Payal Shah

91 total papers · 846 total citations
54 papers, 584 citations indexed

About

Payal Shah is a scholar working on Genetics, Pediatrics, Perinatology and Child Health and Hematology. According to data from OpenAlex, Payal Shah has authored 54 papers receiving a total of 584 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Genetics, 10 papers in Pediatrics, Perinatology and Child Health and 10 papers in Hematology. Recurrent topics in Payal Shah's work include Hemoglobinopathies and Related Disorders (18 papers), Iron Metabolism and Disorders (10 papers) and Health Systems, Economic Evaluations, Quality of Life (5 papers). Payal Shah is often cited by papers focused on Hemoglobinopathies and Related Disorders (18 papers), Iron Metabolism and Disorders (10 papers) and Health Systems, Economic Evaluations, Quality of Life (5 papers). Payal Shah collaborates with scholars based in United States, Germany and Thailand. Payal Shah's co-authors include Michael C. K. Khoo, Thomas D. Coates, Patjanaporn Chalacheva, R. Kato, Juan Espinoza, Jon Detterich, John C. Wood, John Sunwoo, Kathrin Maedler and Amin Ardestani and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.

In The Last Decade

Payal Shah

43 papers receiving 572 citations

Author Peers

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

Author						Papers	Cites
Payal Shah	185	113	108	103	94	54	584
Preamrudee Poomthavorn	88 0.5×	205 1.8×	76 0.7×	61 0.6×	125 1.3×	59	625
Miller Dr	67 0.4×	46 0.4×	114 1.1×	89 0.9×	58 0.6×	43	587
M. Katz	235 1.3×	108 1.0×	184 1.7×	57 0.6×	46 0.5×	38	682
A. Orsatti	60 0.3×	209 1.8×	90 0.8×	83 0.8×	88 0.9×	37	507
Tamer Hassan	137 0.7×	33 0.3×	235 2.2×	54 0.5×	46 0.5×	57	640
Patrizia Bruzzi	54 0.3×	201 1.8×	38 0.4×	121 1.2×	66 0.7×	35	603
Mai S. Sater	54 0.3×	34 0.3×	75 0.7×	53 0.5×	122 1.3×	33	597
Katalin Dittrich	55 0.3×	36 0.3×	42 0.4×	64 0.6×	147 1.6×	33	624
Tomasz Hryszko	69 0.4×	34 0.3×	138 1.3×	140 1.4×	87 0.9×	73	696
Judith M. Schlaeger	151 0.8×	49 0.4×	66 0.6×	58 0.6×	81 0.9×	60	618

Countries citing papers authored by Payal Shah

Since Specialization

Citations

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

Fields of papers citing papers by Payal Shah

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Payal Shah

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