Daniel Knowland

1.5k total citations · 1 hit paper
9 papers, 1.1k citations indexed

About

Daniel Knowland is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Daniel Knowland has authored 9 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 2 papers in Cognitive Neuroscience. Recurrent topics in Daniel Knowland's work include Ion channel regulation and function (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Nicotinic Acetylcholine Receptors Study (3 papers). Daniel Knowland is often cited by papers focused on Ion channel regulation and function (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Nicotinic Acetylcholine Receptors Study (3 papers). Daniel Knowland collaborates with scholars based in United States. Daniel Knowland's co-authors include Byung Kook Lim, Martin Hsu, Varoth Lilascharoen, John Perrino, Dritan Agalliu, Ahmet Arac, Sarah E. Lutz, Gary K. Steinberg, Axel Nimmerjahn and Ben A. Barres and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Daniel Knowland

9 papers receiving 1.1k citations

Hit Papers

Stepwise Recruitment of Transcellular and Paracellular Pa... 2014 2026 2018 2022 2014 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Knowland United States 9 365 365 295 148 126 9 1.1k
Georgia Gunner United States 10 256 0.7× 373 1.0× 340 1.2× 147 1.0× 96 0.8× 14 1.0k
Huifang Lou China 18 399 1.1× 385 1.1× 310 1.1× 148 1.0× 75 0.6× 36 1.3k
Kai Diederich Germany 19 186 0.5× 525 1.4× 258 0.9× 137 0.9× 152 1.2× 47 1.2k
Luciana Romina Frick United States 25 379 1.0× 220 0.6× 379 1.3× 278 1.9× 101 0.8× 38 1.5k
Kadellyn Sandoval United States 6 520 1.4× 318 0.9× 457 1.5× 223 1.5× 59 0.5× 6 1.5k
Samuel A. Rose United States 4 602 1.6× 463 1.3× 261 0.9× 179 1.2× 50 0.4× 5 1.8k
Lauren Wood United States 12 340 0.9× 391 1.1× 390 1.3× 172 1.2× 88 0.7× 47 1.7k
Anne Roumier France 17 430 1.2× 919 2.5× 434 1.5× 87 0.6× 92 0.7× 23 1.8k
Wanying Miao China 14 231 0.6× 228 0.6× 192 0.7× 97 0.7× 58 0.5× 19 798
Norbert Ulfig Germany 21 340 0.9× 186 0.5× 440 1.5× 259 1.8× 141 1.1× 76 1.4k

Countries citing papers authored by Daniel Knowland

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Knowland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Knowland

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

All Works

9 of 9 papers shown
1.
Dhara, Madhurima, José A. Matta, M. Lei, et al.. (2020). Polyamine regulation of ion channel assembly and implications for nicotinic acetylcholine receptor pharmacology. Nature Communications. 11(1). 2799–2799. 36 indexed citations
2.
Gu, Shenyan, et al.. (2020). Hair cell α9α10 nicotinic acetylcholine receptor functional expression regulated by ligand binding and deafness gene products. Proceedings of the National Academy of Sciences. 117(39). 24534–24544. 24 indexed citations
3.
Knowland, Daniel, Shenyan Gu, William A. Eckert, et al.. (2020). Functional α6β4 acetylcholine receptor expression enables pharmacological testing of nicotinic agonists with analgesic properties. Journal of Clinical Investigation. 130(11). 6158–6170. 12 indexed citations
4.
Knowland, Daniel, et al.. (2018). Cocaine-Induced Structural Plasticity in Input Regions to Distinct Cell Types in Nucleus Accumbens. Biological Psychiatry. 84(12). 893–904. 49 indexed citations
5.
Knowland, Daniel & Byung Kook Lim. (2018). Circuit-based frameworks of depressive behaviors: The role of reward circuitry and beyond. Pharmacology Biochemistry and Behavior. 174. 42–52. 70 indexed citations
6.
Shin, Sora, et al.. (2017). Drd3 Signaling in the Lateral Septum Mediates Early Life Stress-Induced Social Dysfunction. Neuron. 97(1). 195–208.e6. 85 indexed citations
7.
Knowland, Daniel, Varoth Lilascharoen, Christopher Pham Pacia, et al.. (2017). Distinct Ventral Pallidal Neural Populations Mediate Separate Symptoms of Depression. Cell. 170(2). 284–297.e18. 195 indexed citations
8.
Dileepan, Thamotharampillai, Erica D. Smith, Daniel Knowland, et al.. (2015). Group A Streptococcus intranasal infection promotes CNS infiltration by streptococcal-specific Th17 cells. Journal of Clinical Investigation. 126(1). 303–317. 94 indexed citations
9.
Knowland, Daniel, Ahmet Arac, Martin Hsu, et al.. (2014). Stepwise Recruitment of Transcellular and Paracellular Pathways Underlies Blood-Brain Barrier Breakdown in Stroke. Neuron. 82(3). 603–617. 496 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026