Hassan A. Hemeg

3.2k citations
96 papers · 2.2k indexed · 1 hit paper · h-index 28

Hassan A. Hemeg

90 papers receiving 2.2k citations

Hit Papers

Nanomaterials for alternative antibacterial therapy3892017202620202023100200300

Peers

Hassan A. Hemeg
Comparison fields: 5 of 136
  • Molecular Medicine 254
  • Endocrinology 131
  • Food Science 414
  • Applied Microbiology and Biotechnology 45
  • Biochemistry 91
Replace Donatella Usai with:
Donatella Usai Italy
Fereshteh Eftekhar Iran
Fen Yao China
Maha Mastouri Tunisia
Paul Stapleton United Kingdom
Saif Hameed India
Xiaodi Niu China
Shahla Mansouri Iran
Rabindra N. Padhy India
Hassan A. Hemeg relative to Donatella Usai Italy Donatella Usai's profile →
Citations per field
00.5×6.8×
Donatella Usai · 1×
Citations per year

Countries citing papers authored by Hassan A. Hemeg

Since Specialization
Citations

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

Fields of papers citing papers by Hassan A. Hemeg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hassan A. Hemeg. 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 Hassan A. Hemeg. The network helps show where Hassan A. Hemeg may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20252
3 20251
4 20237
5 20231
6 202366
7 20233
8 202395
9 20232
10 202223
11 20219
12 202117
13 2020119
14 201911
15 201889
16
Application of MALDI-TOF MS fingerprinting as a quick tool for identification and clustering of foodborne pathogens isolated from food products.
201747
17 201714
18 201546
19 201527
20 201529

About Hassan A. Hemeg

Hassan A. Hemeg is a scholar working on Endocrinology, Molecular Medicine and Food Science, having authored 96 papers that have together received 2.2k indexed citations. Recurring topics across this work include Research on Leishmaniasis Studies (9 papers), Salmonella and Campylobacter epidemiology (7 papers), Nanoparticles: synthesis and applications (7 papers), Phytochemistry and Biological Activities (7 papers), Bacterial Identification and Susceptibility Testing (7 papers), Antibiotic Resistance in Bacteria (6 papers), Antimicrobial Resistance in Staphylococcus (6 papers) and Probiotics and Fermented Foods (6 papers). The work is most often cited by research in Molecular Medicine (254 citations), Endocrinology (131 citations) and Food Science (414 citations). Hassan A. Hemeg has collaborated with scholars based in Saudi Arabia, Pakistan and Egypt. Frequent co-authors include Hani A. Ozbak, Abdur Rauf, Farhat Afrin, Ihab Mohamed Moussa, Ayman Mubarak, Muzamil Y. Want, Garima Chouhan, Mohammad Islamuddin, Polrat Wilairatana and Turki M. Dawoud. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

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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