Muhammad Munir

3.6k citations
156 papers · 2.8k · h-index 29

Impact in

Papers in

Muhammad Munir

148 papers receiving 2.7k citations

Peers

Muhammad Munir
Comparison fields: 5 of 92
  • Animal Science and Zoology 531
  • Agronomy and Crop Science 436
  • Epidemiology 1.2k
  • Immunology 433
  • Virology 97
Replace William G. Dundon with:
William G. Dundon Austria
Hongjun Chen China
Jean‐Luc Guérin France
Nicolas Ruggli Switzerland
Geoffrey J. Letchworth United States
Günther M. Keil Germany
Diego G. Diel United States
Bryan Charleston United Kingdom
Nagendra R. Hegde India
Muhammad Munir relative to William G. Dundon Austria William G. Dundon's profile →
Citations per field
00.5×2×3×3.9×
William G. Dundon · 1×
Citations per year

Countries citing papers authored by Muhammad Munir

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Munir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 156 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017136
2 202090
3 201386
4 201382
5 201678
6 201271
7 201270
8 201062
9 202055
10 202355
11 201353
12 201252
13 201851
14 201346
15 201346
16 201846
17 201144
18 201638
19 201738
20 202038

About Muhammad Munir

Muhammad Munir is a scholar working on Epidemiology, Animal Science and Zoology, Agronomy and Crop Science, Immunology and Infectious Diseases, having authored 156 papers that have together received 2.8k indexed citations. Recurring topics across this work include Virology and Viral Diseases (56 papers), Animal Virus Infections Studies (30 papers), Animal Disease Management and Epidemiology (22 papers), interferon and immune responses (21 papers), Influenza Virus Research Studies (19 papers), SARS-CoV-2 and COVID-19 Research (10 papers), Poxvirus research and outbreaks (6 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Animal Science and Zoology (531 citations), Agronomy and Crop Science (436 citations), Epidemiology (1.2k citations), Immunology (433 citations) and Virology (97 citations). Muhammad Munir has collaborated with scholars based in United Kingdom, Sweden and Pakistan. Frequent co-authors include Mikael Berg, Siamak Zohari, Mohammed A. Rohaim, Rania F. El Naggar, Diwakar Santhakumar, Muhammad Abbas, Hua‐Ji Qiu, Luis Martínez‐Sobrido, Dennis Rubbenstroth and Muhammad Zubair Shabbir. Their work appears in journals such as Transboundary and Emerging Diseases, Vaccines, Viruses, Virus Genes and Journal of Virology.

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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