Sushil John

32 papers receiving 674 citations

Peers

Sushil John
Comparison fields: 5 of 118
  • Nutrition and Dietetics 299
  • Endocrinology 69
  • Safety Research 79
  • Infectious Diseases 165
  • Pediatrics, Perinatology and Child Health 146
Replace Md. Ahshanul Haque with:
Md. Ahshanul Haque Bangladesh
Fahmida Dil Farzana Bangladesh
Mohamed Karama Kenya
Luciano Lima Correia Brazil
Subhasish Das Bangladesh
Shwapon Biswas Bangladesh
Breyette Lorntz United States
Philippe Hennart Belgium
Helen Nabwera United Kingdom
Geir Gunnlaugsson Iceland
Sushil John relative to Md. Ahshanul Haque Bangladesh Md. Ahshanul Haque's profile →
Citations per field
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Md. Ahshanul Haque · 1×
Citations per year

Countries citing papers authored by Sushil John

Since Specialization
Citations

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

Fields of papers citing papers by Sushil John

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014176
2 2012107
3 201087
4 201547
5 201431
6 202226
7 201822
8 201921
9 199820
10 201319
11
Nature, prevalence and risk factors of alcohol use in an urban slum of Southern India.
201318
12 200914
13 201414
14 202013
15 202112
16 202012
17 202311
18 202110
19 20216
20 20216

About Sushil John

Sushil John is a scholar working on Nutrition and Dietetics, Pediatrics, Perinatology and Child Health, Infectious Diseases, Public Health, Environmental and Occupational Health and Epidemiology, having authored 38 papers that have together received 703 indexed citations. Recurring topics across this work include Child Nutrition and Water Access (14 papers), Infant Development and Preterm Care (6 papers), Viral gastroenteritis research and epidemiology (5 papers), Poverty, Education, and Child Welfare (4 papers), Early Childhood Education and Development (3 papers), Heavy Metal Exposure and Toxicity (3 papers), Clostridium difficile and Clostridium perfringens research (3 papers) and Child Nutrition and Feeding Issues (2 papers). The work is most often cited by research in Nutrition and Dietetics (299 citations), Endocrinology (69 citations), Safety Research (79 citations), Infectious Diseases (165 citations) and Pediatrics, Perinatology and Child Health (146 citations). Sushil John has collaborated with scholars based in India, United States and Bangladesh. Frequent co-authors include Gagandeep Kang, Prakash Shrestha, Jessica C. Seidman, Pascal Bessong, Venkata Raghava Mohan, Erling Svensen, Margaret Kosek, Tahmeed Ahmed, William Checkley and Zulfiqar A Bhutta. Their work appears in journals such as Cochrane Database of Systematic Reviews, American Journal of Tropical Medicine and Hygiene, Population Health Metrics, BMC Pediatrics and Clinical Infectious Diseases.

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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