Muhammad Imran Arshad

1.2k total citations
71 papers, 804 citations indexed

About

Muhammad Imran Arshad is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Muhammad Imran Arshad has authored 71 papers receiving a total of 804 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 9 papers in Infectious Diseases and 9 papers in Epidemiology. Recurrent topics in Muhammad Imran Arshad's work include Liver Disease Diagnosis and Treatment (7 papers), Antibiotic Resistance in Bacteria (5 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). Muhammad Imran Arshad is often cited by papers focused on Liver Disease Diagnosis and Treatment (7 papers), Antibiotic Resistance in Bacteria (5 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). Muhammad Imran Arshad collaborates with scholars based in Pakistan, China and Saudi Arabia. Muhammad Imran Arshad's co-authors include Junaid Khan, Zafar Iqbal, Rao Zahid Abbas, Haroon Rashid, Naveed Shahzad, Muhammad Nisar Khan, Asif Iqbal, Tauseef Ur Rehman, Muhammad Sohail Sajid and Muhammad Ashraf and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Microbiology and Pharmacology & Therapeutics.

In The Last Decade

Muhammad Imran Arshad

63 papers receiving 777 citations

Peers

Muhammad Imran Arshad
Comparison fields: 5 of 119
  • Molecular Biology 249
  • Animal Science and Zoology 123
  • Epidemiology 112
  • Small Animals 102
  • Infectious Diseases 92
Replace Pejvak Khaki with:
Pejvak Khaki Iran
Cristiana Maurella Italy
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Tomás Martín‐Jiménez United States
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Lea-Maxie Haag Germany
Shoaib Ashraf United States
Aymn T. Abbas Egypt
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Citations per field, relative to Muhammad Imran Arshad
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Citations per year, relative to Muhammad Imran Arshad
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Countries citing papers authored by Muhammad Imran Arshad

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Imran Arshad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Imran Arshad

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Imran Arshad. A scholar is included among the top collaborators of Muhammad Imran Arshad 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 Imran Arshad. Muhammad Imran Arshad 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
# Work Indexed citations
1 4
2 0
3 0
4 0
5 1
6 3
7 2
8 7
9 2
10 9
11 15
12 6
13 1
14 13
15 5
16 1
17 48
18 16
19 20
20 16

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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