S. K. Agarwal
- Endocrine and Autonomic Systems top 2%
- Infectious Diseases top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Cellular and Molecular Neuroscience top 10%
- Parasitology top 5%
- Co-authors
- F. R. CalaresuA. J. GelsemaSwati MittalS. L. KallaU. SharmaL.P. SinghS. K. BhattacharyyaSaurabh Ahalawat
- Topics
- Survey Sampling and Estimation Techniques (8 papers)Neuroscience of respiration and sleep (8 papers)Advanced Statistical Methods and Models (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaClinical Infectious DiseasesBrain Research
In The Last Decade
S. K. Agarwal
59 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 156
- Endocrine and Autonomic Systems 297
- Infectious Diseases 189
- Cardiology and Cardiovascular Medicine 184
- Cellular and Molecular Neuroscience 168
- Parasitology 125
Countries citing papers authored by S. K. Agarwal
This map shows the geographic impact of S. K. Agarwal'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 S. K. Agarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. K. Agarwal more than expected).
Fields of papers citing papers by S. K. Agarwal
This network shows the impact of papers produced by S. K. Agarwal. 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 S. K. Agarwal. The network helps show where S. K. Agarwal may publish in the future.
Co-authorship network of co-authors of S. K. Agarwal
This figure shows the co-authorship network connecting the top 25 collaborators of S. K. Agarwal. A scholar is included among the top collaborators of S. K. Agarwal 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 S. K. Agarwal. S. K. Agarwal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 8 | |
| 5 | 0 | |
| 6 | 49 | |
| 7 | An Overview of Family Hernandiaceae | 6 |
| 8 | Effect of Aegle marmelos and Ficus religiosa leaves extracts on the ovarian function in rats. | 3 |
| 9 | 19 | |
| 10 | 16 | |
| 11 | 93 | |
| 12 | 29 | |
| 13 | 17 | |
| 14 | 50 | |
| 15 | 4 | |
| 16 | 28 | |
| 17 | 80 | |
| 18 | 40 | |
| 19 | 40 | |
| 20 | Influence of mating ratio on fertility and hatchability in quails. | 1 |
About S. K. Agarwal
S. K. Agarwal is a scholar working on Statistics and Probability, Endocrine and Autonomic Systems and Statistics, Probability and Uncertainty, having authored 67 papers that have together received 1.2k indexed citations. Recurring topics across this work include Survey Sampling and Estimation Techniques (8 papers), Neuroscience of respiration and sleep (8 papers) and Advanced Statistical Methods and Models (7 papers). The work is most often cited by research in Endocrine and Autonomic Systems (297 citations), Parasitology (125 citations) and Infectious Diseases (189 citations). S. K. Agarwal has collaborated with scholars based in India, Canada and Kuwait. Frequent co-authors include F. R. Calaresu, A. J. Gelsema, Swati Mittal, S. L. Kalla, U. Sharma, L.P. Singh, S. K. Bhattacharyya, Saurabh Ahalawat, Naveen Gupta and R. Sambasiva Rao. Their work appears in journals such as SHILAP Revista de lepidopterología, Clinical Infectious Diseases and Brain 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.