Manisha Prajapat

1.6k citations
46 papers · 1.0k indexed · h-index 16
Topics
SARS-CoV-2 and COVID-19 Research (14 papers)Computational Drug Discovery Methods (9 papers)COVID-19 Clinical Research Studies (8 papers)

In The Last Decade

Manisha Prajapat

41 papers receiving 986 citations

Peers

Manisha Prajapat
Comparison fields: 5 of 118
  • Infectious Diseases 564
  • Molecular Biology 225
  • Computational Theory and Mathematics 186
  • Neurology 176
  • Epidemiology 77
Replace Anusuya Bhattacharyya with:
Anusuya Bhattacharyya India
Subodh Kumar India
Nishant Shekhar India
Indwiani Astuti Indonesia
Stefanie Gierer Germany
Adeline Heurich Germany
Mohsen Nabi‐Afjadi Iran
Yung‐Hung Luo Taiwan
Monika Litviňuková Germany
Jing Bao China
Manisha Prajapat relative to Anusuya Bhattacharyya India Anusuya Bhattacharyya's profile →
Citations per field
00.5×2.5×
Anusuya Bhattacharyya · 1×
Citations per year

Countries citing papers authored by Manisha Prajapat

Since Specialization
Citations

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

Fields of papers citing papers by Manisha Prajapat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manisha Prajapat

This figure shows the co-authorship network connecting the top 25 collaborators of Manisha Prajapat. A scholar is included among the top collaborators of Manisha Prajapat 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 Prajapat. Manisha Prajapat 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 0
2 1
3 4
4 9
5 6
6 5
7 29
8 42
9 8
10 43
11 26
12 33
13 175
14 25
15 141
16 13
17 26
18 7
19 6
20 9

About Manisha Prajapat

Manisha Prajapat is a scholar working on Infectious Diseases, Computational Theory and Mathematics and General Dentistry, having authored 46 papers that have together received 1.0k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (14 papers), Computational Drug Discovery Methods (9 papers) and COVID-19 Clinical Research Studies (8 papers). The work is most often cited by research in Infectious Diseases (564 citations), Computational Theory and Mathematics (186 citations) and Neurology (176 citations). Manisha Prajapat has collaborated with scholars based in India, United States and Pakistan. Frequent co-authors include Hardeep Kaur, Subodh Kumar, Bikash Medhi, Phulen Sarma, Ajay Prakash, Pramod Avti, Nishant Shekhar, Anusuya Bhattacharyya, Deba Prasad Dhibar and Sanjay Kumar Singh. Their work appears in journals such as Scientific Reports, Journal of Ethnopharmacology and European Journal of Pharmacology.

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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