Riya Saikia

539 total citations
35 papers, 323 citations indexed

About

Riya Saikia is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Plant Science. According to data from OpenAlex, Riya Saikia has authored 35 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Endocrinology, Diabetes and Metabolism, 7 papers in Molecular Biology and 7 papers in Plant Science. Recurrent topics in Riya Saikia's work include Natural Antidiabetic Agents Studies (8 papers), Natural Compound Pharmacology Studies (6 papers) and Phytochemicals and Antioxidant Activities (5 papers). Riya Saikia is often cited by papers focused on Natural Antidiabetic Agents Studies (8 papers), Natural Compound Pharmacology Studies (6 papers) and Phytochemicals and Antioxidant Activities (5 papers). Riya Saikia collaborates with scholars based in India, Saudi Arabia and Egypt. Riya Saikia's co-authors include Kalyani Pathak, Aparoop Das, Mohammad Zaki Ahmad, Manash Pratim Pathak, Basel A. Abdel‐Wahab, Ali Alasiri, Abdulsalam A. Alqahtani, Pranjal Sarmah, Javed Ahmad and James H. Zothantluanga and has published in prestigious journals such as SHILAP Revista de lepidopterología, Molecules and International Journal of Biological Macromolecules.

In The Last Decade

Riya Saikia

31 papers receiving 310 citations

Peers

Riya Saikia
Comparison fields: 5 of 84
  • Biomedical Engineering 72
  • Molecular Biology 58
  • Materials Chemistry 50
  • Pharmacology 48
  • Complementary and alternative medicine 43
Replace Kalyani Pathak with:
Kalyani Pathak India
Maria Khan India
Aparoop Das India
Jintao Xue China
Cătălina Bogdan Romania
Venkteshwar Yadav India
Ishan Pandey India
Rutusmita Mishra India
Vidya Devanathadesikan Seshadri Saudi Arabia
Hyun Kang South Korea
Kalyani Pathak India View profile →
Citations per field, relative to Riya Saikia
Riya Saikia · 1×
Citations per year, relative to Riya Saikia
Riya Saikia · 1×

Countries citing papers authored by Riya Saikia

Since Specialization
Citations

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

Fields of papers citing papers by Riya Saikia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Riya Saikia

This figure shows the co-authorship network connecting the top 25 collaborators of Riya Saikia. A scholar is included among the top collaborators of Riya Saikia 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 Riya Saikia. Riya Saikia 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 1
3 22
4 2
5 0
6 3
7 57
8 14
9 1
10 1
11 13
12 6
13 6
14 1
15 4
16 54
17 6
18 0
19 46
20 5

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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