Subhashchandra Daga

494 citations
49 papers · 341 · h-index 12

Impact in

Papers in

Subhashchandra Daga

43 papers receiving 309 citations

Peers

Subhashchandra Daga
Comparison fields: 5 of 65
  • Pediatrics, Perinatology and Child Health 123
  • Anesthesiology and Pain Medicine 34
  • Endocrine and Autonomic Systems 26
  • Pulmonary and Respiratory Medicine 93
  • Emergency Medicine 24
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Citations per year

Countries citing papers authored by Subhashchandra Daga

Since Specialization
Citations

This map shows the geographic impact of Subhashchandra Daga'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 Subhashchandra Daga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subhashchandra Daga more than expected).

Fields of papers citing papers by Subhashchandra Daga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Subhashchandra Daga. 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 Subhashchandra Daga. The network helps show where Subhashchandra Daga may publish in the future.

Co-authors

The 20 scholars most cited alongside Subhashchandra Daga, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Subhashchandra Daga Line = papers co-authored together Subhashchandra Daga links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199128
2 201426
3 199420
4 198320
5
Antiretroviral therapy in children: Indian experience.
200718
6 199318
7 198318
8 199017
9 198315
10 200014
11 198912
12 199911
13 19988
14 19988
15 20088
16
Evaluation of training programme for traditional birth attendants in newborn care.
19978
17 19868
18 19857
19 19997
20 19876

About Subhashchandra Daga

Subhashchandra Daga is a scholar working on Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine, Nutrition and Dietetics, General Health Professions and Anesthesiology and Pain Medicine, having authored 49 papers that have together received 341 indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (14 papers), Infant Development and Preterm Care (10 papers), Child Nutrition and Water Access (8 papers), Global Maternal and Child Health (8 papers), Airway Management and Intubation Techniques (4 papers), Congenital Diaphragmatic Hernia Studies (4 papers), Child and Adolescent Health (3 papers) and Neuroscience of respiration and sleep (3 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (123 citations), Anesthesiology and Pain Medicine (34 citations), Endocrine and Autonomic Systems (26 citations), Pulmonary and Respiratory Medicine (93 citations) and Emergency Medicine (24 citations). Subhashchandra Daga has collaborated with scholars based in India, Romania and China. Frequent co-authors include Sanjay Patole, Sumit Chatterji, O. P. Shrivastava, Sharayu Mhatre, David A. Khan, Terry S. Vitez, Madhav Swaminathan, Anil Pareek, Madhuri Kulkarni and Anand Deshpande. Their work appears in journals such as Journal of Tropical Pediatrics, Journal of Biosocial Science, Journal of Perinatology, Anaesthesia and Pediatric Critical Care 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.

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