Stephan Lammel

8.0k total citations · 6 hit papers
28 papers, 5.6k citations indexed

About

Stephan Lammel is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Stephan Lammel has authored 28 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cellular and Molecular Neuroscience, 14 papers in Molecular Biology and 14 papers in Cognitive Neuroscience. Recurrent topics in Stephan Lammel's work include Neurotransmitter Receptor Influence on Behavior (16 papers), Receptor Mechanisms and Signaling (14 papers) and Neural dynamics and brain function (12 papers). Stephan Lammel is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (16 papers), Receptor Mechanisms and Signaling (14 papers) and Neural dynamics and brain function (12 papers). Stephan Lammel collaborates with scholars based in United States, Germany and China. Stephan Lammel's co-authors include Robert C. Malenka, Byung Kook Lim, Jochen Roeper, Karl Deisseroth, Kay M. Tye, Johannes W. de Jong, Robert Malenka, Birgit Liss, Andrea Hetzel and Ran Chen and has published in prestigious journals such as Nature, Cell and Nature Communications.

In The Last Decade

Stephan Lammel

27 papers receiving 5.5k citations

Hit Papers

Input-specific control of reward and aversion in the vent... 2008 2026 2014 2020 2012 2014 2008 2011 2013 250 500 750
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.

  1. Input-specific control of reward and aversion in the ventral tegmental area
    2012 977 citations Stephan Lammel, Byung Kook Lim et al. Nature profile →
  2. Natural Neural Projection Dynamics Underlying Social Behavior
    2014 973 citations Lisa A. Gunaydin, Logan Grosenick et al. Cell profile →
  3. Unique Properties of Mesoprefrontal Neurons within a Dual Mesocorticolimbic Dopamine System
    2008 705 citations Stephan Lammel, Andrea Hetzel et al. Neuron profile →
  4. Projection-Specific Modulation of Dopamine Neuron Synapses by Aversive and Rewarding Stimuli
    2011 578 citations Stephan Lammel, Jochen Roeper et al. Neuron profile →
  5. Reward and aversion in a heterogeneous midbrain dopamine system
    2013 578 citations Stephan Lammel, Byung Kook Lim et al. Neuropharmacology profile →
  6. A Neural Circuit Mechanism for Encoding Aversive Stimuli in the Mesolimbic Dopamine System
    2018 332 citations Johannes W. de Jong, Iskra Pollak Dorocic et al. Neuron profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephan Lammel United States 21 3.9k 2.3k 2.1k 776 554 28 5.6k
Byung Kook Lim United States 31 3.1k 0.8× 1.9k 0.9× 1.5k 0.7× 684 0.9× 585 1.1× 44 5.2k
Mark A. Ungless United Kingdom 29 4.0k 1.0× 2.1k 0.9× 2.2k 1.1× 517 0.7× 454 0.8× 51 5.6k
David Belin United Kingdom 36 4.9k 1.2× 2.1k 0.9× 1.9k 0.9× 880 1.1× 398 0.7× 83 6.6k
Ilana B. Witten United States 28 3.6k 0.9× 3.0k 1.3× 1.7k 0.8× 582 0.8× 375 0.7× 50 5.7k
Larry S. Zweifel United States 43 3.8k 1.0× 1.9k 0.9× 2.3k 1.1× 942 1.2× 969 1.7× 102 6.5k
F. Woodward Hopf United States 42 3.3k 0.8× 1.4k 0.6× 2.2k 1.1× 420 0.5× 595 1.1× 82 5.0k
Yan Dong United States 39 4.4k 1.1× 2.0k 0.9× 2.4k 1.2× 514 0.7× 334 0.6× 116 5.9k
Jennifer M. Bossert United States 47 5.8k 1.5× 2.9k 1.3× 2.4k 1.2× 1.0k 1.3× 512 0.9× 78 6.9k
Kimberly R. Thompson United States 18 4.6k 1.2× 2.1k 0.9× 1.6k 0.8× 547 0.7× 467 0.8× 20 6.2k
Satoshi Ikemoto United States 39 5.1k 1.3× 2.6k 1.2× 2.3k 1.1× 1.4k 1.8× 683 1.2× 71 7.3k

Countries citing papers authored by Stephan Lammel

Since Specialization
Citations

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

Fields of papers citing papers by Stephan Lammel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephan Lammel

This figure shows the co-authorship network connecting the top 25 collaborators of Stephan Lammel. A scholar is included among the top collaborators of Stephan Lammel 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 Stephan Lammel. Stephan Lammel 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.
Lukácsovich, Tamás, Hongbin Yang, Jeroen P. H. Verharen, et al.. (2025). Changes in neurotensin signalling drive hedonic devaluation in obesity. Nature. 641(8065). 1238–1247. 7 indexed citations
2.
Lammel, Stephan, et al.. (2025). Rebound Bursting Selectively Enables Fast Dynamics in Dopamine Midbrain Neurons Projecting to the Dorsolateral Striatum. Journal of Neuroscience. 45(44). e0361252025–e0361252025.
3.
Read, Jordan S., Cherise Stanley, Meike Visel, et al.. (2025). Dopamine D1 receptor activation in the striatum is sufficient to drive reinforcement of anteceding cortical patterns. Neuron. 113(5). 785–794.e9. 2 indexed citations
4.
Jong, Johannes W. de, et al.. (2024). State and rate-of-change encoding in parallel mesoaccumbal dopamine pathways. Nature Neuroscience. 27(2). 309–318. 24 indexed citations
5.
Verharen, Jeroen P. H., Johannes W. de Jong, Yichen Zhu, & Stephan Lammel. (2023). A computational analysis of mouse behavior in the sucrose preference test. Nature Communications. 14(1). 2419–2419. 32 indexed citations
6.
Du, Yong-lan, Chenyan Ma, Hui Chen, et al.. (2023). Dopamine release and negative valence gated by inhibitory neurons in the laterodorsal tegmental nucleus. Neuron. 111(19). 3102–3118.e7. 15 indexed citations
7.
Lin, Wan Chen, Christine Liu, Polina Kosillo, et al.. (2022). Transient food insecurity during the juvenile-adolescent period affects adult weight, cognitive flexibility, and dopamine neurobiology. Current Biology. 32(17). 3690–3703.e5. 20 indexed citations
8.
Liu, Christine, Jeroen P. H. Verharen, Yichen Zhu, et al.. (2022). An inhibitory brainstem input to dopamine neurons encodes nicotine aversion. Neuron. 110(18). 3018–3035.e7. 31 indexed citations
9.
Yang, Hongbin, Johannes W. de Jong, James R. Peck, et al.. (2021). Pain modulates dopamine neurons via a spinal–parabrachial–mesencephalic circuit. Nature Neuroscience. 24(10). 1402–1413. 71 indexed citations
10.
Verharen, Jeroen P. H., Yichen Zhu, & Stephan Lammel. (2020). Aversion hot spots in the dopamine system. Current Opinion in Neurobiology. 64. 46–52. 58 indexed citations
11.
Pinto, Daniel F. Cardozo, Hongbin Yang, Iskra Pollak Dorocic, et al.. (2019). Characterization of transgenic mouse models targeting neuromodulatory systems reveals organizational principles of the dorsal raphe. Nature Communications. 10(1). 4633–4633. 47 indexed citations
12.
Winterer, Jochen, Johannes W. de Jong, David Lukacsovich, et al.. (2019). Chronic Stress Induces Activity, Synaptic, and Transcriptional Remodeling of the Lateral Habenula Associated with Deficits in Motivated Behaviors. Neuron. 104(5). 899–915.e8. 129 indexed citations
13.
Yang, Hongbin, et al.. (2018). Nucleus Accumbens Subnuclei Regulate Motivated Behavior via Direct Inhibition and Disinhibition of VTA Dopamine Subpopulations. Neuron. 97(2). 434–449.e4. 275 indexed citations
14.
Jong, Johannes W. de, Iskra Pollak Dorocic, James R. Peck, et al.. (2018). A Neural Circuit Mechanism for Encoding Aversive Stimuli in the Mesolimbic Dopamine System. Neuron. 101(1). 133–151.e7. 332 indexed citations breakdown →
15.
Gunaydin, Lisa A., Logan Grosenick, Joel Finkelstein, et al.. (2014). Natural Neural Projection Dynamics Underlying Social Behavior. Cell. 157(7). 1535–1551. 973 indexed citations breakdown →
16.
Duda, Johanna, Falk Schlaudraff, Stephan Lammel, et al.. (2014). Cav1.3 channels control D2-autoreceptor responses via NCS-1 in substantia nigra dopamine neurons. Brain. 137(8). 2287–2302. 92 indexed citations
17.
Lammel, Stephan, Byung Kook Lim, & Robert C. Malenka. (2013). Reward and aversion in a heterogeneous midbrain dopamine system. Neuropharmacology. 76. 351–359. 578 indexed citations breakdown →
18.
Lammel, Stephan, Byung Kook Lim, Ran Chen, et al.. (2012). Input-specific control of reward and aversion in the ventral tegmental area. Nature. 491(7423). 212–217. 977 indexed citations breakdown →
19.
Lammel, Stephan, et al.. (2011). Projection-Specific Modulation of Dopamine Neuron Synapses by Aversive and Rewarding Stimuli. Neuron. 70(5). 855–862. 578 indexed citations breakdown →
20.
Lammel, Stephan, et al.. (2008). Unique Properties of Mesoprefrontal Neurons within a Dual Mesocorticolimbic Dopamine System. Neuron. 57(5). 760–773. 705 indexed citations breakdown →

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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