Shweta Sharma

9.6k citations
88 papers · 2.9k indexed · h-index 32

Shweta Sharma

82 papers receiving 2.8k citations

Peers

Shweta Sharma
Comparison fields: 5 of 140
  • Endocrine and Autonomic Systems 226
  • Pharmaceutical Science 196
  • Reproductive Medicine 241
  • Sensory Systems 134
  • Applied Microbiology and Biotechnology 50
Replace Junjie Wang with:
Junjie Wang China
Maryam Majidinia Iran
Futoshi Okada Japan
Snehasikta Swarnakar India
Kazem Parivar Iran
Kun Zhang China
Alice P. Pentland United States
Dariush Shanehbandi Iran
Shuang Liang China
Meinhard Wlaschek Germany
Shweta Sharma relative to Junjie Wang China Junjie Wang's profile →
Citations per field
00.5×5.8×
Junjie Wang · 1×
Citations per year

Countries citing papers authored by Shweta Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Shweta Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Shweta 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 Shweta Sharma Line = papers co-authored together Shweta Sharma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202420
2 20243
3 20238
4 20222
5 202110
6 20206
7 202037
8 201937
9 201957
10 201888
11 201842
12 201748
13 201727
14 201630
15 201628
16
Isolation and characterization of Pseudomonas spp. and their evaluation in management of apple replant problem
20151
17 2015113
18 20143
19
Integrated management of collar rot in apple caused by Phytophthora cactorum
20143
20 201016

About Shweta Sharma

Shweta Sharma is a scholar working on Aging, Endocrine and Autonomic Systems and Sensory Systems, having authored 88 papers that have together received 2.9k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (11 papers), Neurobiology and Insect Physiology Research (6 papers), Ion Channels and Receptors (6 papers), Reproductive Biology and Fertility (6 papers), Cancer-related molecular mechanisms research (5 papers), Spaceflight effects on biology (4 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers) and Adipose Tissue and Metabolism (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (226 citations), Pharmaceutical Science (196 citations) and Reproductive Medicine (241 citations). Shweta Sharma has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Shunichi Shimasaki, Prabhat Ranjan Mishra, Shaik O. Rahaman, Rishov Goswami, Chandana Haldar, Venkatesh Teja Banala, Mark J. Cantwell, T J Kipps, Kinshi Kato and Santosh Satya. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and PLoS ONE.

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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