Muhammad Atif

118 papers receiving 2.0k citations

Peers

Muhammad Atif
Comparison fields: 5 of 124
  • Applied Microbiology and Biotechnology 454
  • Geriatrics and Gerontology 332
  • Family Practice 114
  • Infectious Diseases 473
  • Toxicology 42
Replace Johanna C. Meyer with:
Johanna C. Meyer South Africa
Tareq L. Mukattash Jordan
Yu Fang China
Ahmed Awaisu Qatar
Amanj Kurdi United Kingdom
Furqan Khurshid Hashmi Pakistan
W. Claiborne Dunagan United States
Alian A. Alrasheedy Saudi Arabia
Daniel Erku Ethiopia
Joseph Fadare Nigeria
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Citations per field
00.5×9.8×
Johanna C. Meyer · 1×
Citations per year

Countries citing papers authored by Muhammad Atif

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Atif

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Muhammad Atif, 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 Atif Line = papers co-authored together Muhammad Atif links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 124 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201690
2 201683
3 201680
4 201474
5 201973
6 201670
7 201761
8 202152
9 201847
10 201747
11 201244
12 201943
13 201442
14 201939
15 201938
16 201637
17 201634
18 201934
19 201834
20 201732

About Muhammad Atif

Muhammad Atif is a scholar working on Infectious Diseases, Geriatrics and Gerontology, Applied Microbiology and Biotechnology, Epidemiology and Economics and Econometrics, having authored 124 papers that have together received 2.1k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (25 papers), Pharmaceutical Practices and Patient Outcomes (20 papers), Antibiotic Use and Resistance (20 papers), Medication Adherence and Compliance (9 papers), Pharmaceutical Economics and Policy (9 papers), Pneumonia and Respiratory Infections (8 papers), Diabetes Management and Education (6 papers) and Blood Pressure and Hypertension Studies (5 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (454 citations), Geriatrics and Gerontology (332 citations), Family Practice (114 citations), Infectious Diseases (473 citations) and Toxicology (42 citations). Muhammad Atif has collaborated with scholars based in Pakistan, Malaysia and New Zealand. Frequent co-authors include Iram Malik, Muhammad Rehan Sarwar, Shane Scahill, Muhammad Azeem, Zaheer‐Ud‐Din Babar, Nafees Ahmad, Asrul Akmal Shafie, Saima Asghar, Irem Mushtaq and Syed Azhar Syed Sulaiman. Their work appears in journals such as Value in Health, Journal of Pharmaceutical Policy and Practice, SpringerPlus, PLoS ONE and Research in Social and Administrative Pharmacy.

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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