Muhammad Imran

109 total papers · 2.5k total citations
58 papers, 1.8k citations indexed

About

Muhammad Imran is a scholar working on Molecular Biology, Infectious Diseases and Surgery. According to data from OpenAlex, Muhammad Imran has authored 58 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Infectious Diseases and 6 papers in Surgery. Recurrent topics in Muhammad Imran's work include Bacteriophages and microbial interactions (5 papers), Bacterial biofilms and quorum sensing (4 papers) and Microbial infections and disease research (3 papers). Muhammad Imran is often cited by papers focused on Bacteriophages and microbial interactions (5 papers), Bacterial biofilms and quorum sensing (4 papers) and Microbial infections and disease research (3 papers). Muhammad Imran collaborates with scholars based in Pakistan, Saudi Arabia and United States. Muhammad Imran's co-authors include Muhsin Jamal, Muhammad Asif Nawaz, Fazal Jalil, Tahir Hussain, Saadia Andleeb, Muhammad Ali, Muhammad Asif Rafiq, Wisal Ahmad, Saqib Mahmood and Riffat Yasmin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Life Sciences and Transactions of the Royal Society of Tropical Medicine and Hygiene.

In The Last Decade

Muhammad Imran

51 papers receiving 1.7k citations

Hit Papers

Bacterial biofilm and ass... 2017 2026 2020 2023 2017 250 500 750 1000

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Muhammad Imran 934 307 230 201 183 58 1.8k
Fazal Jalil 826 0.9× 307 1.0× 179 0.8× 198 1.0× 178 1.0× 41 1.6k
Muhammad Ali 890 1.0× 317 1.0× 206 0.9× 251 1.2× 186 1.0× 59 2.1k
Muhammad Asif Nawaz 1.0k 1.1× 338 1.1× 322 1.4× 296 1.5× 195 1.1× 76 2.1k
Darla M. Goeres 1.4k 1.5× 285 0.9× 317 1.4× 232 1.2× 334 1.8× 53 2.2k
Tahir Hussain 895 1.0× 406 1.3× 324 1.4× 410 2.0× 206 1.1× 34 2.0k
Muhsin Jamal 952 1.0× 432 1.4× 211 0.9× 452 2.2× 192 1.0× 61 2.0k
Zoran Jaglic 664 0.7× 301 1.0× 158 0.7× 148 0.7× 133 0.7× 28 1.4k
Theerthankar Das 1.2k 1.3× 334 1.1× 303 1.3× 316 1.6× 160 0.9× 43 2.0k
Laura Selan 953 1.0× 218 0.7× 137 0.6× 126 0.6× 92 0.5× 75 1.6k
Muhammad Asif Rafiq 676 0.7× 239 0.8× 361 1.6× 75 0.4× 180 1.0× 55 2.1k

Countries citing papers authored by Muhammad Imran

Since Specialization
Citations

This map shows the geographic impact of Muhammad Imran'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 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 more than expected).

Fields of papers citing papers by Muhammad Imran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Imran

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Imran. A scholar is included among the top collaborators of Muhammad Imran 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. Muhammad Imran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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