Nishi Prabdial‐Sing

3.3k total citations
17 papers, 227 citations indexed

About

Nishi Prabdial‐Sing is a scholar working on Hepatology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Nishi Prabdial‐Sing has authored 17 papers receiving a total of 227 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Hepatology, 12 papers in Epidemiology and 6 papers in Infectious Diseases. Recurrent topics in Nishi Prabdial‐Sing's work include Hepatitis C virus research (12 papers), Hepatitis B Virus Studies (10 papers) and Hepatitis Viruses Studies and Epidemiology (4 papers). Nishi Prabdial‐Sing is often cited by papers focused on Hepatitis C virus research (12 papers), Hepatitis B Virus Studies (10 papers) and Hepatitis Viruses Studies and Epidemiology (4 papers). Nishi Prabdial‐Sing collaborates with scholars based in South Africa, United States and Uganda. Nishi Prabdial‐Sing's co-authors include Adrian Puren, C Wendy Spearman, Mark Sonderup, Melinda Suchard, Andrew Scheibe, Harry Hausler, Katherine Young, S. M. Bowyer, Pavitra Pillay and Charles M. Rice and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Nishi Prabdial‐Sing

16 papers receiving 223 citations

Peers

Nishi Prabdial‐Sing
Comparison fields: 5 of 46
  • Epidemiology 176
  • Hepatology 140
  • Infectious Diseases 70
  • General Health Professions 16
  • Public Health, Environmental and Occupational Health 16
Replace Maria A. Corcorran with:
Maria A. Corcorran United States
Rob Bielen Belgium
Linh‐Vi Le Philippines
John Rwegasha Tanzania
Nicolas Rouveau France
Meredith Reilly United States
Özgür M. Koc Netherlands
Hayette Rougier France
Gary Brook United Kingdom
Christinah Mukandavire United Kingdom
Maria A. Corcorran United States View profile →
Citations per field, relative to Nishi Prabdial‐Sing
Nishi Prabdial‐Sing · 1×
Citations per year, relative to Nishi Prabdial‐Sing
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Countries citing papers authored by Nishi Prabdial‐Sing

Since Specialization
Citations

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

Fields of papers citing papers by Nishi Prabdial‐Sing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nishi Prabdial‐Sing. 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 Nishi Prabdial‐Sing. The network helps show where Nishi Prabdial‐Sing may publish in the future.

Co-authorship network of co-authors of Nishi Prabdial‐Sing

This figure shows the co-authorship network connecting the top 25 collaborators of Nishi Prabdial‐Sing. A scholar is included among the top collaborators of Nishi Prabdial‐Sing 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 Nishi Prabdial‐Sing. Nishi Prabdial‐Sing is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
# Work Indexed citations
1 0
2 1
3 1
4 5
5 17
6 4
7 11
8 36
9 15
10 47
11 12
12 10
13 7
14 27
15 13
16 4
17 17

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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2026