Pratibha Sharma

918 citations
57 papers · 594 indexed · h-index 14
Topics
Computational Drug Discovery Methods (7 papers)Hepatitis B Virus Studies (5 papers)Cholinesterase and Neurodegenerative Diseases (5 papers)
Journals
SHILAP Revista de lepidopterologíaMoleculesLife Sciences
Partner nations
IndiaUnited StatesNepal

In The Last Decade

Pratibha Sharma

53 papers receiving 553 citations

Peers

Pratibha Sharma
Comparison fields: 5 of 119
  • Surgery 112
  • Organic Chemistry 91
  • Infectious Diseases 83
  • Computer Vision and Pattern Recognition 76
  • Public Health, Environmental and Occupational Health 70
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Yu Shi China
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Frédéric Petit France
Veera Baladandayuthapani United States
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Pratibha Sharma relative to Li‐Yuan Bai Taiwan Li‐Yuan Bai's profile →
Citations per field
00.5×4.8×
Li‐Yuan Bai · 1×
Citations per year

Countries citing papers authored by Pratibha Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Pratibha Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pratibha Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Pratibha Sharma. A scholar is included among the top collaborators of Pratibha 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 Pratibha Sharma. Pratibha 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 4
2 0
3 1
4 0
5 1
6 4
7 7
8 1
9 13
10 9
11 14
12
Comparative Evaluation of the External Gonial Angle in Adults Patients with Class I Malocclusion from Panoramic Radiographs and Lateral Cephalograms
0
13 6
14 101
15 4
16 15
17 5
18 10
19
Text Security using 2D Cellular Automata Rules
9
20 16

About Pratibha Sharma

Pratibha Sharma is a scholar working on Complementary and Manual Therapy, Infectious Diseases and Computational Theory and Mathematics, having authored 57 papers that have together received 594 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Hepatitis B Virus Studies (5 papers) and Cholinesterase and Neurodegenerative Diseases (5 papers). The work is most often cited by research in Genetics (70 citations), Cancer Research (68 citations) and Infectious Diseases (83 citations). Pratibha Sharma has collaborated with scholars based in India, United States and Nepal. Frequent co-authors include Manoj Diwakar, Manjinder Singh, Sumit Dahal, Mahalaxmi Mohan, Vishal Gupta, Neetu Jha, Birendra Amgai, Bharti Malhotra, Hemant Malhotra and Thakur Gurjeet Singh. Their work appears in journals such as SHILAP Revista de lepidopterología, Molecules and Life Sciences.

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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