid Receptor Signaling Mediating Analgesia, But Not Aversion. Journal of Neuroscience. 38(37). 8031–8043. 60 indexed citations
12.
Schattauer, Selena S., Benjamin B. Land, Antony D. Abraham, et al.. (2017). Peroxiredoxin 6 mediates Gαi protein-coupled receptor inactivation by cJun kinase. Nature Communications. 8(1). 40 indexed citations
13.
Trinko, Richard, Benjamin B. Land, Wojciech Solecki, et al.. (2016). Vitamin D3: A Role in Dopamine Circuit Regulation, Diet-Induced Obesity, and Drug Consumption. eNeuro. 3(3). ENEURO.0122–15.2016. 54 indexed citations
14.
Land, Benjamin B., et al.. (2014). Optogenetic inhibition of neurons by internal light production. Frontiers in Behavioral Neuroscience. 8. 108–108. 24 indexed citations
15.
Heuvel, José K. van den, Leslie Eggels, Darren M. Opland, et al.. (2014). Neuropeptide Y Activity in the Nucleus Accumbens Modulates Feeding Behavior and Neuronal Activity. Biological Psychiatry. 77(7). 633–641. 51 indexed citations
16.
Téllez, Luis A., et al.. (2013). Flavor-Independent Maintenance, Extinction, and Reinstatement of Fat Self-Administration in Mice. Biological Psychiatry. 73(9). 851–859. 27 indexed citations
17.
Bruchas, Michael R., Benjamin B. Land, & Charles Chavkin. (2009). The dynorphin/kappa opioid system as a modulator of stress-induced and pro-addictive behaviors. Brain Research. 1314. 44–55. 405 indexed citations
18.
Land, Benjamin B., Michael R. Bruchas, Selena S. Schattauer, et al.. (2009). Activation of the kappa opioid receptor in the dorsal raphe nucleus mediates the aversive effects of stress and reinstates drug seeking. Proceedings of the National Academy of Sciences. 106(45). 19168–19173. 237 indexed citations
19.
Land, Benjamin B., Michael R. Bruchas, Julia C. Lemos, et al.. (2008). The Dysphoric Component of Stress Is Encoded by Activation of the Dynorphin κ-Opioid System. Journal of Neuroscience. 28(2). 407–414. 475 indexed citations
20.
McLaughlin, Jay P., Benjamin B. Land, Shuang Li, John E. Pintar, & Charles Chavkin. (2005). Prior Activation of Kappa Opioid Receptors by U50,488 Mimics Repeated Forced Swim Stress to Potentiate Cocaine Place Preference Conditioning. Neuropsychopharmacology. 31(4). 787–794. 187 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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