Sanni Kumar
Impact in
- Epidemiology top 10%
- Sepsis Diagnosis and Treatment
-
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
Papers in
-
- Sepsis Diagnosis and Treatment 6
-
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 4
- Co-authors
- Anupam Jyoti (12 shared papers)Sanket Kaushik (11 shared papers)Shiv Govind Singh (7 shared papers)Suryasnata Tripathy (3 shared papers)Vijay Kumar Srivastava (9 shared papers)Juhi Saxena (7 shared papers)Sudhir Ken Mehta (5 shared papers)K.V. Ragavan (1 shared paper)
- Journals
- Clinica Chimica Acta (4 papers)Biosensors and Bioelectronics (3 papers)Vaccines (2 papers)Scandinavian Journal of Immunology (1 paper)Bioelectrochemistry (1 paper)
- Partner nations
- IndiaUnited StatesEgypt
In The Last Decade
Sanni Kumar
18 papers receiving 806 citations
Peers
Comparison fields: 5 of 87
- Epidemiology 222
- Immunology 99
- Biomedical Engineering 147
- Clinical Biochemistry 15
- Electrical and Electronic Engineering 151
Countries citing papers authored by Sanni Kumar
This map shows the geographic impact of Sanni Kumar'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 Sanni Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanni Kumar more than expected).
Fields of papers citing papers by Sanni Kumar
This network shows the impact of papers produced by Sanni Kumar. 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 Sanni Kumar. The network helps show where Sanni Kumar may publish in the future.
Co-authors
The 18 scholars most cited alongside Sanni Kumar, 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 | 2018 | 149 | |
| 2 | 2018 | 102 | |
| 3 | 2018 | 94 | |
| 4 | 2022 | 88 | |
| 5 | 2016 | 79 | |
| 6 | 2021 | 55 | |
| 7 | 2019 | 49 | |
| 8 | Neutrophil Extracellular Traps: Formation and Involvement in Disease Progression. | 2018 | 32 |
| 9 | 2020 | 29 | |
| 10 | 2023 | 28 | |
| 11 | 2024 | 27 | |
| 12 | 2018 | 23 | |
| 13 | 2020 | 18 | |
| 14 | 2020 | 17 | |
| 15 | 2021 | 17 | |
| 16 | 2022 | 9 | |
| 17 | 2021 | 3 | |
| 18 | 2017 | 2 |
About Sanni Kumar
Sanni Kumar is a scholar working on Epidemiology, Immunology, Electrical and Electronic Engineering, Clinical Biochemistry and Biochemistry, having authored 18 papers that have together received 821 indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (6 papers), Electrochemical sensors and biosensors (5 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers), Redox biology and oxidative stress (2 papers), Biosensors and Analytical Detection (2 papers), Mitochondrial Function and Pathology (1 paper), Antioxidant Activity and Oxidative Stress (1 paper) and Bacterial Identification and Susceptibility Testing (1 paper). The work is most often cited by research in Epidemiology (222 citations), Immunology (99 citations), Biomedical Engineering (147 citations), Clinical Biochemistry (15 citations) and Electrical and Electronic Engineering (151 citations). Sanni Kumar has collaborated with scholars based in India, United States and Egypt. Frequent co-authors include Anupam Jyoti, Sanket Kaushik, Shiv Govind Singh, Suryasnata Tripathy, Vijay Kumar Srivastava, Juhi Saxena, Sudhir Ken Mehta, K.V. Ragavan, Suresh Raja Neethirajan and Vikrant Singh. Their work appears in journals such as Clinica Chimica Acta, Biosensors and Bioelectronics, Vaccines, Scandinavian Journal of Immunology and Bioelectrochemistry.
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.