Uma Deshmukh

35 total papers · 993 total citations
16 papers, 253 citations indexed

About

Uma Deshmukh is a scholar working on Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Uma Deshmukh has authored 16 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pediatrics, Perinatology and Child Health, 7 papers in Obstetrics and Gynecology and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Uma Deshmukh's work include Maternal and fetal healthcare (6 papers), Maternal and Perinatal Health Interventions (4 papers) and Ectopic Pregnancy Diagnosis and Management (3 papers). Uma Deshmukh is often cited by papers focused on Maternal and fetal healthcare (6 papers), Maternal and Perinatal Health Interventions (4 papers) and Ectopic Pregnancy Diagnosis and Management (3 papers). Uma Deshmukh collaborates with scholars based in United States. Uma Deshmukh's co-authors include Katherine Kohari, Olga Grechukhina, Mert Ozan Bahtiyar, Sonya S. Abdel‐Razeq, Uma M. Reddy, Anna K. Sfakianaki, Lorie M. Harper, Sarah S. Osmundson, Annie Dude and Jane Adams and has published in prestigious journals such as American Journal of Obstetrics and Gynecology, Obstetrics and Gynecology and Vaccine.

In The Last Decade

Uma Deshmukh

13 papers receiving 243 citations

Author Peers

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

Author Last Decade Papers Cites
Uma Deshmukh 160 126 80 40 31 16 253
Nader Z. Rabie 152 0.9× 76 0.6× 125 1.6× 54 1.4× 39 1.3× 24 297
Andrew Child 125 0.8× 86 0.7× 173 2.2× 34 0.8× 50 1.6× 15 301
Adam C. Urato 107 0.7× 130 1.0× 111 1.4× 21 0.5× 34 1.1× 20 316
Rachel Sokal 79 0.5× 122 1.0× 30 0.4× 25 0.6× 98 3.2× 11 308
Federica Visconti 103 0.6× 58 0.5× 123 1.5× 11 0.3× 18 0.6× 25 252
Carolyn A. Lane 118 0.7× 133 1.1× 111 1.4× 36 0.9× 19 0.6× 13 313
Mendinaro Imcha 113 0.7× 105 0.8× 174 2.2× 33 0.8× 48 1.5× 19 258
AH Nassar 138 0.9× 89 0.7× 79 1.0× 16 0.4× 37 1.2× 17 286
Paola Quaresima 131 0.8× 41 0.3× 144 1.8× 14 0.3× 31 1.0× 22 281
Niharika Mehta 54 0.3× 98 0.8× 58 0.7× 15 0.4× 51 1.6× 20 220

Countries citing papers authored by Uma Deshmukh

Since Specialization
Citations

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

Fields of papers citing papers by Uma Deshmukh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Uma Deshmukh

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