Maya Kohli-Lynch

16 total papers · 2.0k total citations
11 papers, 466 citations indexed

About

Maya Kohli-Lynch is a scholar working on Pediatrics, Perinatology and Child Health, Nutrition and Dietetics and Clinical Psychology. According to data from OpenAlex, Maya Kohli-Lynch has authored 11 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pediatrics, Perinatology and Child Health, 6 papers in Nutrition and Dietetics and 5 papers in Clinical Psychology. Recurrent topics in Maya Kohli-Lynch's work include Child Nutrition and Water Access (6 papers), Infant Development and Preterm Care (6 papers) and Family and Disability Support Research (4 papers). Maya Kohli-Lynch is often cited by papers focused on Child Nutrition and Water Access (6 papers), Infant Development and Preterm Care (6 papers) and Family and Disability Support Research (4 papers). Maya Kohli-Lynch collaborates with scholars based in United Kingdom, United States and Uganda. Maya Kohli-Lynch's co-authors include Amir Kirolos, Pascal Geldsetzer, Sarah Mitchell, Harry Campbell, Thomas Williams, Cally J Tann, Joy E Lawn, Matthew Ellis, Fiorella Bianchi-Jassir and Clare Cutland and has published in prestigious journals such as PLoS ONE, Clinical Infectious Diseases and International Journal of Environmental Research and Public Health.

In The Last Decade

Maya Kohli-Lynch

10 papers receiving 456 citations

Author Peers

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

Author						Papers	Cites
Maya Kohli-Lynch	259	178	136	128	79	11	466
Adhanom Gebreegziabher Baraki	229 0.9×	192 1.1×	92 0.7×	203 1.6×	105 1.3×	23	543
Abbey Byrne	283 1.1×	207 1.2×	155 1.1×	57 0.4×	112 1.4×	11	441
Liliana Carvajal–Aguirre	279 1.1×	109 0.6×	75 0.6×	79 0.6×	184 2.3×	17	465
Kendra Siekmans	245 0.9×	302 1.7×	51 0.4×	118 0.9×	133 1.7×	22	551
Karl le Roux	232 0.9×	91 0.5×	95 0.7×	140 1.1×	229 2.9×	27	495
Aster Ferede	101 0.4×	119 0.7×	120 0.9×	93 0.7×	128 1.6×	12	432
Barnabas Natamba	119 0.5×	99 0.6×	98 0.7×	170 1.3×	124 1.6×	24	529
Cynthia Hunter	395 1.5×	154 0.9×	77 0.6×	56 0.4×	144 1.8×	12	519
Lorna Benton	285 1.1×	113 0.6×	43 0.3×	147 1.1×	224 2.8×	15	482
Adam Visconti	268 1.0×	94 0.5×	161 1.2×	129 1.0×	112 1.4×	24	531

Countries citing papers authored by Maya Kohli-Lynch

Since Specialization

Citations

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

Fields of papers citing papers by Maya Kohli-Lynch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maya Kohli-Lynch. 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 Maya Kohli-Lynch. The network helps show where Maya Kohli-Lynch may publish in the future.

Co-authorship network of co-authors of Maya Kohli-Lynch

This figure shows the co-authorship network connecting the top 25 collaborators of Maya Kohli-Lynch. A scholar is included among the top collaborators of Maya Kohli-Lynch 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 Maya Kohli-Lynch. Maya Kohli-Lynch 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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