Muhammad Asim

788 total citations
68 papers, 552 citations indexed

About

Muhammad Asim is a scholar working on Epidemiology, Surgery and Infectious Diseases. According to data from OpenAlex, Muhammad Asim has authored 68 papers receiving a total of 552 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 11 papers in Surgery and 9 papers in Infectious Diseases. Recurrent topics in Muhammad Asim's work include Liver Disease Diagnosis and Treatment (7 papers), Dialysis and Renal Disease Management (5 papers) and Phytochemicals and Antioxidant Activities (5 papers). Muhammad Asim is often cited by papers focused on Liver Disease Diagnosis and Treatment (7 papers), Dialysis and Renal Disease Management (5 papers) and Phytochemicals and Antioxidant Activities (5 papers). Muhammad Asim collaborates with scholars based in Pakistan, Qatar and United States. Muhammad Asim's co-authors include Volker Nickeleit, Li Lin, Pierre S. Haddad, Ammar Saleem, V. Sarath Babu, Jun Li, Jiang-Feng Lan, Meng Zhou, Quanyuan Wan and Lijuan Zhao and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of the American Society of Nephrology.

In The Last Decade

Muhammad Asim

54 papers receiving 540 citations

Peers

Muhammad Asim
Comparison fields: 5 of 114
  • Immunology 122
  • Infectious Diseases 88
  • Molecular Biology 77
  • Epidemiology 75
  • Plant Science 65
Replace Chen-Yu Wang with:
Chen-Yu Wang China
Qiao Sun China
Seon Hee Woo South Korea
Conor Doherty United Kingdom
Takeshi Nishida Japan
Yoshiko Nakamura Japan
Emmanuel Bhaskar India
Rachel M. Golonka United States
Yehezkel Naveh Israel
Deenaz Zaidi Canada
Chen-Yu Wang China View profile →
Citations per field, relative to Muhammad Asim
Muhammad Asim · 1×
Citations per year, relative to Muhammad Asim
Muhammad Asim · 1×

Countries citing papers authored by Muhammad Asim

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Asim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Asim

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Asim. A scholar is included among the top collaborators of Muhammad Asim 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 Asim. Muhammad Asim 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 0
2 0
3 0
4 6
5 1
6 0
7 1
8 3
9 2
10 9
11 12
12 82
13 4
14 5
15 43
16 6
17 24
18 3
19 34
20 57

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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