S. Kayemba‐Kay’s

48 total papers · 769 total citations
29 papers, 376 citations indexed

About

S. Kayemba‐Kay’s is a scholar working on Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, S. Kayemba‐Kay’s has authored 29 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pediatrics, Perinatology and Child Health, 8 papers in Pulmonary and Respiratory Medicine and 5 papers in Surgery. Recurrent topics in S. Kayemba‐Kay’s's work include Birth, Development, and Health (6 papers), Gestational Diabetes Research and Management (4 papers) and Neonatal Respiratory Health Research (4 papers). S. Kayemba‐Kay’s is often cited by papers focused on Birth, Development, and Health (6 papers), Gestational Diabetes Research and Management (4 papers) and Neonatal Respiratory Health Research (4 papers). S. Kayemba‐Kay’s collaborates with scholars based in France, United Kingdom and Switzerland. S. Kayemba‐Kay’s's co-authors include Peter C. Hindmarsh, Michael Geary, John‏ Kingdom, Charles H. Rodeck, Peter C. Hindmarsh, P J Pringle, Anne Héron, Catherine Peters, Nathan R. Hill and Patrice François and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and The Journal of Pediatrics.

In The Last Decade

S. Kayemba‐Kay’s

27 papers receiving 366 citations

Author Peers

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

Author						Papers	Cites
S. Kayemba‐Kay’s	183	95	75	53	48	29	376
Elizabeth Eklund	115 0.6×	139 1.5×	86 1.1×	62 1.2×	47 1.0×	27	445
Allahyar Jazayeri	128 0.7×	177 1.9×	66 0.9×	42 0.8×	39 0.8×	33	422
Itsuko Sato	189 1.0×	86 0.9×	70 0.9×	46 0.9×	21 0.4×	22	339
Serena Ottanelli	138 0.8×	197 2.1×	35 0.5×	55 1.0×	47 1.0×	26	410
Onome Ogueh	178 1.0×	157 1.7×	61 0.8×	44 0.8×	48 1.0×	27	383
Nao Murabayashi	246 1.3×	158 1.7×	63 0.8×	56 1.1×	69 1.4×	24	425
Alexander Weichert	134 0.7×	88 0.9×	75 1.0×	57 1.1×	74 1.5×	39	374
Diana Wolfe	120 0.7×	73 0.8×	44 0.6×	73 1.4×	41 0.9×	37	341
C. Scott Russell	149 0.8×	110 1.2×	63 0.8×	22 0.4×	30 0.6×	35	374
Laetitia Guillemette	234 1.3×	246 2.6×	61 0.8×	50 0.9×	49 1.0×	16	415

Countries citing papers authored by S. Kayemba‐Kay’s

Since Specialization

Citations

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

Fields of papers citing papers by S. Kayemba‐Kay’s

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Kayemba‐Kay’s. 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. Kayemba‐Kay’s. The network helps show where S. Kayemba‐Kay’s may publish in the future.

Co-authorship network of co-authors of S. Kayemba‐Kay’s

This figure shows the co-authorship network connecting the top 25 collaborators of S. Kayemba‐Kay’s. A scholar is included among the top collaborators of S. Kayemba‐Kay’s 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. Kayemba‐Kay’s. S. Kayemba‐Kay’s 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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