Arvind Saili

987 citations
50 papers · 635 · h-index 15

Impact in

Papers in

Arvind Saili

45 papers receiving 592 citations

Peers

Arvind Saili
Comparison fields: 5 of 81
  • Pediatrics, Perinatology and Child Health 259
  • Endocrine and Autonomic Systems 83
  • Obstetrics and Gynecology 75
  • Pulmonary and Respiratory Medicine 264
  • Microbiology 44
Replace Venkataseshan Sundaram with:
Venkataseshan Sundaram India
Ewa Gulczyńska Poland
Hung‐Yang Chang Taiwan
Sinan Uslu Türkiye
F. Gold France
Ana Martín‐Ancel Spain
Marguerite Herschel United States
Nora Hofer Austria
Gamze Demırel Türkiye
Francesco Maria Risso Italy
Arvind Saili relative to Venkataseshan Sundaram India Venkataseshan Sundaram's profile →
Citations per field
00.5×2.8×
Venkataseshan Sundaram · 1×
Citations per year

Countries citing papers authored by Arvind Saili

Since Specialization
Citations

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

Fields of papers citing papers by Arvind Saili

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Arvind Saili, 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 Arvind Saili Line = papers co-authored together Arvind Saili links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201656
2 201852
3 201149
4 201935
5 201429
6 199827
7
Phototherapy induced hypocalcemia.
199327
8 201627
9 201226
10 201725
11 200922
12 201721
13 201818
14 201717
15 199716
16 201414
17 201114
18 201114
19 201813
20 201313

About Arvind Saili

Arvind Saili is a scholar working on Pulmonary and Respiratory Medicine, Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health, Epidemiology and Surgery, having authored 50 papers that have together received 635 indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (18 papers), Neonatal and fetal brain pathology (9 papers), Neonatal and Maternal Infections (8 papers), Infant Development and Preterm Care (7 papers), Infant Nutrition and Health (4 papers), Respiratory Support and Mechanisms (4 papers), Breastfeeding Practices and Influences (3 papers) and Streptococcal Infections and Treatments (3 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (259 citations), Endocrine and Autonomic Systems (83 citations), Obstetrics and Gynecology (75 citations), Pulmonary and Respiratory Medicine (264 citations) and Microbiology (44 citations). Arvind Saili has collaborated with scholars based in India, United States and South Korea. Frequent co-authors include Sushma Nangia, Chitra Raghunandan, V. S. Randhawa, Shyam Sunder, Swati Agrawal, A. K. Dutta, Ajay Kumar, Pikee Saxena, Amit Kumar Dutta and Vikram Datta. Their work appears in journals such as The Journal of Maternal-Fetal & Neonatal Medicine, Resuscitation, The Indian Journal of Pediatrics, International Journal of STD & AIDS and PEDIATRICS.

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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