Gordon M. Shepherd

1.4k total citations
8 papers, 1.1k citations indexed

About

Gordon M. Shepherd is a scholar working on Molecular Biology, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Gordon M. Shepherd has authored 8 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, 4 papers in Cognitive Neuroscience and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Gordon M. Shepherd's work include RNA regulation and disease (3 papers), Genetics and Neurodevelopmental Disorders (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). Gordon M. Shepherd is often cited by papers focused on RNA regulation and disease (3 papers), Genetics and Neurodevelopmental Disorders (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). Gordon M. Shepherd collaborates with scholars based in United States and Germany. Gordon M. Shepherd's co-authors include Heinz Breer, Jeffrey M. Friedman, Scott M. Sternson, Karel Svoboda, Ingrid Bureau, Lydia Wood, Iqbal Ahmad, Jeffery D. Kocsis, Frank Zufall and Colin J. Barnstable and has published in prestigious journals such as Cell, Neuron and Journal of Neuroscience.

In The Last Decade

Gordon M. Shepherd

8 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gordon M. Shepherd United States	8	473	378	273	251	238	8	1.1k
Katsuyasu Sakurai Japan	16	444 0.9×	369 1.0×	250 0.9×	453 1.8×	254 1.1×	28	1.4k
Motoi Kudo Japan	23	750 1.6×	266 0.7×	181 0.7×	698 2.8×	137 0.6×	61	1.7k
Melloni N. Cook United States	17	526 1.1×	576 1.5×	132 0.5×	226 0.9×	211 0.9×	35	1.3k
Kathleen B. Quast United States	10	544 1.2×	397 1.1×	215 0.8×	520 2.1×	97 0.4×	13	1.4k
Patrice Congar France	20	1.1k 2.3×	445 1.2×	160 0.6×	387 1.5×	116 0.5×	31	1.6k
Elizabeth K. Unger United States	10	373 0.8×	263 0.7×	515 1.9×	244 1.0×	237 1.0×	12	1.3k
Ricardo M. Leão Brazil	19	647 1.4×	482 1.3×	156 0.6×	459 1.8×	81 0.3×	52	1.3k
Zhonghua Lu China	12	388 0.8×	349 0.9×	63 0.2×	233 0.9×	128 0.5×	33	1.3k
Fulvia Berton United States	19	910 1.9×	629 1.7×	87 0.3×	341 1.4×	185 0.8×	38	1.6k
Douglas J. Guarnieri United States	20	450 1.0×	419 1.1×	641 2.3×	364 1.5×	266 1.1×	22	1.5k

Countries citing papers authored by Gordon M. Shepherd

Since Specialization

Citations

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

Fields of papers citing papers by Gordon M. Shepherd

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gordon M. Shepherd

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

All Works

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8 of 8 papers shown

Wood, Lydia & Gordon M. Shepherd. (2010). Synaptic circuit abnormalities of motor-frontal layer 2/3 pyramidal neurons in a mutant mouse model of Rett syndrome. Neurobiology of Disease. 38(2). 281–287. 45 indexed citations

Wood, Lydia, Noah W. Gray, Zhaolan Zhou, Michael E. Greenberg, & Gordon M. Shepherd. (2009). Synaptic Circuit Abnormalities of Motor-Frontal Layer 2/3 Pyramidal Neurons in an RNA Interference Model of Methyl-CpG-Binding Protein 2 Deficiency. Journal of Neuroscience. 29(40). 12440–12448. 86 indexed citations

Bureau, Ingrid, Gordon M. Shepherd, & Karel Svoboda. (2008). Circuit and Plasticity Defects in the Developing Somatosensory Cortex ofFmr1Knock-Out Mice. Journal of Neuroscience. 28(20). 5178–5188. 164 indexed citations

Sternson, Scott M., Gordon M. Shepherd, & Jeffrey M. Friedman. (2005). Topographic mapping of VMH → arcuate nucleus microcircuits and their reorganization by fasting. Nature Neuroscience. 8(10). 1356–1363. 251 indexed citations

Ahmad, Iqbal, Trese Leinders‐Zufall, Jeffery D. Kocsis, et al.. (1994). Retinal ganglion cells express a cGMP-gated cation conductance activatable by nitric oxide donors. Neuron. 12(1). 155–165. 211 indexed citations

Williamson, Anne, Dennis D. Spencer, & Gordon M. Shepherd. (1993). Comparison between the membrane and synaptic properties of human and rodent dentate granule cells. Brain Research. 622(1-2). 194–202. 54 indexed citations

Breer, Heinz & Gordon M. Shepherd. (1993). Implications of the NO/cGMP system for olfaction. Trends in Neurosciences. 16(1). 5–9. 205 indexed citations

Shepherd, Gordon M.. (1991). Sensory transduction: Entering the mainstream of membrane signaling. Cell. 67(5). 845–851. 50 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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