Khalid M Dousa

520 citations
31 papers · 342 · h-index 13

Impact in

    • Actinomycetales infections and treatment
    • Tuberculosis Research and Epidemiology
    • COVID-19 Clinical Research Studies

Papers in

    • Tuberculosis Research and Epidemiology 13
    • COVID-19 Clinical Research Studies 2
    • Mycobacterium research and diagnosis 14

Khalid M Dousa

27 papers receiving 339 citations

Peers

Khalid M Dousa
Comparison fields: 5 of 55
  • Microbiology 16
  • Infectious Diseases 165
  • Molecular Medicine 38
  • Applied Microbiology and Biotechnology 12
  • Epidemiology 189
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Khalid M Dousa relative to Masoud Shamaei Iran Masoud Shamaei's profile →
Citations per field
00.5×2×4×6×7.6×
Masoud Shamaei · 1×
Citations per year

Countries citing papers authored by Khalid M Dousa

Since Specialization
Citations

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

Fields of papers citing papers by Khalid M Dousa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Khalid M Dousa. 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 Khalid M Dousa. The network helps show where Khalid M Dousa may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202044
2 202232
3 202132
4 202128
5 201927
6 201820
7 201218
8 202016
9 201815
10 202315
11 202414
12 202013
13 202313
14 20248
15 20208
16 20248
17 20197
18 20186
19 20253
20 20183

About Khalid M Dousa

Khalid M Dousa is a scholar working on Infectious Diseases, Epidemiology, Molecular Medicine, Organic Chemistry and Microbiology, having authored 31 papers that have together received 342 indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (14 papers), Tuberculosis Research and Epidemiology (13 papers), Quinazolinone synthesis and applications (6 papers), Antibiotic Resistance in Bacteria (3 papers), Infection Control and Ventilation (2 papers), COVID-19 Clinical Research Studies (2 papers), Actinomycetales infections and treatment (2 papers) and Infectious Diseases and Tuberculosis (2 papers). The work is most often cited by research in Microbiology (16 citations), Infectious Diseases (165 citations), Molecular Medicine (38 citations), Applied Microbiology and Biotechnology (12 citations) and Epidemiology (189 citations). Khalid M Dousa has collaborated with scholars based in United States, Qatar and Germany. Frequent co-authors include Robert A. Bonomo, Sebastian G. Kurz, Charles L. Daley, W. Henry Boom, Barry N. Kreiswirth, Steven M. Holland, Christopher R. Bethel, Magdalena A. Taracila, John L. Johnson and Sheldon T. Brown. Their work appears in journals such as Open Forum Infectious Diseases, Antimicrobial Agents and Chemotherapy, mBio, Clinical Infectious Diseases and Infection Control and Hospital Epidemiology.

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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