Muhammad Munir

4.1k citations
165 papers · 2.9k · h-index 29

Impact in

Papers in

Muhammad Munir

158 papers receiving 2.8k citations

Peers

Muhammad Munir
Comparison fields: 5 of 120
  • Animal Science and Zoology 681
  • Infectious Diseases 990
  • Agronomy and Crop Science 540
  • Epidemiology 1.2k
  • Immunology 468
Replace Yuko Sakai with:
Yuko Sakai Japan
Li Gao China
Javier Ortego Spain
Shengbo Cao China
Earl G. Brown Canada
José I. Núñez Spain
Ping Jiang China
Steven G. Widen United States
Paul Britton United Kingdom
David A. Boltz United States
Muhammad Munir relative to Yuko Sakai Japan Yuko Sakai's profile →
Citations per field
00.5×6.3×
Yuko Sakai · 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 165 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998286
2 2017126
3 202087
4 201379
5 201378
6 201674
7 201267
8 201058
9 199853
10 199552
11 201351
12 201851
13 201250
14 202349
15 201845
16 201344
17 201142
18 201538
19 201737
20 201637

About Muhammad Munir

Muhammad Munir is a scholar working on Epidemiology, Infectious Diseases, Agronomy and Crop Science, Animal Science and Zoology and Molecular Biology, having authored 165 papers that have together received 2.9k indexed citations. Recurring topics across this work include Virology and Viral Diseases (51 papers), Animal Disease Management and Epidemiology (39 papers), Animal Virus Infections Studies (37 papers), Viral Infections and Vectors (37 papers), Vector-Borne Animal Diseases (28 papers), Viral gastroenteritis research and epidemiology (17 papers), interferon and immune responses (16 papers) and Virus-based gene therapy research (15 papers). The work is most often cited by research in Animal Science and Zoology (681 citations), Infectious Diseases (990 citations), Agronomy and Crop Science (540 citations), Epidemiology (1.2k citations) and Immunology (468 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, Michael B. Robinson, Rania F. El Naggar, Diwakar Santhakumar, Olga Zelenaia, Avtandil Kalandadze, Jeffrey D. Rothstein and Emily Clayton. Their work appears in journals such as Transboundary and Emerging Diseases, Vaccines, Journal of Virology, Virus Genes and Frontiers in Immunology.

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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