Jayani Pathirana

1.3k citations
17 papers · 580 · 1 hit paper · h-index 11

Impact in

Papers in

Jayani Pathirana

16 papers receiving 567 citations

Jayani Pathirana's Hit Papers

Low birth weight: Case definition & guidelines for data collection, analysis, and presentation of maternal immunization safety data 2017 · 283 citations
2830+3+6Years since publication50100150200250

Peers

Jayani Pathirana
Comparison fields: 5 of 74
  • Obstetrics and Gynecology 81
  • Pediatrics, Perinatology and Child Health 176
  • Health 62
  • Microbiology 33
  • Endocrinology 20
Replace Roy K. Philip with:
Roy K. Philip Ireland
S. C. LeClerq United States
Sonali Palkar India
Sompop Limpongsanurak Thailand
Anna Calvert United Kingdom
A. Dhanya Mackeen United States
Uilho Antônio Gomes Brazil
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Citations per field
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Citations per year

Countries citing papers authored by Jayani Pathirana

Since Specialization
Citations

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

Fields of papers citing papers by Jayani Pathirana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1
Low birth weight: Case definition & guidelines for data collection, analysis, and presentation of maternal immunization safety data
Hit paper breakdown →
2017283
2 201673
3 201535
4 201933
5 201627
6 201923
7 201923
8 201521
9 202019
10 202018
11 202111
12 20208
13 20222
14 20212
15
Neurological and growth outcomes in South African children with congenital cytomegalovirus: A cohort study
20201
16 20251
17 20250

About Jayani Pathirana

Jayani Pathirana is a scholar working on Epidemiology, Pediatrics, Perinatology and Child Health, Endocrinology, Health and Pulmonary and Respiratory Medicine, having authored 17 papers that have together received 580 indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (5 papers), Pneumonia and Respiratory Infections (3 papers), Diphtheria, Corynebacterium, and Tetanus (3 papers), Neonatal Health and Biochemistry (2 papers), Vaccine Coverage and Hesitancy (2 papers), COVID-19 Impact on Reproduction (1 paper), Autopsy Techniques and Outcomes (1 paper) and Global Maternal and Child Health (1 paper). The work is most often cited by research in Obstetrics and Gynecology (81 citations), Pediatrics, Perinatology and Child Health (176 citations), Health (62 citations), Microbiology (33 citations) and Endocrinology (20 citations). Jayani Pathirana has collaborated with scholars based in South Africa, United States and Australia. Frequent co-authors include Flor M. Muñoz, Clare Cutland, Sonali Kochhar, Tamala Mallett Moore, Azucena Bardají, Chandrakant Lahariya, Milagritos D. Tapia, Muhammad Imran Nisar, Eve Lackritz and Steven Black. Their work appears in journals such as Clinical Infectious Diseases, Vaccine, PLoS ONE, BMJ Open and The Lancet HIV.

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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