Surinder Pada

3.2k citations
16 papers · 281 · h-index 9

Impact in

Papers in

    • Antimicrobial Resistance in Staphylococcus 5
    • Infection Control in Healthcare 3
    • Infective Endocarditis Diagnosis and Management 2
    • Influenza Virus Research Studies 2

Surinder Pada

16 papers receiving 274 citations

Peers

Surinder Pada
Comparison fields: 5 of 71
  • Applied Microbiology and Biotechnology 13
  • Infectious Diseases 98
  • Health 37
  • Modeling and Simulation 20
  • Neurology 60
Replace Shinya Hasegawa with:
Shinya Hasegawa United States
Elías Eyþórsson Iceland
Hideo Okuno Japan
Arifa Parker South Africa
Seow Yen Tan Singapore
Salma AlBahrani Saudi Arabia
Ketaki Sharma Australia
Anne Marie O’Connell United Kingdom
Paola Costenaro Italy
Ariany Marques Vieira Canada
Surinder Pada relative to Shinya Hasegawa United States Shinya Hasegawa's profile →
Citations per field
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Shinya Hasegawa · 1×
Citations per year

Countries citing papers authored by Surinder Pada

Since Specialization
Citations

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

Fields of papers citing papers by Surinder Pada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 202182
2 201168
3 201136
4 201517
5 201215
6 201114
7 202013
8 201512
9 20098
10 20194
11 20214
12 20083
13 20182
14 20231
15 20211
16 20221

About Surinder Pada

Surinder Pada is a scholar working on Infectious Diseases, Epidemiology, Public Health, Environmental and Occupational Health, Pulmonary and Respiratory Medicine and Applied Microbiology and Biotechnology, having authored 16 papers that have together received 281 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (5 papers), Infection Control in Healthcare (3 papers), Infection Control and Ventilation (2 papers), Antibiotic Use and Resistance (2 papers), Mosquito-borne diseases and control (2 papers), COVID-19 epidemiological studies (2 papers), Infective Endocarditis Diagnosis and Management (2 papers) and Influenza Virus Research Studies (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (13 citations), Infectious Diseases (98 citations), Health (37 citations), Modeling and Simulation (20 citations) and Neurology (60 citations). Surinder Pada has collaborated with scholars based in Singapore, United Kingdom and Hong Kong. Frequent co-authors include Paul Anantharajah Tambyah, Ying Ding, David Chien Lye, Yee‐Sin Leo, Dale Fisher, Nelson Lee, Li Yang Hsu, Timothy H. Rainer, Trish M. Perl and Siân Griffiths. Their work appears in journals such as International Journal of Infectious Diseases, Open Forum Infectious Diseases, Journal of Hospital Infection, Antimicrobial Resistance and Infection Control and Frontiers in Microbiology.

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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