Muhammad Munir

4.2k total citations
153 papers, 2.7k 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 153 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Epidemiology, 58 papers in Infectious Diseases and 41 papers in Animal Science and Zoology. Recurrent topics in Muhammad Munir's work include Animal Virus Infections Studies (40 papers), Virology and Viral Diseases (38 papers) and Animal Disease Management and Epidemiology (34 papers). Muhammad Munir is often cited by papers focused on Animal Virus Infections Studies (40 papers), Virology and Viral Diseases (38 papers) and Animal Disease Management and Epidemiology (34 papers). Muhammad Munir collaborates with scholars based in United Kingdom, Pakistan and Sweden. Muhammad Munir's co-authors include Mikael Berg, Mohammed A. Rohaim, Siamak Zohari, Michael B. Robinson, Rania F. El Naggar, Diwakar Santhakumar, Avtandil Kalandadze, Jeffrey D. Rothstein, Olga Zelenaia and Emily Clayton and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Muhammad Munir

143 papers receiving 2.6k 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 28 1.1k 965 708 667 530 153 2.7k
Javier Ortego Spain 33 308 0.3× 1.6k 1.6× 529 0.7× 818 1.2× 698 1.3× 106 3.6k
Yuko Sakai Japan 30 1.3k 1.2× 662 0.7× 253 0.4× 1.0k 1.5× 200 0.4× 68 3.1k
Tetsuya Furuya Japan 31 843 0.8× 576 0.6× 376 0.5× 783 1.2× 141 0.3× 102 3.1k
Li Gao China 29 1.3k 1.2× 799 0.8× 892 1.3× 660 1.0× 183 0.3× 169 2.9k
Shengbo Cao China 32 451 0.4× 1.2k 1.2× 315 0.4× 794 1.2× 118 0.2× 125 3.0k
Ping Jiang China 32 682 0.6× 1.5k 1.5× 1.3k 1.8× 810 1.2× 278 0.5× 135 3.4k
Alessandra Scagliarini Italy 25 700 0.6× 416 0.4× 385 0.5× 543 0.8× 210 0.4× 110 2.1k
W.M.M. Schaaper Netherlands 26 271 0.3× 607 0.6× 640 0.9× 660 1.0× 393 0.7× 54 2.1k
Earl G. Brown Canada 34 2.2k 2.0× 961 1.0× 456 0.6× 1.1k 1.7× 462 0.9× 70 3.9k
Giuseppe Bertoni Switzerland 25 903 0.8× 263 0.3× 179 0.3× 367 0.6× 553 1.0× 77 2.0k

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
1.
Clayton, Emily, et al.. (2024). Interferon-induced protein with tetratricopeptide repeats 5 of black fruit bat (Pteropus alecto) displays a broad inhibition of RNA viruses. Frontiers in Immunology. 15. 1284056–1284056. 1 indexed citations
2.
Ali, Abid, et al.. (2024). Lumpy Skin Disease: Insights into Molecular Pathogenesis and Control Strategies. Veterinary Sciences. 11(11). 561–561. 6 indexed citations
4.
Hsu, Chao‐Yu, Jing-Wen Huang, Wei‐Ru Huang, et al.. (2023). Oncolytic Avian Reovirus σA-Modulated Upregulation of the HIF-1α/C-myc/glut1 Pathway to Produce More Energy in Different Cancer Cell Lines Benefiting Virus Replication. Viruses. 15(2). 523–523. 8 indexed citations
5.
Duggal, Nisha K., et al.. (2023). Genetic Diversity of Newcastle Disease Virus Involved in the 2021 Outbreaks in Backyard Poultry Farms in Tanzania. Veterinary Sciences. 10(7). 477–477. 7 indexed citations
6.
Al‐Natour, Mohammad Q., et al.. (2022). Evolutionary Trajectories of Avian Avulaviruses and Vaccines Compatibilities in Poultry. Vaccines. 10(11). 1862–1862. 4 indexed citations
7.
Rohaim, Mohammed A., et al.. (2021). Transgenic Chicks Expressing Interferon-Inducible Transmembrane Protein 1 (IFITM1) Restrict Highly Pathogenic H5N1 Influenza Viruses. International Journal of Molecular Sciences. 22(16). 8456–8456. 15 indexed citations
8.
Rohaim, Mohammed A., et al.. (2021). Insights into the Genetic Evolution of Duck Hepatitis A Virus in Egypt. Animals. 11(9). 2741–2741. 8 indexed citations
9.
Rohaim, Mohammed A., Rania F. El Naggar, Emily Clayton, & Muhammad Munir. (2020). Structural and functional insights into non-structural proteins of coronaviruses. Microbial Pathogenesis. 150. 104641–104641. 83 indexed citations
10.
Rohaim, Mohammed A., et al.. (2020). Evolutionary Analysis of Infectious Bronchitis Virus Reveals Marked Genetic Diversity and Recombination Events. Genes. 11(6). 605–605. 33 indexed citations
11.
Rohaim, Mohammed A., et al.. (2019). Genetic Diversity and Phylodynamics of Avian Coronaviruses in Egyptian Wild Birds. Viruses. 11(1). 57–57. 21 indexed citations
12.
Chen, Shilong, Tiehui Fang, Fengqiang Lin, et al.. (2019). Duckling short beak and dwarfism syndrome virus infection activates host innate immune response involving both DNA and RNA sensors. Microbial Pathogenesis. 138. 103816–103816. 1 indexed citations
13.
Li, Jihong, Chunchun Meng, Tingting Ren, et al.. (2018). Production, characterization, and epitope mapping of a monoclonal antibody against genotype VII Newcastle disease virus V protein. Journal of Virological Methods. 260. 88–97. 5 indexed citations
14.
Shabbir, Muhammad Zubair, Aziz Ul‐Rahman, Muhammad Zahid, & Muhammad Munir. (2018). Genetic characterization of small ruminant morbillivirus from recently emerging wave of outbreaks in Pakistan. Transboundary and Emerging Diseases. 65(6). 2032–2038. 6 indexed citations
15.
16.
Munir, Muhammad, et al.. (2013). Serotype Distribution and Demographics of Dengue Patients in a Tertiary Hospital of Lahore, Pakistan during the 2011 Epidemic. SHILAP Revista de lepidopterología. 1 indexed citations
17.
Ahmad, Munir, Muhammad Munir, Iftikhar Ahmad, & Muhammad Yousuf. (2011). Evaluation of bread wheat genotypes for salinity tolerance under saline field conditions. AFRICAN JOURNAL OF BIOTECHNOLOGY. 10(20). 4086–4092. 8 indexed citations
18.
Asif, Muhammad, et al.. (2010). Uptake and distribution pattern of applied abscisic acid (3H-ABA) in normal and hypernodulating soybean varieties. Pakistan Journal of Agricultural Research. 23. 31–36. 1 indexed citations
19.
Munir, Muhammad, et al.. (2009). COMPARATIVE EFFICACY OF SINGLE RADIAL HAEMOLYSIS TEST AND COUNTERCURRENT IMMUNOELECTROOSMO- PHORESIS WITH MONOCLONAL ANTIBODIES-BASED COM- PETITIVE ELISA FOR THE SEROLOGY OF PESTE DES PETITS RUMINANTS IN SHEEP AND GOATS. BULGARIAN JOURNAL OF VETERINARY MEDICINE. 12(4). 246–253. 3 indexed citations
20.
Munir, Muhammad, et al.. (1997). PREVALENCE AND TREATMENT OF GOAT WARBLES IN TAUNSA AND BARKHAN AREA. 2 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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