Kumari Neha

1.3k citations
38 papers · 898 indexed · 1 hit paper · h-index 11
Topics
Synthesis and biological activity (5 papers)Computational Drug Discovery Methods (4 papers)Innovations in Medical Education (3 papers)
Journals
SHILAP Revista de lepidopterologíaThe Journal of PediatricsEuropean Journal of Medicinal Chemistry

In The Last Decade

Kumari Neha

28 papers receiving 871 citations

Hit Papers

Medicinal prospects of antioxidants: A review20192026202120232019100200300400500

Peers

Kumari Neha
Comparison fields: 5 of 121
  • Molecular Biology 240
  • Organic Chemistry 208
  • Biochemistry 132
  • Plant Science 106
  • Pharmacology 81
Replace Dhanalekshmi Unnikrishnan Meenakshi with:
Dhanalekshmi Unnikrishnan Meenakshi India
Francine Carla Cadoná Brazil
Małgorzata Tyszka‐Czochara Poland
Ying Wei China
Eswar Kandaswamy United States
Manju Vaiyapuri India
Mario Pulido‐Moran Spain
Anoop K. Singh United States
Narcyz Knap Poland
Najihah Mohd Hashim Malaysia
Kumari Neha relative to Dhanalekshmi Unnikrishnan Meenakshi India Dhanalekshmi Unnikrishnan Meenakshi's profile →
Citations per field
00.5×5.7×
Dhanalekshmi Unnikrishnan Meenakshi · 1×
Citations per year

Countries citing papers authored by Kumari Neha

Since Specialization
Citations

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

Fields of papers citing papers by Kumari Neha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kumari Neha

This figure shows the co-authorship network connecting the top 25 collaborators of Kumari Neha. A scholar is included among the top collaborators of Kumari Neha 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 Kumari Neha. Kumari Neha 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 0
3 3
4 2
5 3
6 1
7 0
8 4
9 12
10 15
11 1
12 24
13 3
14 2
15 71
16
Medicinal prospects of antioxidants: A reviewbreakdown →
508
17 2
18 1
19 8
20 30

About Kumari Neha

Kumari Neha is a scholar working on Toxicology, Otorhinolaryngology and Molecular Medicine, having authored 38 papers that have together received 898 indexed citations. Recurring topics across this work include Synthesis and biological activity (5 papers), Computational Drug Discovery Methods (4 papers) and Innovations in Medical Education (3 papers). The work is most often cited by research in Biochemistry (132 citations), Organic Chemistry (208 citations) and Complementary and alternative medicine (53 citations). Kumari Neha has collaborated with scholars based in India, Botswana and United States. Frequent co-authors include Mohammad Shahar Yar, Md Rafi Haider, Ankita Pathak, Kashif Haider, Faraat Ali, Rajeev Kharb, Sharad Wakode, Fatima Naaz, Syed Shafi and Garima Chauhan. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Pediatrics and European Journal of Medicinal Chemistry.

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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