Muhammad Salman

3.0k citations
129 papers · 1.6k · h-index 20

Impact in

Papers in

Muhammad Salman

114 papers receiving 1.5k citations

Peers

Muhammad Salman
Comparison fields: 5 of 154
  • Applied Microbiology and Biotechnology 379
  • Geriatrics and Gerontology 88
  • Modeling and Simulation 86
  • Health 102
  • Infectious Diseases 222
Replace Zia Ul Mustafa with:
Zia Ul Mustafa Pakistan
Sayeeda Rahman United Kingdom
Sarah Tonkin‐Crine United Kingdom
Sarah Saleem Pakistan
Raheelah Ahmad United Kingdom
Zikria Saleem Pakistan
Tauqeer Hussain Mallhi Saudi Arabia
Yusra Habib Khan Saudi Arabia
Payal Patel United States
Tivani P. Mashamba-Thompson South Africa
Muhammad Salman relative to Zia Ul Mustafa Pakistan Zia Ul Mustafa's profile →
Citations per field
00.5×5×10×15×20×24×
Zia Ul Mustafa · 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 129 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020117
2 2021115
3 201388
4 202072
5 202164
6 202060
7 202151
8
Influence of ASA score and Charlson Comorbidity Index on the surgical site infection rates.
201045
9 202344
10 202038
11 202135
12 202232
13 202128
14 202226
15 202026
16 202225
17 202324
18 202221
19 201620
20 201619

About Muhammad Salman

Muhammad Salman is a scholar working on Infectious Diseases, Applied Microbiology and Biotechnology, Public Health, Environmental and Occupational Health, Epidemiology and Sociology and Political Science, having authored 129 papers that have together received 1.6k indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (25 papers), SARS-CoV-2 and COVID-19 Research (13 papers), Mosquito-borne diseases and control (13 papers), COVID-19 and Mental Health (11 papers), Vaccine Coverage and Hesitancy (10 papers), COVID-19 epidemiological studies (10 papers), Viral Infections and Outbreaks Research (9 papers) and COVID-19 Clinical Research Studies (9 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (379 citations), Geriatrics and Gerontology (88 citations), Modeling and Simulation (86 citations), Health (102 citations) and Infectious Diseases (222 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, Noman Asif, Brian Godman, Zikria Saleem, 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, PLoS ONE 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.

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