Anita Verma

6.0k citations
186 papers · 4.7k indexed · 1 hit paper · h-index 31
Topics
Nanoparticle-Based Drug Delivery (23 papers)Bacillus and Francisella bacterial research (14 papers)Nanoplatforms for cancer theranostics (13 papers)
Partner nations
IndiaUnited StatesTaiwan

In The Last Decade

Anita Verma

173 papers receiving 4.6k citations

Hit Papers

Activation of Glutamatergic Neurotransmission by Ketamine...199720262006201619974008001.2k

Peers

Anita Verma
Comparison fields: 5 of 161
  • Cellular and Molecular Neuroscience 1.5k
  • Molecular Biology 1.2k
  • Pharmacology 828
  • Biological Psychiatry 657
  • Cognitive Neuroscience 630
Replace Madhavan Nair with:
Madhavan Nair United States
Mohammad Taghi Joghataei Iran
Yong Sik Kim South Korea
Zhan‐You Wang China
Henning Ulrich Brazil
Ahmed Nadeem Saudi Arabia
Dan Wang China
Andreas Zimmer Austria
Akira Sano Japan
Ji Ho Park South Korea
Anita Verma relative to Madhavan Nair United States Madhavan Nair's profile →
Citations per field
00.5×6.9×
Madhavan Nair · 1×
Citations per year

Countries citing papers authored by Anita Verma

Since Specialization
Citations

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

Fields of papers citing papers by Anita Verma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anita Verma

This figure shows the co-authorship network connecting the top 25 collaborators of Anita Verma. A scholar is included among the top collaborators of Anita Verma 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 Anita Verma. Anita Verma 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 1
2 0
3 11
4 0
5 3
6 0
7 39
8 7
9 12
10
Elucidation of Biological Activity of Silver Based Nanoparticles Using Plant Constituents of Syzygium cumini
5
11 34
12 20
13 5
14 10
15
Experimental Study of Anisotropic Shear Strength of Rock Joints
1
16 25
17 9
18 3
19 9
20 23

About Anita Verma

Anita Verma is a scholar working on Drug Discovery, Biomaterials and Virology, having authored 186 papers that have together received 4.7k indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (23 papers), Bacillus and Francisella bacterial research (14 papers) and Nanoplatforms for cancer theranostics (13 papers). The work is most often cited by research in Biological Psychiatry (657 citations), Cellular and Molecular Neuroscience (1.5k citations) and Pharmacology (828 citations). Anita Verma has collaborated with scholars based in India, United States and Taiwan. Frequent co-authors include Bita Moghaddam, Barbara W. Adams, H. B. Bohidar, Sachin Kulkarni, Ankita Leekha, Kumar Sachin, Drusilla Burns, Vijay Kumar, Anitá Saxena and Disha Mittal. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and SHILAP Revista de lepidopterología.

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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