Neha Neha

896 total citations
88 papers, 609 citations indexed

About

Neha Neha is a scholar working on Molecular Biology, Physiology and Materials Chemistry. According to data from OpenAlex, Neha Neha has authored 88 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 11 papers in Physiology and 9 papers in Materials Chemistry. Recurrent topics in Neha Neha's work include Alzheimer's disease research and treatments (7 papers), DNA and Nucleic Acid Chemistry (4 papers) and Advanced biosensing and bioanalysis techniques (4 papers). Neha Neha is often cited by papers focused on Alzheimer's disease research and treatments (7 papers), DNA and Nucleic Acid Chemistry (4 papers) and Advanced biosensing and bioanalysis techniques (4 papers). Neha Neha collaborates with scholars based in India, Saudi Arabia and United States. Neha Neha's co-authors include Amteshwar Singh Jaggi, Nirmal Singh, Rupinder Kaur Sodhi, Suhel Parvez, Parimal Das, Yad Ram Yadav, Haider Ali Khan, Md. Meraj Ansari, Amit Kumar Verma and Amit Kumar and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Physical Chemistry B and Analytical Biochemistry.

In The Last Decade

Neha Neha

66 papers receiving 596 citations

Peers

Neha Neha
Comparison fields: 5 of 117
  • Molecular Biology 165
  • Physiology 79
  • Pharmacology 75
  • Pulmonary and Respiratory Medicine 65
  • Epidemiology 62
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Citations per field, relative to Neha Neha
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Citations per year, relative to Neha Neha
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Countries citing papers authored by Neha Neha

Since Specialization
Citations

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

Fields of papers citing papers by Neha Neha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neha Neha

This figure shows the co-authorship network connecting the top 25 collaborators of Neha Neha. A scholar is included among the top collaborators of Neha 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 Neha Neha. Neha 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
# Work Indexed citations
1 4
2 1
3 0
4 1
5 0
6 6
7 1
8 1
9 6
10 10
11 0
12 26
13 1
14 7
15
A Study on Comparison of Menopause Rating Scale (MRS) in Middle Aged Women of Amritsar, Punjab, India
0
16
A Study on Handgrip Strength in Pre- and Post- Menopausal Women of Amritsar on the Basis of Their Rural and Urban Habitat
1
17
Prevalence of Haemoglobinopathies in Punjabi population
1
18
Resting state fMRI analysis using seed based and ICA methods
4
19
Quercetin alleviate oxidative stress and inflammation through upregulationof antioxidant machinery and down-regulation of COX2and NF-B expression in collagen induced rheumatoid arthritis
6
20
Knights in Action: Lectin Receptor-Like Kinases in Plant Development and Stress Responses
2

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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