MM Hafeez

51 papers receiving 348 citations

Peers

MM Hafeez
Comparison fields: 5 of 99
  • Biochemistry 42
  • Drug Discovery 1
  • Food Science 85
  • Plant Science 159
  • Applied Microbiology and Biotechnology 8
Replace Sasikala Chinnappan with:
Sasikala Chinnappan Malaysia
Delia Ioana Horhat Romania
Ionela Sârbu Romania
Rekha Boloor India
Osamuyimen Igbinosa United States
Paula Cristina Aníbal Brazil
Kate Nelson United States
Assia Hamdi Tunisia
Antonio Carraturo Italy
Farhan Fazal India
MM Hafeez relative to Sasikala Chinnappan Malaysia Sasikala Chinnappan's profile →
Citations per field
00.5×4.3×
Sasikala Chinnappan · 1×
Citations per year

Countries citing papers authored by MM Hafeez

Since Specialization
Citations

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

Fields of papers citing papers by MM Hafeez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202079
2 202135
3 202026
4 202120
5 202020
6 202116
7 202015
8 202012
9 202011
10 20218
11 20208
12 20218
13 20208
14
Frequency of intrahepatic cholestasis of pregnancy in Punjab Pakistan: A single centre study.
20167
15 20217
16 20205
17 20205
18 20185
19 20154
20 20214

About MM Hafeez

MM Hafeez is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Plant Science and Pulmonary and Respiratory Medicine, having authored 56 papers that have together received 354 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (10 papers), Liver Disease Diagnosis and Treatment (4 papers), COVID-19 diagnosis using AI (3 papers), Long-Term Effects of COVID-19 (3 papers), Seed and Plant Biochemistry (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Tuberculosis Research and Epidemiology (2 papers) and COVID-19 Pandemic Impacts (2 papers). The work is most often cited by research in Biochemistry (42 citations), Drug Discovery (1 citation), Food Science (85 citations), Plant Science (159 citations) and Applied Microbiology and Biotechnology (8 citations). MM Hafeez has collaborated with scholars based in Pakistan, Czechia and Italy. Frequent co-authors include Qurban Ali, Arif Malik, Radwan Khalil, Munawar Saleem Ahmad, MA Rana, Amjad Salamat, Syed Maaz Tariq, Faryal Mehwish Awan, Sania S. Raza and Anam Naz. Their work appears in journals such as Journal of Clinical Oncology, Saudi Pharmaceutical Journal, BMJ Open Gastroenterology, European Journal of Cancer and Bioinformatics and Biology Insights.

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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