Parag Sayal

54 total papers · 563 total citations
29 papers, 276 citations indexed

About

Parag Sayal is a scholar working on Surgery, Neurology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Parag Sayal has authored 29 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Surgery, 10 papers in Neurology and 6 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Parag Sayal's work include Neurosurgical Procedures and Complications (6 papers), Cerebrospinal fluid and hydrocephalus (5 papers) and Intracerebral and Subarachnoid Hemorrhage Research (4 papers). Parag Sayal is often cited by papers focused on Neurosurgical Procedures and Complications (6 papers), Cerebrospinal fluid and hydrocephalus (5 papers) and Intracerebral and Subarachnoid Hemorrhage Research (4 papers). Parag Sayal collaborates with scholars based in United Kingdom, India and Japan. Parag Sayal's co-authors include Adrian T. H. Casey, Ulpee Darbar, Yehani Wedatilake, Robin Lachmann, Annalisa Sechi, Douglas Chesher, Aidan Ryan, Aoife Waters, Elaine Murphy and Michael Oddy and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Neurology Neurosurgery & Psychiatry and Oncotarget.

In The Last Decade

Parag Sayal

25 papers receiving 270 citations

Author Peers

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

Author Last Decade Papers Cites
Parag Sayal 88 86 50 48 38 29 276
Mubarak Al‐Gahtany 17 0.2× 68 0.8× 28 0.6× 21 0.4× 49 1.3× 32 267
Farid Arman 76 0.9× 33 0.4× 28 0.6× 40 0.8× 50 1.3× 32 327
Şakir Berkarda 44 0.5× 84 1.0× 8 0.2× 42 0.9× 44 1.2× 30 329
Iva Gueorguieva 35 0.4× 23 0.3× 19 0.4× 28 0.6× 100 2.6× 20 293
Akira Saito 59 0.7× 125 1.5× 20 0.4× 11 0.2× 71 1.9× 34 315
Claudio Defilippi 41 0.5× 54 0.6× 69 1.4× 45 0.9× 57 1.5× 25 256
P. Forlodou 37 0.4× 139 1.6× 17 0.3× 11 0.2× 9 0.2× 25 284
Marek Kollár 85 1.0× 96 1.1× 9 0.2× 19 0.4× 35 0.9× 35 287
T Sugimoto 95 1.1× 88 1.0× 26 0.5× 49 1.0× 85 2.2× 21 328
Subbiah Sridhar 37 0.4× 79 0.9× 16 0.3× 27 0.6× 44 1.2× 34 296

Countries citing papers authored by Parag Sayal

Since Specialization
Citations

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

Fields of papers citing papers by Parag Sayal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Parag Sayal

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