Sheetal Sharma

85 total papers · 584 total citations
43 papers, 395 citations indexed

About

Sheetal Sharma is a scholar working on Pulmonary and Respiratory Medicine, Economics and Econometrics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Sheetal Sharma has authored 43 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Pulmonary and Respiratory Medicine, 8 papers in Economics and Econometrics and 7 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Sheetal Sharma's work include Global Maternal and Child Health (5 papers), Maternal and Perinatal Health Interventions (4 papers) and Health Systems, Economic Evaluations, Quality of Life (4 papers). Sheetal Sharma is often cited by papers focused on Global Maternal and Child Health (5 papers), Maternal and Perinatal Health Interventions (4 papers) and Health Systems, Economic Evaluations, Quality of Life (4 papers). Sheetal Sharma collaborates with scholars based in United Kingdom, United States and India. Sheetal Sharma's co-authors include Edwin van Teijlingen, Julia Hussein, Dileep Mavalankar, Yogesh Punekar, Padam Simkhada, Vanora Hundley, Lucia D’Ambruoso, Catherine Angell, Nicolas Penel and Stephanie Manson and has published in prestigious journals such as Blood, Gastroenterology and PLoS ONE.

In The Last Decade

Sheetal Sharma

38 papers receiving 378 citations

Author Peers

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

Author						Papers	Cites
Sheetal Sharma	139	131	65	61	48	43	395
Paula Stewart	89 0.6×	53 0.4×	70 1.1×	61 1.0×	56 1.2×	36	354
Shaofei Su	98 0.7×	39 0.3×	56 0.9×	104 1.7×	38 0.8×	46	405
Robin Ducharme	92 0.7×	71 0.5×	29 0.4×	32 0.5×	88 1.8×	34	370
Reva Tripathi	161 1.2×	61 0.5×	58 0.9×	151 2.5×	64 1.3×	61	444
Deepa Maheswari Narasimhulu	55 0.4×	49 0.4×	41 0.6×	139 2.3×	44 0.9×	38	438
Mazou Ngou Temgoua	71 0.5×	59 0.5×	35 0.5×	14 0.2×	55 1.1×	45	423
Edwin M. Gold	178 1.3×	40 0.3×	57 0.9×	94 1.5×	31 0.6×	44	438
Noriko Fujita	164 1.2×	35 0.3×	84 1.3×	57 0.9×	36 0.8×	43	432
L. Hidalgo	111 0.8×	24 0.2×	97 1.5×	56 0.9×	21 0.4×	26	415
Mehdi Aloosh	79 0.6×	75 0.6×	37 0.6×	11 0.2×	20 0.4×	30	362

Countries citing papers authored by Sheetal Sharma

Since Specialization

Citations

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

Fields of papers citing papers by Sheetal Sharma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheetal Sharma

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