Muhammad Saeed

40 papers receiving 261 citations

Peers

Muhammad Saeed
Comparison fields: 5 of 73
  • Molecular Medicine 59
  • Applied Microbiology and Biotechnology 17
  • Drug Discovery 1
  • Endocrinology 27
  • Infectious Diseases 68
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Citations per year

Countries citing papers authored by Muhammad Saeed

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Saeed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202040
2 202034
3 201730
4
GeneXpert: A new tool for the rapid detection of rifampicin resistance in mycobacterium tuberculosis.
201723
5 202019
6
Silent killers: Transfusion Transmissible Infections-TTI, among asymptomatic population of Pakistan.
201716
7 201810
8 20178
9 20218
10 20167
11 20195
12 20245
13 20195
14 20195
15
DISSEMINATION AND DETECTION OF CARBAPENEMASES PRODUCING GRAM-NEGATIVE RODS
20194
16 20204
17 20164
18
In-Vitro Assessment Of The Therapeutic Potential Of Polymyxins And Tigecycline Against Multidrugresistant Acinetobacter Isolates From Infected Wounds.
20214
19 20203
20 20243

About Muhammad Saeed

Muhammad Saeed is a scholar working on Epidemiology, Infectious Diseases, Molecular Medicine, Hepatology and Surgery, having authored 46 papers that have together received 270 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (10 papers), Tuberculosis Research and Epidemiology (7 papers), Hepatitis B Virus Studies (5 papers), Vibrio bacteria research studies (4 papers), Hepatitis C virus research (4 papers), Antibiotic Use and Resistance (4 papers), Bacterial Identification and Susceptibility Testing (4 papers) and Blood groups and transfusion (3 papers). The work is most often cited by research in Molecular Medicine (59 citations), Applied Microbiology and Biotechnology (17 citations), Drug Discovery (1 citation), Endocrinology (27 citations) and Infectious Diseases (68 citations). Muhammad Saeed has collaborated with scholars based in Pakistan, United States and United Kingdom. Frequent co-authors include Muhammad Hidayat Rasool, Mohsin Khurshid, Aamer Ikram, Muhammad Atif Nisar, Muhammad Saqalein, Mobeen Ahmad, M. Sharif, Nabil-Fareed Alikhan, Muhammad Fayyaz ur Rehman and Saba Riaz. Their work appears in journals such as International Journal of Infectious Diseases, Journal of King Saud University - Science, Transboundary and Emerging Diseases, Infection and Drug Resistance and The Journal of Infection in Developing Countries.

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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