S G Sydserff

22 total papers · 729 total citations
16 papers, 547 citations indexed

About

S G Sydserff is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Neurology. According to data from OpenAlex, S G Sydserff has authored 16 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cellular and Molecular Neuroscience, 6 papers in Molecular Biology and 6 papers in Neurology. Recurrent topics in S G Sydserff's work include Neuroscience and Neuropharmacology Research (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers) and Neurological Disease Mechanisms and Treatments (4 papers). S G Sydserff is often cited by papers focused on Neuroscience and Neuropharmacology Research (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers) and Neurological Disease Mechanisms and Treatments (4 papers). S G Sydserff collaborates with scholars based in United States, Canada and United Kingdom. S G Sydserff's co-authors include A.J. Cross, A R Green, Thomas J. Hudzik, Krista L. Gilby, Dan Widzowski, Gene C. Palmer, B. Anthony Bell, Ladislav Mrzljak, Richard Green and H.A. Robertson and has published in prestigious journals such as Stroke, Brain Research and Annals of the New York Academy of Sciences.

In The Last Decade

S G Sydserff

16 papers receiving 531 citations

Author Peers

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

Author						Papers	Cites
S G Sydserff	205	191	189	113	76	16	547
Sharon Ohayon	156 0.8×	232 1.2×	116 0.6×	85 0.8×	98 1.3×	25	616
Elizabeth J. Hohnadel	266 1.3×	199 1.0×	152 0.8×	68 0.6×	39 0.5×	10	574
Matthew Williams	232 1.1×	140 0.7×	109 0.6×	59 0.5×	43 0.6×	14	607
Flávia Mahatma Schneider Soares	138 0.7×	126 0.7×	60 0.3×	75 0.7×	118 1.6×	12	455
Marina Rossato Adami	107 0.5×	120 0.6×	83 0.4×	72 0.6×	45 0.6×	25	544
Hector De Jesús‐Cortés	211 1.0×	186 1.0×	85 0.4×	61 0.5×	94 1.2×	11	514
Soraya Wilke Saliba	198 1.0×	126 0.7×	223 1.2×	49 0.4×	54 0.7×	22	619
Sara M. Beni	209 1.0×	133 0.7×	96 0.5×	69 0.6×	193 2.5×	9	598
Jake T. Neumann	224 1.1×	127 0.7×	156 0.8×	52 0.5×	62 0.8×	27	598
Zhigao Huang	223 1.1×	306 1.6×	138 0.7×	35 0.3×	115 1.5×	9	520

Countries citing papers authored by S G Sydserff

Since Specialization

Citations

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

Fields of papers citing papers by S G Sydserff

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S G Sydserff. 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 S G Sydserff. The network helps show where S G Sydserff may publish in the future.

Co-authorship network of co-authors of S G Sydserff

This figure shows the co-authorship network connecting the top 25 collaborators of S G Sydserff. A scholar is included among the top collaborators of S G Sydserff 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 S G Sydserff. S G Sydserff 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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