Sudhaa Sharma

45 total papers · 706 total citations
32 papers, 504 citations indexed

About

Sudhaa Sharma is a scholar working on Endocrinology, Diabetes and Metabolism, Orthopedics and Sports Medicine and Pathology and Forensic Medicine. According to data from OpenAlex, Sudhaa Sharma has authored 32 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Endocrinology, Diabetes and Metabolism, 8 papers in Orthopedics and Sports Medicine and 7 papers in Pathology and Forensic Medicine. Recurrent topics in Sudhaa Sharma's work include Bone health and osteoporosis research (7 papers), Menopause: Health Impacts and Treatments (6 papers) and Vitamin D Research Studies (4 papers). Sudhaa Sharma is often cited by papers focused on Bone health and osteoporosis research (7 papers), Menopause: Health Impacts and Treatments (6 papers) and Vitamin D Research Studies (4 papers). Sudhaa Sharma collaborates with scholars based in India. Sudhaa Sharma's co-authors include Annil Mahajan, Vishal Tandon, Neha Mahajan, VishalR Tandon, Vijay Khajuria, Vivek Mahajan, Dinesh Kumar, Shashi Gupta, Manju Gupta and Sonia Malik and has published in prestigious journals such as JOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH, Indian Journal of Medical Sciences and Journal of Mid-life Health.

In The Last Decade

Sudhaa Sharma

30 papers receiving 454 citations

Author Peers

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

Author Last Decade Papers Cites
Sudhaa Sharma 155 118 109 77 57 32 504
Marzieh Bakhshayeshkaram 133 0.9× 104 0.9× 110 1.0× 80 1.0× 39 0.7× 29 533
Sukanya Chaikittisilpa 152 1.0× 137 1.2× 112 1.0× 62 0.8× 72 1.3× 39 456
Gabriela Luporini Saraiva 122 0.8× 147 1.2× 231 2.1× 63 0.8× 83 1.5× 21 567
Rajesh Khadgawat 119 0.8× 56 0.5× 197 1.8× 75 1.0× 33 0.6× 43 486
Margaret Rees 197 1.3× 142 1.2× 124 1.1× 127 1.6× 106 1.9× 26 571
Alexander Tong Boon Tan 178 1.1× 56 0.5× 99 0.9× 60 0.8× 40 0.7× 28 454
Veena Ekbote 115 0.7× 80 0.7× 111 1.0× 227 2.9× 52 0.9× 47 582
Eman Sheshah 83 0.5× 74 0.6× 169 1.6× 54 0.7× 23 0.4× 25 491
Chengchen Zhang 67 0.4× 113 1.0× 145 1.3× 73 0.9× 54 0.9× 22 528
Mehdi Ebrahimi 68 0.4× 61 0.5× 71 0.7× 43 0.6× 30 0.5× 43 470

Countries citing papers authored by Sudhaa Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Sudhaa Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sudhaa Sharma

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