Nazish Badar

767 citations
35 papers · 354 · h-index 12

Impact in

Papers in

    • Influenza Virus Research Studies 9
    • Respiratory viral infections research 5
    • SARS-CoV-2 and COVID-19 Research 7
    • SARS-CoV-2 detection and testing 6
    • Viral Infections and Outbreaks Research 5
    • Viral Infections and Vectors 4

Nazish Badar

33 papers receiving 334 citations

Peers

Nazish Badar
Comparison fields: 5 of 58
  • Infectious Diseases 148
  • Animal Science and Zoology 59
  • Modeling and Simulation 23
  • Epidemiology 108
  • Small Animals 22
Replace Déborah Delaune with:
Déborah Delaune France
Emma C. Hobbs Australia
Sunil R. Vaidya India
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Sharon F. Setterquist United States
Ann Carpenter United States
Takako Utsumi Japan
Jeroen Cremer Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Nazish Badar

Since Specialization
Citations

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

Fields of papers citing papers by Nazish Badar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1
PREDOMINANCE AND DETECTION OF DIFFERENT EIMERIA SPECIES CAUSING COCCIDIOSIS IN LAYER CHICKENS
201237
2 202135
3 201131
4 201330
5 202119
6 201917
7 202117
8 202216
9 201914
10 201214
11 201913
12 201413
13 202011
14
Status of haemorrhagic septicaemia based on epidemiology in Pakistan.
20078
15 20238
16 20198
17 20218
18 20207
19 20126
20 20215

About Nazish Badar

Nazish Badar is a scholar working on Epidemiology, Infectious Diseases, Public Health, Environmental and Occupational Health, Animal Science and Zoology and Plant Science, having authored 35 papers that have together received 354 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (9 papers), SARS-CoV-2 and COVID-19 Research (7 papers), SARS-CoV-2 detection and testing (6 papers), Mosquito-borne diseases and control (5 papers), Viral Infections and Outbreaks Research (5 papers), Respiratory viral infections research (5 papers), Viral Infections and Vectors (4 papers) and Animal Virus Infections Studies (4 papers). The work is most often cited by research in Infectious Diseases (148 citations), Animal Science and Zoology (59 citations), Modeling and Simulation (23 citations), Epidemiology (108 citations) and Small Animals (22 citations). Nazish Badar has collaborated with scholars based in Pakistan, United States and South Korea. Frequent co-authors include Aamer Ikram, Uzma Bashir Aamir, Muhammad Masroor Alam, Nadia Nisar, Muhammad Salman, Massab Umair, Syed Sohail Zahoor Zaidi, Jamil A Ansari, Adnan Khurshid and Muhammad Suleman Rana. Their work appears in journals such as PLoS ONE, Journal of Medical Virology, Journal of Infection and Public Health, Scientific Reports and Influenza and Other Respiratory Viruses.

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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