David M. Linn

934 total citations
31 papers, 774 citations indexed

About

David M. Linn is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Ophthalmology. According to data from OpenAlex, David M. Linn has authored 31 papers receiving a total of 774 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 22 papers in Cellular and Molecular Neuroscience and 5 papers in Ophthalmology. Recurrent topics in David M. Linn's work include Retinal Development and Disorders (17 papers), Neuroscience and Neuropharmacology Research (16 papers) and Photoreceptor and optogenetics research (10 papers). David M. Linn is often cited by papers focused on Retinal Development and Disorders (17 papers), Neuroscience and Neuropharmacology Research (16 papers) and Photoreceptor and optogenetics research (10 papers). David M. Linn collaborates with scholars based in United States, Israel and Belgium. David M. Linn's co-authors include Jeffrey G. Tasker, Cindy L. Linn, Stephen C. Massey, Chi W. Pak, R. B. Levine, Katalin Cs. Halmos, Chérif Boudaba, C. M. Bate, R. B. Levine and JW Truman and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and The Journal of Physiology.

In The Last Decade

David M. Linn

28 papers receiving 757 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David M. Linn United States 17 488 392 97 96 94 31 774
Silvarosa Grassi Italy 16 262 0.5× 141 0.4× 49 0.5× 101 1.1× 46 0.5× 31 596
Emma Pérez‐Costas United States 20 465 1.0× 434 1.1× 112 1.2× 60 0.6× 8 0.1× 34 1.0k
Belmira Lara da Silveira Andrade‐da‐Costa Brazil 17 177 0.4× 285 0.7× 35 0.4× 18 0.2× 51 0.5× 37 699
Kelly A. Glendining New Zealand 15 256 0.5× 279 0.7× 54 0.6× 151 1.6× 8 0.1× 25 771
D. P. McCobb United States 12 980 2.0× 666 1.7× 124 1.3× 45 0.5× 10 0.1× 13 1.3k
Ivanova Ea Russia 14 387 0.8× 381 1.0× 34 0.4× 30 0.3× 20 0.2× 90 744
Brian C. Nolan United States 9 308 0.6× 563 1.4× 45 0.5× 32 0.3× 50 0.5× 11 836
Gordon M. Shepherd United States 8 473 1.0× 378 1.0× 52 0.5× 236 2.5× 20 0.2× 8 1.1k
Akiko Seto‐Ohshima Japan 15 565 1.2× 464 1.2× 36 0.4× 29 0.3× 22 0.2× 46 868
Balaji Krishnan United States 17 698 1.4× 246 0.6× 22 0.2× 114 1.2× 15 0.2× 40 1.1k

Countries citing papers authored by David M. Linn

Since Specialization
Citations

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

Fields of papers citing papers by David M. Linn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David M. Linn

This figure shows the co-authorship network connecting the top 25 collaborators of David M. Linn. A scholar is included among the top collaborators of David M. Linn 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 M. Linn. David M. Linn 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
2.
Webster, Sarah E., et al.. (2022). Transcriptome Changes in Retinal Pigment Epithelium Post-PNU-282987 Treatment Associated with Adult Retinal Neurogenesis in Mice. Journal of Molecular Neuroscience. 72(9). 1990–2010. 5 indexed citations
3.
Linn, David M., Dimitrios G. Aggelis, & Eleni Tsangouri. (2021). Single-lap shear tests of textile reinforced mortar retrofit systems bonded to masonry: revealing the fracture progress by digital image correlation and acoustic emission. Materials and Structures. 55(1). 9 indexed citations
4.
Webster, Sarah E., et al.. (2021). Stimulation of α7 nAChR leads to regeneration of damaged neurons in adult mammalian retinal disease models. Experimental Eye Research. 210. 108717–108717. 4 indexed citations
5.
Christie, John D., et al.. (2016). Neuroprotective Strategies in Glaucoma. Current Pharmaceutical Design. 22(14). 2178–2192. 15 indexed citations
6.
Linn, David M., et al.. (2016). Glaucoma-inducing Procedure in an <em>In Vivo </em>Rat Model and Whole-mount Retina Preparation. Journal of Visualized Experiments. 3 indexed citations
7.
Linn, David M., et al.. (2015). Retinal ganglion cell neuroprotection induced by activation of alpha7 nicotinic acetylcholine receptors. Neuropharmacology. 99. 337–346. 23 indexed citations
8.
Iwamoto, Kazunari, Douglas A. Mata, David M. Linn, & Cindy L. Linn. (2013). Neuroprotection of rat retinal ganglion cells mediated through alpha7 nicotinic acetylcholine receptors. Neuroscience. 237. 184–198. 33 indexed citations
9.
Linn, David M., et al.. (2013). Tropisetron as a neuroprotective agent against glutamate-induced excitotoxicity and mechanisms of action. Neuropharmacology. 73. 111–121. 18 indexed citations
10.
Farmen, Raymond H., et al.. (2011). Determination of Neurotransmitter levels in Rodent Retina. Investigative Ophthalmology & Visual Science. 52(14). 5629–5629. 1 indexed citations
11.
Linn, Cindy L., et al.. (2011). Glaucoma-induced Cell Loss In The Retinal Ganglion Cell Layer Can Be Prevented Using Nicotine And The alpha7 nAChR Specific Agonist, PNU-282987. Investigative Ophthalmology & Visual Science. 52(14). 6674–6674. 2 indexed citations
12.
Linn, David M., et al.. (2011). Ocular Delivery Of A Selective Alpha-7 Nicotinic Agonist To The Rabbit Retina. Investigative Ophthalmology & Visual Science. 52(14). 3237–3237.
13.
Ware, Lorraine B., et al.. (2010). Calcium preconditioning triggers neuroprotection in retinal ganglion cells. Neuroscience. 172. 387–397. 29 indexed citations
14.
Linn, David M., et al.. (2006). Acetylcholine neuroprotection against glutamate-induced excitotoxicity in adult pig retinal ganglion cells is partially mediated through α4 nAChRs. Experimental Eye Research. 83(5). 1135–1145. 24 indexed citations
15.
Linn, David M. & Cindy L. Linn. (2005). Neuroprotective Effect of Tropisetron in Pig RGCs: Role of the AKT Signaling Cascade. Investigative Ophthalmology & Visual Science. 46(13). 1324–1324.
16.
Boudaba, Chérif, David M. Linn, Katalin Cs. Halmos, & Jeffrey G. Tasker. (2003). Increased tonic activation of presynaptic metabotropic glutamate receptors in the rat supraoptic nucleus following chronic dehydration. The Journal of Physiology. 551(3). 815–823. 58 indexed citations
17.
Linn, David M.. (1998). A comparison of the inhibitory actions of glycine and GABA on acetylcholine release from the rabbit retina. Visual Neuroscience. 15(6). 1057–1065. 4 indexed citations
18.
Massey, Stephen C., et al.. (1997). Contributions of GABAAreceptors and GABACreceptors to acetylcholine release and directional selectivity in the rabbit retina. Visual Neuroscience. 14(5). 939–948. 43 indexed citations
19.
Linn, David M. & Stephen C. Massey. (1996). Homocysteate‐Evoked Release of Acetylcholine from the Rabbit Retina. Journal of Neurochemistry. 66(1). 153–160. 4 indexed citations
20.
Linn, David M. & Stephen C. Massey. (1992). GABA inhibits ACh release from the rabbit retina: A direct effect or feedback to bipolar cells?. Visual Neuroscience. 8(2). 97–106. 20 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026