P. V. Sundaram
- Molecular Biology
- Biomedical Engineering
- Electrical and Electronic Engineering
- Biotechnology top 5%
- Epidemiology
- Co-authors
- W.E. HornbyKeith J. LaidlerJanet L. BrandsmaRobert E. TigelaarFritz EcksteinN. RajalakshmiE. M. CrookWei Xiao
- Topics
- Enzyme Catalysis and Immobilization (8 papers)Glycosylation and Glycoproteins Research (8 papers)Metabolism and Genetic Disorders (7 papers)
- Partner nations
- IndiaUnited StatesGermany
In The Last Decade
P. V. Sundaram
73 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 111
- Molecular Biology 594
- Biomedical Engineering 172
- Electrical and Electronic Engineering 166
- Biotechnology 106
- Epidemiology 94
Countries citing papers authored by P. V. Sundaram
This map shows the geographic impact of P. V. Sundaram'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 P. V. Sundaram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. V. Sundaram more than expected).
Fields of papers citing papers by P. V. Sundaram
This network shows the impact of papers produced by P. V. Sundaram. 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 P. V. Sundaram. The network helps show where P. V. Sundaram may publish in the future.
Co-authorship network of co-authors of P. V. Sundaram
This figure shows the co-authorship network connecting the top 25 collaborators of P. V. Sundaram. A scholar is included among the top collaborators of P. V. Sundaram 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 P. V. Sundaram. P. V. Sundaram is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 13 | |
| 5 | 6 | |
| 6 | 18 | |
| 7 | 42 | |
| 8 | 4 | |
| 9 | Asymptotic behaviour and oscillation of solutions of neutral delay difference equations of arbitrary order | 11 |
| 10 | 56 | |
| 11 | 5 | |
| 12 | 15 | |
| 13 | 7 | |
| 14 | Classification of nonoscillatory solutions of higher order neutral type difference equations | 6 |
| 15 | 12 | |
| 16 | 2 | |
| 17 | 11 | |
| 18 | 11 | |
| 19 | 1 | |
| 20 | Theory and practice in affinity techniques | 52 |
About P. V. Sundaram
P. V. Sundaram is a scholar working on Clinical Biochemistry, Numerical Analysis and Biotechnology, having authored 78 papers that have together received 1.1k indexed citations. Recurring topics across this work include Enzyme Catalysis and Immobilization (8 papers), Glycosylation and Glycoproteins Research (8 papers) and Metabolism and Genetic Disorders (7 papers). The work is most often cited by research in Biotechnology (106 citations), Bioengineering (60 citations) and Biochemistry (67 citations). P. V. Sundaram has collaborated with scholars based in India, United States and Germany. Frequent co-authors include W.E. Hornby, Keith J. Laidler, Janet L. Brandsma, Robert E. Tigelaar, Fritz Eckstein, N. Rajalakshmi, E. M. Crook, Wei Xiao, Chinnaswamy Kasinathan and Ranjini K. Sundaram. Their work appears in journals such as Nucleic Acids Research, Gastroenterology and Hepatology.
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.