Sheetal D Lad

30.1k total citations
2 papers, 3 citations indexed

About

Sheetal D Lad is a scholar working on Nephrology, Neurology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Sheetal D Lad has authored 2 papers receiving a total of 3 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Nephrology, 1 paper in Neurology and 1 paper in Cardiology and Cardiovascular Medicine. Recurrent topics in Sheetal D Lad's work include Neonatal and fetal brain pathology (1 paper), Traumatic Brain Injury and Neurovascular Disturbances (1 paper) and Renal Diseases and Glomerulopathies (1 paper). Sheetal D Lad is often cited by papers focused on Neonatal and fetal brain pathology (1 paper), Traumatic Brain Injury and Neurovascular Disturbances (1 paper) and Renal Diseases and Glomerulopathies (1 paper). Sheetal D Lad collaborates with scholars based in India. Sheetal D Lad's co-authors include Suresh Kumar Angurana, Karthi Nallasamy, Ram Vasudevan Nampoothiri, Arun Baranwal, Muralidharan Jayashree, Deepesh Lad, Vivek Kumar, Pankaj Malhotra and Joyita Bharati and has published in prestigious journals such as The Indian Journal of Pediatrics and Transfusion and Apheresis Science.

In The Last Decade

Sheetal D Lad

1 paper receiving 3 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h					Papers	Cites
Sheetal D Lad India	1	2	1	1	1	2	3
Diana Ribeiro Portugal	2	2 1.0×	1 1.0×			5	4
Ekaterina Gilyarova Russia	1	2 1.0×	1 1.0×			2	2
Alexandru Caraus Romania	2	2 1.0×			1 1.0×	5	3
E. Abela Malta	2	2 1.0×				3	5
А.И. Кузин Russia	2	2 1.0×	1 1.0×			6	3
M Mishriky Egypt	1	2 1.0×				2	2
Antoine Bondue Belgium	1	2 1.0×				2	2
L Grib Moldova	2	2 1.0×				3	2
Sarah Cornell United States	2	2 1.0×				3	2
Kristine Jubele Latvia	2	2 1.0×	1 1.0×			2	2

Countries citing papers authored by Sheetal D Lad

Since Specialization

Citations

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

Fields of papers citing papers by Sheetal D Lad

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheetal D Lad

This figure shows the co-authorship network connecting the top 25 collaborators of Sheetal D Lad. A scholar is included among the top collaborators of Sheetal D Lad 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 D Lad. Sheetal D Lad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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2 of 2 papers shown

1.

Lad, Sheetal D, et al.. (2021). Efficacy and Safety of Intravenous Labetalol in Acute Hypertensive Crisis in Children. The Indian Journal of Pediatrics. 89(1). 7–12. 3 indexed citations

2.

Nampoothiri, Ram Vasudevan, Vivek Kumar, Joyita Bharati, et al.. (2020). Hematopoietic stem cell donor with IgA nephropathy: Challenges and management algorithm. Transfusion and Apheresis Science. 59(4). 102781–102781.

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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