Daniel P. Mossing

639 total citations
4 papers, 314 citations indexed

About

Daniel P. Mossing is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Daniel P. Mossing has authored 4 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cellular and Molecular Neuroscience, 3 papers in Cognitive Neuroscience and 1 paper in Molecular Biology. Recurrent topics in Daniel P. Mossing's work include Neural dynamics and brain function (3 papers), Photoreceptor and optogenetics research (3 papers) and Neuroscience and Neural Engineering (2 papers). Daniel P. Mossing is often cited by papers focused on Neural dynamics and brain function (3 papers), Photoreceptor and optogenetics research (3 papers) and Neuroscience and Neural Engineering (2 papers). Daniel P. Mossing collaborates with scholars based in United States, Italy and Germany. Daniel P. Mossing's co-authors include Yinan Wan, Kristin Branson, Eugene W. Myers, Philipp Keller, William C. Lemon, Katie McDole, Fernando Amat, Hillel Adesnik, Julia Veit and Gregory Handy and has published in prestigious journals such as Neuron, Nature Methods and eLife.

In The Last Decade

Daniel P. Mossing

4 papers receiving 311 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel P. Mossing United States	4	138	127	99	91	35	4	314
Arlo Sheridan United States	8	138 1.0×	86 0.7×	69 0.7×	112 1.2×	49 1.4×	9	436
Sridevi Polavaram United States	6	144 1.0×	240 1.9×	114 1.2×	95 1.0×	34 1.0×	9	398
Alessandro Motta Germany	6	57 0.4×	83 0.7×	155 1.6×	137 1.5×	14 0.4×	6	338
Lyndsey M. Kirk United States	8	119 0.9×	61 0.5×	20 0.2×	99 1.1×	30 0.9×	11	328
Benedikt Staffler Germany	4	42 0.3×	81 0.6×	91 0.9×	84 0.9×	21 0.6×	4	243
Leonard Kuan United States	10	119 0.9×	95 0.7×	118 1.2×	81 0.9×	30 0.9×	13	384
Qiuyuan Zhong China	8	147 1.1×	257 2.0×	161 1.6×	164 1.8×	36 1.0×	13	534
Marcel Beining Germany	8	71 0.5×	65 0.5×	137 1.4×	168 1.8×	12 0.3×	9	335
Ruggero Scorcioni United States	8	141 1.0×	240 1.9×	261 2.6×	262 2.9×	27 0.8×	12	549
Maryam Halavi United States	4	170 1.2×	353 2.8×	234 2.4×	189 2.1×	41 1.2×	5	596

Countries citing papers authored by Daniel P. Mossing

Since Specialization

Citations

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

Fields of papers citing papers by Daniel P. Mossing

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel P. Mossing

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

All Works

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4 of 4 papers shown

1.

Veit, Julia, Gregory Handy, Daniel P. Mossing, Brent Doiron, & Hillel Adesnik. (2022). Cortical VIP neurons locally control the gain but globally control the coherence of gamma band rhythms. Neuron. 111(3). 405–417.e5. 30 indexed citations

2.

Lyall, Evan H., et al.. (2021). Synthesis of a comprehensive population code for contextual features in the awake sensory cortex. eLife. 10. 13 indexed citations

3.

Naka, Alexander, Julia Veit, Rebecca K. Chance, et al.. (2019). Complementary networks of cortical somatostatin interneurons enforce layer specific control. eLife. 8. 75 indexed citations

4.

Amat, Fernando, William C. Lemon, Daniel P. Mossing, et al.. (2014). Fast, accurate reconstruction of cell lineages from large-scale fluorescence microscopy data. Nature Methods. 11(9). 951–958. 196 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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