Manisha Sharma

1.7k citations
57 papers · 1.3k indexed · h-index 20
Topics
Anesthesia and Pain Management (10 papers)Advancements in Transdermal Drug Delivery (10 papers)Advanced Drug Delivery Systems (9 papers)

In The Last Decade

Manisha Sharma

56 papers receiving 1.2k citations

Peers

Manisha Sharma
Comparison fields: 5 of 121
  • Pharmaceutical Science 358
  • Molecular Biology 317
  • Biomedical Engineering 290
  • Biotechnology 118
  • Biomaterials 111
Replace Yuhui Wei with:
Yuhui Wei China
Kelly N. Ibsen United States
Bhushan P. Chaudhari India
Chi‐Hsien Liu Taiwan
Na Xu China
Rolf Daniels Germany
Tejal Mehta India
Maria Rosa Gigliobianco Italy
Giovanna Rassu Italy
Yan Yang China
Manisha Sharma relative to Yuhui Wei China Yuhui Wei's profile →
Citations per field
00.5×5.4×
Yuhui Wei · 1×
Citations per year

Countries citing papers authored by Manisha Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Manisha Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manisha Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Manisha Sharma. A scholar is included among the top collaborators of Manisha 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 Manisha Sharma. Manisha Sharma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 5
2 1
3 6
4 8
5 23
6 0
7 10
8 15
9 9
10 24
11 1
12 13
13 13
14 45
15 30
16 48
17 103
18 4
19
Comparison of preloading with normal saline, 6% hydroxyethyl starch and 5% albumin on cardiovascular parameters during sitting neurosurgical operations
1
20 11

About Manisha Sharma

Manisha Sharma is a scholar working on Pharmaceutical Science, Molecular Medicine and Anesthesiology and Pain Medicine, having authored 57 papers that have together received 1.3k indexed citations. Recurring topics across this work include Anesthesia and Pain Management (10 papers), Advancements in Transdermal Drug Delivery (10 papers) and Advanced Drug Delivery Systems (9 papers). The work is most often cited by research in Pharmaceutical Science (358 citations), Molecular Medicine (74 citations) and Biotechnology (118 citations). Manisha Sharma has collaborated with scholars based in New Zealand, India and Australia. Frequent co-authors include Darren Svirskis, Jingyuan Wen, Sanjukta Duarah, Sudhir P. Singh, R. S. Sangwan, Sanjay Garg, Satya Narayan Patel, Andrew Hill, Geoffrey I. N. Waterhouse and Mahsa Motshakeri. Their work appears in journals such as Biomaterials, Analytical Biochemistry and Bioresource Technology.

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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