Muhammad Salman

109 papers receiving 1.3k citations

Peers

Muhammad Salman
Comparison fields: 5 of 161
  • Applied Microbiology and Biotechnology 397
  • Modeling and Simulation 130
  • Geriatrics and Gerontology 104
  • Molecular Medicine 91
  • Infectious Diseases 272
Replace Sayeeda Rahman with:
Sayeeda Rahman United Kingdom
Theresa A. Rowe United States
Pui San Tan United Kingdom
Zikria Saleem Pakistan
Awad Al‐Omari Saudi Arabia
Payal Patel United States
Alvin Qijia Chua Singapore
Mohamed Abbas Switzerland
Carolina Marzuillo Italy
Claudia Marotta Italy
Muhammad Salman relative to Sayeeda Rahman United Kingdom Sayeeda Rahman's profile →
Citations per field
00.5×3.3×
Sayeeda Rahman · 1×
Citations per year

Countries citing papers authored by Muhammad Salman

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Salman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 122 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020115
2 201382
3 202071
4 202163
5 202058
6 202150
7
Influence of ASA score and Charlson Comorbidity Index on the surgical site infection rates.
201045
8 202340
9 202037
10 202135
11 202231
12 202128
13 202225
14 202024
15 202224
16 202324
17 201620
18 202219
19 201619
20 201318

About Muhammad Salman

Muhammad Salman is a scholar working on Infectious Diseases, Applied Microbiology and Biotechnology, Epidemiology, Public Health, Environmental and Occupational Health and Clinical Psychology, having authored 122 papers that have together received 1.4k indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (25 papers), COVID-19 and Mental Health (15 papers), SARS-CoV-2 and COVID-19 Research (15 papers), Mosquito-borne diseases and control (13 papers), Vaccine Coverage and Hesitancy (13 papers), COVID-19 epidemiological studies (13 papers), Pharmaceutical Practices and Patient Outcomes (11 papers) and COVID-19 Clinical Research Studies (11 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (397 citations), Modeling and Simulation (130 citations), Geriatrics and Gerontology (104 citations), Molecular Medicine (91 citations) and Infectious Diseases (272 citations). Muhammad Salman has collaborated with scholars based in Pakistan, Malaysia and Saudi Arabia. Frequent co-authors include Zia Ul Mustafa, Naureen Shehzadi, Khalid Hussain, Tahir Mehmood Khan, Brian Godman, Zikria Saleem, Noman Asif, Amer Hayat Khan, Tauqeer Hussain Mallhi and Yusra Habib Khan. Their work appears in journals such as Antibiotics, Expert Review of Anti-infective Therapy, Vaccines, Journal of Medical Virology and Journal of Infection and Public Health.

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.

Explore authors with similar magnitude of impact