Sheetal Silal

2.0k citations
45 papers · 746 · h-index 15

Impact in

Papers in

Sheetal Silal

41 papers receiving 730 citations

Peers

Sheetal Silal
Comparison fields: 5 of 91
  • Modeling and Simulation 70
  • Public Health, Environmental and Occupational Health 322
  • Pediatrics, Perinatology and Child Health 113
  • Infectious Diseases 89
  • Hepatology 35
Replace Momodou Jasseh with:
Momodou Jasseh Gambia
Mufaro Kanyangarara United States
Caroline A. Lynch United Kingdom
Martin O. C. Ota Belgium
Bénido Impouma Republic of the Congo
Abdou Salam Guèye Republic of the Congo
Elfatih M Malik Sudan
Najibullah Safi Afghanistan
Pascalina Chanda‐Kapata Zambia
Lindsey Wu United Kingdom
Sheetal Silal relative to Momodou Jasseh Gambia Momodou Jasseh's profile →
Citations per field
00.5×
Momodou Jasseh · 1×
Citations per year

Countries citing papers authored by Sheetal Silal

Since Specialization
Citations

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

Fields of papers citing papers by Sheetal Silal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012138
2 201598
3 201775
4 201243
5 202133
6 201530
7 201829
8 202029
9 202027
10 201427
11 202025
12 201219
13 201518
14 201518
15 201318
16 202114
17 202012
18 202211
19 201011
20 201910

About Sheetal Silal

Sheetal Silal is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation, Infectious Diseases, Health and Pediatrics, Perinatology and Child Health, having authored 45 papers that have together received 746 indexed citations. Recurring topics across this work include Malaria Research and Control (14 papers), COVID-19 epidemiological studies (12 papers), Mosquito-borne diseases and control (8 papers), Vaccine Coverage and Hesitancy (7 papers), Global Maternal and Child Health (5 papers), Hepatitis Viruses Studies and Epidemiology (5 papers), Viral Infections and Outbreaks Research (5 papers) and Vibrio bacteria research studies (3 papers). The work is most often cited by research in Modeling and Simulation (70 citations), Public Health, Environmental and Occupational Health (322 citations), Pediatrics, Perinatology and Child Health (113 citations), Infectious Diseases (89 citations) and Hepatology (35 citations). Sheetal Silal has collaborated with scholars based in South Africa, United Kingdom and United States. Frequent co-authors include Di McIntyre, Lisa J. White, Timothy Awine, Keziah Malm, Stephen Birch, Loveday Penn‐Kekana, Bronwyn Harris, Karen I. Barnes, Francesca Little and Constance Bart-Plange. Their work appears in journals such as Vaccine, Malaria Journal, PLoS ONE, BMJ Open and Vaccines.

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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