Sameer Sharma

103 papers receiving 2.3k citations

Peers

Sameer Sharma
Comparison fields: 5 of 120
  • Molecular Medicine 354
  • Geriatrics and Gerontology 192
  • Pharmacology 205
  • Biochemistry 131
  • Endocrinology, Diabetes and Metabolism 272
Replace Susana Sánchez‐Fidalgo with:
Susana Sánchez‐Fidalgo Spain
Seyed Mohammad Nabavi Iran
Rozita Naseri Iran
Hong Ding China
Kalyanam Nagabhushanam United States
Isabel Villegas Spain
Carmela Spagnuolo Italy
Sithandiwe E. Mazibuko-Mbeje South Africa
Young‐Sam Keum South Korea
Jung‐Mi Yun South Korea
Sameer Sharma relative to Susana Sánchez‐Fidalgo Spain Susana Sánchez‐Fidalgo's profile →
Citations per field
00.5×2×2.7×
Susana Sánchez‐Fidalgo · 1×
Citations per year

Countries citing papers authored by Sameer Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Sameer Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sameer Sharma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sameer Sharma Line = papers co-authored together Sameer Sharma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006280
2 2007186
3 2007185
4 2005162
5 2013162
6 2009119
7 201083
8 200679
9 200777
10 200875
11 200875
12 200968
13 201951
14 200745
15 202436
16 200635
17 200635
18 201030
19 200529
20 201429

About Sameer Sharma

Sameer Sharma is a scholar working on Molecular Biology, Computational Theory and Mathematics, Complementary and alternative medicine, Endocrinology, Diabetes and Metabolism and Immunology, having authored 116 papers that have together received 2.4k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (13 papers), Ovarian cancer diagnosis and treatment (7 papers), Natural Antidiabetic Agents Studies (7 papers), Diverse Scientific Research Studies (6 papers), Synthesis and biological activity (6 papers), Heme Oxygenase-1 and Carbon Monoxide (4 papers), Phytochemicals and Medicinal Plants (4 papers) and Pain Mechanisms and Treatments (4 papers). The work is most often cited by research in Molecular Medicine (354 citations), Geriatrics and Gerontology (192 citations), Pharmacology (205 citations), Biochemistry (131 citations) and Endocrinology, Diabetes and Metabolism (272 citations). Sameer Sharma has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Kanwaljit Chopra, Anurag Kuhad, Sachin Kulkarni, Naveen Tirkey, Muragundla Anjaneyulu, Sangeeta Pilkhwal Sah, Amit K. Gupta, P. Jeffrey Conn, Alice L. Rodriguez and Craig W. Lindsley. Their work appears in journals such as Journal of Clinical Oncology, International Journal of Applied Pharmaceutics, Clinical Cancer Research, International Journal of Gynecological Cancer and Current Diabetes Reviews.

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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