Hina Kausar

1.5k total citations
46 papers, 1.2k citations indexed

About

Hina Kausar is a scholar working on Molecular Biology, Pharmacology and Molecular Medicine. According to data from OpenAlex, Hina Kausar has authored 46 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Pharmacology and 6 papers in Molecular Medicine. Recurrent topics in Hina Kausar's work include Curcumin's Biomedical Applications (6 papers), Pharmacological Effects of Medicinal Plants (5 papers) and Phytochemicals and Antioxidant Activities (5 papers). Hina Kausar is often cited by papers focused on Curcumin's Biomedical Applications (6 papers), Pharmacological Effects of Medicinal Plants (5 papers) and Phytochemicals and Antioxidant Activities (5 papers). Hina Kausar collaborates with scholars based in India, United States and Pakistan. Hina Kausar's co-authors include Ramesh C. Gupta, Farrukh Aqil, Jeyaprakash Jeyabalan, Radha Munagala, Manicka V. Vadhanam, Inder Pal Singh, Ashish Kumar Agrawal, Rui Wu, Shyam S. Bansal and Madhavi J. Rane and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Cancer Research.

In The Last Decade

Hina Kausar

41 papers receiving 1.2k citations

Peers

Hina Kausar
Comparison fields: 5 of 104
  • Molecular Biology 618
  • Biochemistry 230
  • Cancer Research 177
  • Nutrition and Dietetics 163
  • Plant Science 135
Replace Youngjoo Kwon with:
Youngjoo Kwon South Korea
Xinmei Kang China
Stefania Bilotto Italy
Piwen Wang United States
Amjid Ahad India
Tatiana Kalinovsky
Elumalai Perumal India
Husain Yar Khan United States
Sivanandhan Dhanalakshmi United States
Manicka V. Vadhanam United States
Youngjoo Kwon South Korea View profile →
Citations per field, relative to Hina Kausar
Hina Kausar · 1×
Citations per year, relative to Hina Kausar
Hina Kausar · 1×

Countries citing papers authored by Hina Kausar

Since Specialization
Citations

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

Fields of papers citing papers by Hina Kausar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hina Kausar

This figure shows the co-authorship network connecting the top 25 collaborators of Hina Kausar. A scholar is included among the top collaborators of Hina Kausar 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 Hina Kausar. Hina Kausar 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 0
2 2
3 0
4 1
5 3
6 7
7 1
8
Tricuspid valve complex- a study on its variations in North Indian population and clinical implications
1
9 4
10 10
11
An Assessment of Obesity amongst Working Women
2
12
Gender Discrimination and Working Women: Retrospective Study
1
13
An Analytical Study of Social Problems as Perceived by Working Women
1
14 64
15 101
16 15
17 117
18 58
19 26
20 7

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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