C Schaub

12 total papers · 401 total citations
5 papers, 292 citations indexed

About

C Schaub is a scholar working on Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine and Nutrition and Dietetics. According to data from OpenAlex, C Schaub has authored 5 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Endocrinology, Diabetes and Metabolism, 2 papers in Pathology and Forensic Medicine and 2 papers in Nutrition and Dietetics. Recurrent topics in C Schaub's work include Ophthalmology and Eye Disorders (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers) and Sleep and Wakefulness Research (1 paper). C Schaub is often cited by papers focused on Ophthalmology and Eye Disorders (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers) and Sleep and Wakefulness Research (1 paper). C Schaub collaborates with scholars based in United States. C Schaub's co-authors include Alan R. Schwartz, Dan E. Berkowitz, Clarke G. Tankersley, Christopher P. O’Donnell, PHILIP L. SMITH, A Soulairac, N Aymard, P Franchimont, P Franchimont and J J Legros and has published in prestigious journals such as American Journal of Respiratory and Critical Care Medicine, Acta Clinica Belgica and Therapies.

In The Last Decade

C Schaub

5 papers receiving 284 citations

Author Peers

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

Author						Papers	Cites
C Schaub	249	181	84	70	50	5	292
Noboru Narai	237 1.0×	293 1.6×	76 0.9×	81 1.2×	30 0.6×	2	327
Luis E. Pichard	268 1.1×	182 1.0×	94 1.1×	86 1.2×	23 0.5×	14	338
Julie A. Mugarza	189 0.8×	238 1.3×	55 0.7×	79 1.1×	11 0.2×	7	304
E. Gallinella	139 0.6×	176 1.0×	36 0.4×	49 0.7×	8 0.2×	3	224
Preston Broderick	224 0.9×	321 1.8×	51 0.6×	125 1.8×	10 0.2×	4	352
Jaime Corral‐Peñafiel	199 0.8×	266 1.5×	45 0.5×	127 1.8×	7 0.1×	8	335
Hualei Dong	118 0.5×	185 1.0×	26 0.3×	82 1.2×	8 0.2×	7	256
Zachary Taxin	88 0.4×	163 0.9×	87 1.0×	33 0.5×	7 0.1×	8	259
Nao Iiyori	186 0.7×	257 1.4×	45 0.5×	74 1.1×	5 0.1×	7	299
Salvatore Talamo	195 0.8×	260 1.4×	45 0.5×	130 1.9×	6 0.1×	5	332

Countries citing papers authored by C Schaub

Since Specialization

Citations

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

Fields of papers citing papers by C Schaub

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C Schaub. 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 C Schaub. The network helps show where C Schaub may publish in the future.

Co-authorship network of co-authors of C Schaub

This figure shows the co-authorship network connecting the top 25 collaborators of C Schaub. A scholar is included among the top collaborators of C Schaub 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 C Schaub. C Schaub 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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