Sissel Ida Schmidt

25 total papers · 618 total citations
12 papers, 311 citations indexed

About

Sissel Ida Schmidt is a scholar working on Cellular and Molecular Neuroscience, Neurology and Molecular Biology. According to data from OpenAlex, Sissel Ida Schmidt has authored 12 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cellular and Molecular Neuroscience, 7 papers in Neurology and 5 papers in Molecular Biology. Recurrent topics in Sissel Ida Schmidt's work include Parkinson's Disease Mechanisms and Treatments (6 papers), Nuclear Receptors and Signaling (4 papers) and Neurological disorders and treatments (3 papers). Sissel Ida Schmidt is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (6 papers), Nuclear Receptors and Signaling (4 papers) and Neurological disorders and treatments (3 papers). Sissel Ida Schmidt collaborates with scholars based in Denmark, United Kingdom and Spain. Sissel Ida Schmidt's co-authors include Morten Meyer, Morten Blaabjerg, Kristine Freude, Helle Bogetofte, Justyna Okarmus, Matias Ryding, Brent J. Ryan, Richard Wade‐Martins, Alberto Martínez‐Serrano and Martin R. Larsen and has published in prestigious journals such as PLoS ONE, Scientific Reports and Neurobiology of Disease.

In The Last Decade

Sissel Ida Schmidt

12 papers receiving 310 citations

Author Peers

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

Author						Papers	Cites
Sissel Ida Schmidt	146	126	108	65	64	12	311
Justyna Okarmus	184 1.3×	131 1.0×	81 0.8×	45 0.7×	65 1.0×	14	349
Udhaya Kumari	191 1.3×	96 0.8×	58 0.5×	55 0.8×	51 0.8×	8	350
Juliann D. Jaumotte	143 1.0×	109 0.9×	162 1.5×	43 0.7×	53 0.8×	15	350
Lucas Caldi Gomes	185 1.3×	110 0.9×	64 0.6×	45 0.7×	45 0.7×	16	328
Sachiko Noda	140 1.0×	141 1.1×	85 0.8×	71 1.1×	41 0.6×	14	330
Bradford Casey	134 0.9×	188 1.5×	153 1.4×	58 0.9×	121 1.9×	8	361
Kaitlyn M. L. Cramb	132 0.9×	94 0.7×	69 0.6×	43 0.7×	47 0.7×	11	309
Sara L. Domínguez	140 1.0×	81 0.6×	55 0.5×	67 1.0×	69 1.1×	14	329
Minjuan Bian	161 1.1×	97 0.8×	123 1.1×	25 0.4×	55 0.9×	15	334
Phillippa J. Carling	229 1.6×	83 0.7×	76 0.7×	61 0.9×	52 0.8×	10	341

Countries citing papers authored by Sissel Ida Schmidt

Since Specialization

Citations

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

Fields of papers citing papers by Sissel Ida Schmidt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sissel Ida Schmidt. 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 Sissel Ida Schmidt. The network helps show where Sissel Ida Schmidt may publish in the future.

Co-authorship network of co-authors of Sissel Ida Schmidt

This figure shows the co-authorship network connecting the top 25 collaborators of Sissel Ida Schmidt. A scholar is included among the top collaborators of Sissel Ida Schmidt 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 Sissel Ida Schmidt. Sissel Ida Schmidt 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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