Niketa Sareen

799 total citations
24 papers, 618 citations indexed

About

Niketa Sareen is a scholar working on Surgery, Molecular Biology and Genetics. According to data from OpenAlex, Niketa Sareen has authored 24 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Surgery, 10 papers in Molecular Biology and 10 papers in Genetics. Recurrent topics in Niketa Sareen's work include Mesenchymal stem cell research (10 papers), Tissue Engineering and Regenerative Medicine (7 papers) and Graphene and Nanomaterials Applications (5 papers). Niketa Sareen is often cited by papers focused on Mesenchymal stem cell research (10 papers), Tissue Engineering and Regenerative Medicine (7 papers) and Graphene and Nanomaterials Applications (5 papers). Niketa Sareen collaborates with scholars based in Canada, Egypt and Italy. Niketa Sareen's co-authors include Sanjiv Dhingra, Glen Lester Sequiera, Weiang Yan, Ejlal Abu‐El‐Rub, Meenal Moudgil, Alireza Rafieerad, Abhay Srivastava, Keshav Narayan Alagarsamy, Hania Ibrahim Ammar and Rakesh C. Arora and has published in prestigious journals such as Advanced Functional Materials, Scientific Reports and The FASEB Journal.

In The Last Decade

Niketa Sareen

23 papers receiving 612 citations

Peers

Niketa Sareen
Comparison fields: 5 of 85
  • Materials Chemistry 252
  • Biomedical Engineering 225
  • Molecular Biology 180
  • Surgery 163
  • Genetics 119
Replace Glen Lester Sequiera with:
Glen Lester Sequiera Canada
Sachin J. Shenoy India
Annette Koch Germany
О. Г. Хазиахматова Russia
Jun-Hee Park South Korea
Sue Hyun Lee South Korea
Kenta Yamamoto Japan
Li‐Ying Chien Taiwan
Aixi Yu China
Glen Lester Sequiera Canada View profile →
Citations per field, relative to Niketa Sareen
Niketa Sareen · 1×
Citations per year, relative to Niketa Sareen
Niketa Sareen · 1×

Countries citing papers authored by Niketa Sareen

Since Specialization
Citations

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

Fields of papers citing papers by Niketa Sareen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Niketa Sareen

This figure shows the co-authorship network connecting the top 25 collaborators of Niketa Sareen. A scholar is included among the top collaborators of Niketa Sareen 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 Niketa Sareen. Niketa Sareen 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 5
2 1
3 0
4 13
5 11
6 17
7 15
8 2
9 1
10 12
11 14
12 29
13 161
14 43
15 89
16 5
17 1
18 57
19 10
20 20

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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