Vaishali Deshmukh

68 total papers · 1.8k total citations
30 papers, 317 citations indexed

About

Vaishali Deshmukh is a scholar working on Endocrinology, Diabetes and Metabolism, Pediatrics, Perinatology and Child Health and Nutrition and Dietetics. According to data from OpenAlex, Vaishali Deshmukh has authored 30 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Endocrinology, Diabetes and Metabolism, 6 papers in Pediatrics, Perinatology and Child Health and 4 papers in Nutrition and Dietetics. Recurrent topics in Vaishali Deshmukh's work include Diabetes Management and Research (5 papers), Global Maternal and Child Health (4 papers) and Child Nutrition and Water Access (4 papers). Vaishali Deshmukh is often cited by papers focused on Diabetes Management and Research (5 papers), Global Maternal and Child Health (4 papers) and Child Nutrition and Water Access (4 papers). Vaishali Deshmukh collaborates with scholars based in India, United States and Australia. Vaishali Deshmukh's co-authors include Narendra K. Arora, Manoja Kumar Das, Donald H. Silberberg, Sheffali Gulati, R. M. Pandey, VivekS Adhish, Maureen S. Durkin, Siddarth Ramji, Sanjiv Kumar and Rajesh Sagar and has published in prestigious journals such as PLoS ONE, Journal of Physics D Applied Physics and BMC Public Health.

In The Last Decade

Vaishali Deshmukh

22 papers receiving 297 citations

Author Peers

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

Author Last Decade Papers Cites
Vaishali Deshmukh 80 70 68 49 47 30 317
Reem Al‐Sabah 22 0.3× 74 1.1× 32 0.5× 83 1.7× 25 0.5× 25 357
I‐Lynn Lee 31 0.4× 72 1.0× 22 0.3× 24 0.5× 77 1.6× 26 352
Maria Eduarda dos Santos Puga 58 0.7× 10 0.1× 20 0.3× 93 1.9× 21 0.4× 32 334
AE Aghaji 11 0.1× 80 1.1× 28 0.4× 41 0.8× 46 1.0× 48 365
Ιωάννα Ντάλλα 37 0.5× 25 0.4× 13 0.2× 16 0.3× 15 0.3× 23 361
Amichai Brezner 15 0.2× 71 1.0× 16 0.2× 85 1.7× 14 0.3× 32 297
Sarah Watkins 19 0.2× 78 1.1× 20 0.3× 52 1.1× 59 1.3× 27 354
Mara Tommasi 125 1.6× 25 0.4× 10 0.1× 14 0.3× 27 0.6× 23 333
Pei‐Ying Ling 55 0.7× 36 0.5× 9 0.1× 89 1.8× 57 1.2× 20 354
Yueyue You 70 0.9× 30 0.4× 6 0.1× 52 1.1× 25 0.5× 27 305

Countries citing papers authored by Vaishali Deshmukh

Since Specialization
Citations

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

Fields of papers citing papers by Vaishali Deshmukh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vaishali Deshmukh

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