Grant D. Schiller

18 total papers · 534 total citations
13 papers, 452 citations indexed

About

Grant D. Schiller is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Plant Science. According to data from OpenAlex, Grant D. Schiller has authored 13 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cellular and Molecular Neuroscience, 7 papers in Molecular Biology and 5 papers in Plant Science. Recurrent topics in Grant D. Schiller's work include Neuroscience and Neuropharmacology Research (6 papers), Receptor Mechanisms and Signaling (4 papers) and Cholinesterase and Neurodegenerative Diseases (4 papers). Grant D. Schiller is often cited by papers focused on Neuroscience and Neuropharmacology Research (6 papers), Receptor Mechanisms and Signaling (4 papers) and Cholinesterase and Neurodegenerative Diseases (4 papers). Grant D. Schiller collaborates with scholars based in Australia and United States. Grant D. Schiller's co-authors include David H. Overstreet, Lynette C. Daws, D H Farb, Terrell T. Gibbs, Ann D. Crocker, Roger W. Russell, Olgierd Puciłowski, Izabela Rozenberg, Linda K. Friedman and David H. Farb and has published in prestigious journals such as Brain Research, Annals of the New York Academy of Sciences and Biochemical Pharmacology.

In The Last Decade

Grant D. Schiller

13 papers receiving 436 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Grant D. Schiller	285	161	109	92	72	13	452
Antoine Lenègre	236 0.8×	119 0.7×	94 0.9×	75 0.8×	54 0.8×	14	469
Rachel F. Genn	315 1.1×	233 1.4×	77 0.7×	82 0.9×	111 1.5×	12	514
Mark C. Moffett	227 0.8×	90 0.6×	154 1.4×	121 1.3×	69 1.0×	17	489
Vanessa Beijamini	236 0.8×	131 0.8×	112 1.0×	109 1.2×	65 0.9×	32	550
Matthew O’Callaghan	207 0.7×	112 0.7×	137 1.3×	46 0.5×	53 0.7×	16	431
Jaclyn I. Wamsteeker	283 1.0×	146 0.9×	141 1.3×	125 1.4×	101 1.4×	6	495
Huub Rijk	221 0.8×	146 0.9×	73 0.7×	94 1.0×	74 1.0×	14	416
Justin L. LaPorte	224 0.8×	142 0.9×	91 0.8×	141 1.5×	120 1.7×	14	525
Daniel K. Reinstein	253 0.9×	120 0.7×	110 1.0×	91 1.0×	106 1.5×	15	542
Nadège Ripoll	221 0.8×	183 1.1×	85 0.8×	65 0.7×	37 0.5×	7	452

Countries citing papers authored by Grant D. Schiller

Since Specialization

Citations

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

Fields of papers citing papers by Grant D. Schiller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Grant D. Schiller. 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 Grant D. Schiller. The network helps show where Grant D. Schiller may publish in the future.

Co-authorship network of co-authors of Grant D. Schiller

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

All Works

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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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