S K Garg
- Hematology top 5%
- Pulmonary and Respiratory Medicine
- Oncology
- Genetics
- Pharmacology top 10%
- Co-authors
- Simon KarpatkinGregory W. SiskindMichael L. FreedmanV.K. BhargavaSadhna SharmaG. K. KhullerAmitava ChakrabartiNitin Kumar
- Topics
- Pharmacological Effects and Toxicity Studies (8 papers)Epilepsy research and treatment (7 papers)Antibiotics Pharmacokinetics and Efficacy (7 papers)
- Cited by
- HematologyGeneticsInternal Medicine
- Journals
- New England Journal of MedicineSHILAP Revista de lepidopterologíaAnnals of Internal Medicine
- Partner nations
- IndiaUnited StatesIran
In The Last Decade
S K Garg
29 papers receiving 431 citations
Peers
Comparison fields: 5 of 89
- Hematology 182
- Pulmonary and Respiratory Medicine 93
- Oncology 72
- Genetics 69
- Pharmacology 50
Countries citing papers authored by S K Garg
This map shows the geographic impact of S K Garg'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 Garg 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 Garg more than expected).
Fields of papers citing papers by S K Garg
This network shows the impact of papers produced by S K Garg. 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 Garg. The network helps show where S K Garg may publish in the future.
Co-authorship network of co-authors of S K Garg
This figure shows the co-authorship network connecting the top 25 collaborators of S K Garg. A scholar is included among the top collaborators of S K Garg 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 Garg. S K Garg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 11 | |
| 4 | 13 | |
| 5 | Multiple dose pharmacokinetics of ciprofloxacin in preterm babies. | 9 |
| 6 | 5 | |
| 7 | 3 | |
| 8 | 33 | |
| 9 | 12 | |
| 10 | 13 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 18 | |
| 14 | 10 | |
| 15 | Effect of 'Mentat' on the pharmacokinetics of single and multiple doses o phenytoin in rabbits. | 6 |
| 16 | 23 | |
| 17 | Comparative bioavailability of two enteric-coated capsules of omeprazole in healthy volunteers. | 6 |
| 18 | 5 | |
| 19 | Plasma dapsone and its metabolite monoacetyldapsone levels in leprotic patients. | 4 |
| 20 | Comparative bioequivalence study of furosemide in human volunteers. | 3 |
About S K Garg
S K Garg is a scholar working on Pediatrics, Perinatology and Child Health, Hematology and Pharmacology, having authored 30 papers that have together received 485 indexed citations. Recurring topics across this work include Pharmacological Effects and Toxicity Studies (8 papers), Epilepsy research and treatment (7 papers) and Antibiotics Pharmacokinetics and Efficacy (7 papers). The work is most often cited by research in Hematology (182 citations), Genetics (69 citations) and Internal Medicine (22 citations). S K Garg has collaborated with scholars based in India, United States and Iran. Frequent co-authors include Simon Karpatkin, Gregory W. Siskind, Michael L. Freedman, V.K. Bhargava, Sadhna Sharma, G. K. Khuller, Amitava Chakrabarti, Nitin Kumar, Samir Malhotra and Ruhi Dixit. Their work appears in journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and Annals of Internal Medicine.
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.