Neisha Sundaram

915 citations
35 papers · 585 indexed · h-index 14
Topics
Vaccine Coverage and Hesitancy (11 papers)Influenza Virus Research Studies (8 papers)COVID-19 epidemiological studies (6 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEBMC Public Health

In The Last Decade

Neisha Sundaram

30 papers receiving 565 citations

Peers

Neisha Sundaram
Comparison fields: 5 of 104
  • Health 208
  • Epidemiology 207
  • Infectious Diseases 112
  • General Health Professions 94
  • Nutrition and Dietetics 81
Replace Mohammed Abdulaziz with:
Mohammed Abdulaziz Nigeria
Maysoon Dahab United Kingdom
Abdou Salam Guèye Republic of the Congo
Chioma Oringanje Nigeria
Inayat Ali Austria
Geir Gunnlaugsson Iceland
Alison B. Wiyeh South Africa
Matthew Zahn United States
Anna Deal United Kingdom
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Neisha Sundaram relative to Mohammed Abdulaziz Nigeria Mohammed Abdulaziz's profile →
Citations per field
00.5×4.0×
Mohammed Abdulaziz · 1×
Citations per year

Countries citing papers authored by Neisha Sundaram

Since Specialization
Citations

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

Fields of papers citing papers by Neisha Sundaram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neisha Sundaram

This figure shows the co-authorship network connecting the top 25 collaborators of Neisha Sundaram. A scholar is included among the top collaborators of Neisha Sundaram based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Neisha Sundaram. Neisha Sundaram is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 1
5 0
6 2
7 3
8 1
9 7
10 5
11 21
12 35
13 3
14 93
15 22
16 16
17 6
18 5
19 22
20 13

About Neisha Sundaram

Neisha Sundaram is a scholar working on Health, Modeling and Simulation and Endocrinology, having authored 35 papers that have together received 585 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (11 papers), Influenza Virus Research Studies (8 papers) and COVID-19 epidemiological studies (6 papers). The work is most often cited by research in Health (208 citations), Modeling and Simulation (66 citations) and Endocrinology (46 citations). Neisha Sundaram has collaborated with scholars based in United Kingdom, Switzerland and Singapore. Frequent co-authors include Joanne Yoong, Mitchell G. Weiss, Christian Schaetti, Mark Jit, Raymond Hutubessy, Abhay Kudale, Saju Joseph, Cynthia Chen, May Ee Png and Stefan Flasche. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and BMC Public Health.

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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