Muhammad Kashif

76 total papers · 1.8k total citations
32 papers, 281 citations indexed

About

Muhammad Kashif is a scholar working on Infectious Diseases, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Muhammad Kashif has authored 32 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Infectious Diseases, 3 papers in Surgery and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Muhammad Kashif's work include COVID-19 Pandemic Impacts (3 papers), COVID-19 Clinical Research Studies (2 papers) and Speech and Audio Processing (2 papers). Muhammad Kashif is often cited by papers focused on COVID-19 Pandemic Impacts (3 papers), COVID-19 Clinical Research Studies (2 papers) and Speech and Audio Processing (2 papers). Muhammad Kashif collaborates with scholars based in Pakistan, Saudi Arabia and Bahrain. Muhammad Kashif's co-authors include Muzaffar Asad, Muhammad Asif, Muhammad Abrar ul haq, Umaid A. Sheikh, Anjum Saeed, Ahsan Ali, Hammad Ali, Abdul Waris, Sana Ullah and Kevin Kelly and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Carbohydrate Polymers.

In The Last Decade

Muhammad Kashif

26 papers receiving 269 citations

Author Peers

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

Author Last Decade Papers Cites
Muhammad Kashif 49 48 35 30 27 32 281
Nazim Aimran 40 0.8× 22 0.5× 29 0.8× 46 1.5× 27 1.0× 18 251
Simone Fanelli 48 1.0× 11 0.2× 45 1.3× 32 1.1× 25 0.9× 34 267
Tiandong Wang 28 0.6× 30 0.6× 22 0.6× 13 0.4× 6 0.2× 26 230
Dieudonné Tchuente 34 0.7× 32 0.7× 72 2.1× 35 1.2× 9 0.3× 24 270
Giancarlo Manzi 24 0.5× 27 0.6× 84 2.4× 28 0.9× 22 0.8× 36 293
Sipat Triukose 22 0.4× 31 0.6× 28 0.8× 27 0.9× 11 0.4× 19 262
Selcen Öztürkcan 14 0.3× 52 1.1× 25 0.7× 77 2.6× 52 1.9× 34 244
Arben Asllani 66 1.3× 33 0.7× 8 0.2× 30 1.0× 31 1.1× 30 299
Shashank Vaid 18 0.4× 122 2.5× 24 0.7× 36 1.2× 27 1.0× 14 300
Javier López Gijón 40 0.8× 67 1.4× 15 0.4× 40 1.3× 13 0.5× 25 325

Countries citing papers authored by Muhammad Kashif

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Kashif

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Kashif

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Kashif. A scholar is included among the top collaborators of Muhammad Kashif 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 Kashif. Muhammad Kashif 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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