Saniya Nissar
- Pathology and Forensic Medicine top 10%
- Genetic factors in colorectal cancer 6
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- Immune Response and Inflammation 3
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- Cancer-related Molecular Pathways 3
- Colorectal Cancer Treatments and Studies 3
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- DNA Repair Mechanisms 8
- Glutathione Transferases and Polymorphisms 4
- Genomics, phytochemicals, and oxidative stress 2
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- Diabetes and associated disorders 3
- Co-authors
- Syed Sameer AgaMujeeb Zafar BandayRoohi RasoolZafar A. ShahMuhammad Anwar KhanKaneez FatimaFouzia RashidMushtaq A. Siddiqi
- Journals
- SHILAP Revista de lepidopterología (2 papers)BioMed Research International (1 paper)Journal of Immunology Research (1 paper)
- Partner nations
- IndiaSaudi ArabiaFrance
In The Last Decade
Saniya Nissar
32 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Endocrinology, Diabetes and Metabolism 164
- Cancer Research 130
- Pathology and Forensic Medicine 145
- Immunology 157
- Oncology 172
Countries citing papers authored by Saniya Nissar
This map shows the geographic impact of Saniya Nissar'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 Saniya Nissar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saniya Nissar more than expected).
Fields of papers citing papers by Saniya Nissar
This network shows the impact of papers produced by Saniya Nissar. 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 Saniya Nissar. The network helps show where Saniya Nissar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Saniya Nissar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2022 | 75 | |
| 3 | Toll‐Like Receptors (TLRs): Structure, Functions, Signaling, and Role of Their Polymorphisms in Colorectal Cancer Susceptibilitybreakdown → | 2021 | 214 |
| 4 | 2020 | 72 | |
| 5 | Pathophysiology of diabetes: An overviewbreakdown → | 2020 | 368 |
| 6 | 2019 | 0 | |
| 7 | 2018 | 12 | |
| 8 | 2017 | 4 | |
| 9 | 2016 | 3 | |
| 10 | Epigenetics in diagnosis of colorectal cancer. | 2016 | 16 |
| 11 | 2015 | 13 | |
| 12 | 2015 | 27 | |
| 13 | 2014 | 7 | |
| 14 | 2014 | 14 | |
| 15 | 2014 | 13 | |
| 16 | 2014 | 55 | |
| 17 | 2013 | 29 | |
| 18 | 2012 | 1 | |
| 19 | 2011 | 24 | |
| 20 | 2011 | 19 |
About Saniya Nissar
Saniya Nissar is a scholar working on Pathology and Forensic Medicine, Oncology and Cancer Research, having authored 34 papers that have together received 1.1k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (8 papers), Genetic factors in colorectal cancer (6 papers), Glutathione Transferases and Polymorphisms (4 papers), Diabetes and associated disorders (3 papers), Cancer-related Molecular Pathways (3 papers), Colorectal Cancer Treatments and Studies (3 papers), Immune Response and Inflammation (3 papers) and Genomics, phytochemicals, and oxidative stress (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (164 citations), Cancer Research (130 citations) and Pathology and Forensic Medicine (145 citations). Saniya Nissar has collaborated with scholars based in India, Saudi Arabia and France. Frequent co-authors include Syed Sameer Aga, Mujeeb Zafar Banday, Roohi Rasool, Zafar A. Shah, Muhammad Anwar Khan, Kaneez Fatima, Fouzia Rashid, Mushtaq A. Siddiqi, Payam Behzadi and Márió Gajdács. Their work appears in journals such as SHILAP Revista de lepidopterología, BioMed Research International and Journal of Immunology Research.
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.