Majd Mohammad

580 citations
28 papers · 472 · h-index 13

Impact in

Papers in

Majd Mohammad

26 papers receiving 469 citations

Peers

Majd Mohammad
Comparison fields: 5 of 69
  • Microbiology 81
  • Infectious Diseases 181
  • Immunology 171
  • Clinical Biochemistry 35
  • Surgery 160
Replace Abukar Ali with:
Abukar Ali Sweden
Sheila N. Bello‐Irizarry United States
Aleeza J. Roth United States
Åsa Nilsdotter‐Augustinsson Sweden
Laura M. Palma Medina Netherlands
Maria Nordengrün Germany
Niklas Palmqvist Sweden
Udo Lorenz Germany
Alison G. Murphy Ireland
Peter M. Broglie United States
Majd Mohammad relative to Abukar Ali Sweden Abukar Ali's profile →
Citations per field
00.5×1.5×
Abukar Ali · 1×
Citations per year

Countries citing papers authored by Majd Mohammad

Since Specialization
Citations

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

Fields of papers citing papers by Majd Mohammad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202156
2 201547
3 201536
4 201931
5 202129
6 201726
7 202025
8 202024
9 201724
10 202023
11 202119
12 202219
13 201915
14 202311
15 202310
16 201610
17 202210
18 202210
19 201810
20 202310

About Majd Mohammad

Majd Mohammad is a scholar working on Infectious Diseases, Surgery, Immunology, Molecular Biology and Clinical Biochemistry, having authored 28 papers that have together received 472 indexed citations. Recurring topics across this work include Orthopedic Infections and Treatments (12 papers), Antimicrobial Resistance in Staphylococcus (11 papers), Immune Response and Inflammation (11 papers), Bacterial biofilms and quorum sensing (5 papers), Bone Metabolism and Diseases (3 papers), Antimicrobial Peptides and Activities (3 papers), Streptococcal Infections and Treatments (2 papers) and S100 Proteins and Annexins (2 papers). The work is most often cited by research in Microbiology (81 citations), Infectious Diseases (181 citations), Immunology (171 citations), Clinical Biochemistry (35 citations) and Surgery (160 citations). Majd Mohammad has collaborated with scholars based in Sweden, China and Germany. Frequent co-authors include Tao Jin, Abukar Ali, Rille Pullerits, Manli Na, Zhicheng Hu, Anders Jarneborn, Friedrich Götz, Minh‐Thu Nguyen, Pradeep Kumar Kopparapu and Cecilia Engdahl. Their work appears in journals such as Scientific Reports, Frontiers in Microbiology, The Journal of Infectious Diseases, PLoS ONE and Pathogens.

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