Muhammad Munir

1.8k total citations
60 papers, 1.0k citations indexed

About

Muhammad Munir is a scholar working on Epidemiology, Infectious Diseases and Animal Science and Zoology. According to data from OpenAlex, Muhammad Munir has authored 60 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Epidemiology, 23 papers in Infectious Diseases and 17 papers in Animal Science and Zoology. Recurrent topics in Muhammad Munir's work include Virology and Viral Diseases (20 papers), Animal Virus Infections Studies (15 papers) and Viral Infections and Vectors (11 papers). Muhammad Munir is often cited by papers focused on Virology and Viral Diseases (20 papers), Animal Virus Infections Studies (15 papers) and Viral Infections and Vectors (11 papers). Muhammad Munir collaborates with scholars based in United Kingdom, Pakistan and Egypt. Muhammad Munir's co-authors include Muhammad Zubair Shabbir, Aziz Ul‐Rahman, Zaib Ur Rehman, Chan Ding, Chunchun Meng, Yingjie Sun, Muhammad Arif Nadeem Saqib, Ibrar Rafique, Paul McGonigle and Muhammad Asghar Khan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Journal of Virology.

In The Last Decade

Muhammad Munir

54 papers receiving 992 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Muhammad Munir United Kingdom 20 391 320 234 201 130 60 1.0k
Toni Whistler United States 21 387 1.0× 212 0.7× 46 0.2× 331 1.6× 103 0.8× 62 1.4k
Perumal Arumugam Desingu India 17 191 0.5× 305 1.0× 240 1.0× 266 1.3× 62 0.5× 45 1.1k
Steven Specter United States 21 376 1.0× 285 0.9× 92 0.4× 174 0.9× 70 0.5× 70 1.3k
Sandip Chakraborty India 18 242 0.6× 416 1.3× 137 0.6× 421 2.1× 138 1.1× 74 1.6k
A. Müller Portugal 16 176 0.5× 212 0.7× 195 0.8× 106 0.5× 77 0.6× 45 866
Setsuko Nakajima Japan 21 730 1.9× 528 1.6× 252 1.1× 358 1.8× 51 0.4× 82 1.4k
Martyn Regan United Kingdom 22 260 0.7× 350 1.1× 44 0.2× 239 1.2× 66 0.5× 74 1.3k
Heather Davies United Kingdom 20 271 0.7× 767 2.4× 225 1.0× 183 0.9× 39 0.3× 42 1.4k
Valentijn Vergote Belgium 17 152 0.4× 338 1.1× 49 0.2× 227 1.1× 112 0.9× 40 818
Sherry Cox United States 22 143 0.4× 86 0.3× 287 1.2× 94 0.5× 77 0.6× 163 1.7k

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-authorship network of co-authors of Muhammad Munir

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Munir. A scholar is included among the top collaborators of Muhammad Munir 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 Muhammad Munir. Muhammad Munir 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
2.
Naggar, Rania F. El, et al.. (2024). Unmasking the ongoing challenge of equid herpesvirus- 1 (EHV-1): A comprehensive review. Microbial Pathogenesis. 193. 106755–106755. 8 indexed citations
3.
Naggar, Rania F. El, et al.. (2023). Avian sarcoma/leukosis virus (RCAS)-mediated over-expression of IFITM3 protects chicks from highly pathogenic avian influenza virus subtype H5N1. Microbes and Infection. 26(1-2). 105231–105231. 4 indexed citations
4.
Ismail, Iqbal M.I., et al.. (2021). Temperature, humidity and outdoor air quality indicators influence COVID-19 spread rate and mortality in major cities of Saudi Arabia. Environmental Research. 204(Pt B). 112071–112071. 34 indexed citations
5.
Park, J., Fatai S. Oladunni, James Tollitt, et al.. (2021). Immunogenicity and protective efficacy of an intranasal live-attenuated vaccine against SARS-CoV-2. iScience. 24(9). 102941–102941. 36 indexed citations
6.
Shabbir, Muhammad Zubair, Aziz Ul‐Rahman, & Muhammad Munir. (2020). A comprehensive global perspective on phylogenomics and evolutionary dynamics of Small ruminant morbillivirus. Scientific Reports. 10(1). 17–17. 16 indexed citations
7.
Ul‐Rahman, Aziz, Muhammad Munir, & Muhammad Zubair Shabbir. (2019). A comparative genomic and evolutionary analysis of circulating strains of Avian avulavirus 1 in Pakistan. Molecular Genetics and Genomics. 294(5). 1289–1309. 8 indexed citations
8.
Rehman, Zaib Ur, et al.. (2018). Oxidative Stress in Poultry: Lessons from the Viral Infections. Oxidative Medicine and Cellular Longevity. 2018(1). 5123147–5123147. 54 indexed citations
9.
Cui, Meng, et al.. (2018). Interaction of infectious bursal disease virus with the immune system of poultry(vol 72, pg 805, 2016). World s Poultry Science Journal. 74(1). 153–153. 1 indexed citations
10.
Meng, Chunchun, Zaib Ur Rehman, Xusheng Qiu, et al.. (2018). Potential of genotype VII Newcastle disease viruses to cause differential infections in chickens and ducks. Transboundary and Emerging Diseases. 65(6). 1851–1862. 22 indexed citations
11.
Yaqub, Tahir, Jawad Nazir, Wasim Shehzad, et al.. (2018). Genomic and biological characterization of Newcastle disease viruses isolated from migratory mallards (Anas platyrhynchos). Archives of Virology. 163(8). 2179–2188. 15 indexed citations
12.
Ul‐Rahman, Aziz, Muhammad Munir, & Muhammad Zubair Shabbir. (2018). Comparative evolutionary and phylogenomic analysis of Avian avulaviruses 1–20. Molecular Phylogenetics and Evolution. 127. 931–951. 20 indexed citations
13.
Rohaim, Mohammed A., et al.. (2017). Reverse spillover of avian viral vaccine strains from domesticated poultry to wild birds. Vaccine. 35(28). 3523–3527. 24 indexed citations
14.
Munir, Muhammad, et al.. (2016). Structured performance monitoring of TB-care at facility, district and province levels - Pakistan experience.. PubMed. 66(4). 418–24. 4 indexed citations
16.
Munir, Muhammad, et al.. (2011). Sero-prevalence of brucellosis in goats from public and private livestock farms in Pakistan.. 15(3). 297–304. 7 indexed citations
17.
Munir, Muhammad. (2010). Outer Membrane Proteins of Brucella abortus Vaccinal and Field Strains and their Immune Response in Buffaloes. SHILAP Revista de lepidopterología. 3 indexed citations
18.
Butt, Waqas, et al.. (2007). Molecular Pathogenesis, Epidemiology, Risk Factors & Prognosis of Head and Neck Cancers in Relation to Human Papilloma Virus Infection. Annals of King Edward Medical University. 13(2). 1 indexed citations
19.
Chaudhry, Imran B., et al.. (2000). Etiological pattern of septicemia at three hospitals in Lahore.. 10(10). 375–379. 11 indexed citations
20.
Munir, Muhammad, Swaminathan Subramaniam, & Paul McGonigle. (1993). Polyamines modulate the neurotoxic effects of NMDA in vivo. Brain Research. 616(1-2). 163–170. 32 indexed citations

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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