Mohammad Faheem

43 papers receiving 466 citations

Peers

Mohammad Faheem
Comparison fields: 5 of 104
  • Molecular Medicine 130
  • Applied Microbiology and Biotechnology 11
  • Infectious Diseases 73
  • Pharmacology 60
  • Computational Theory and Mathematics 63
Replace Eleonora Gianquinto with:
Eleonora Gianquinto Italy
Vemula Sarojamma India
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Chengwen Teng United States
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Citations per field
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Citations per year

Countries citing papers authored by Mohammad Faheem

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Faheem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202155
2 201354
3 201731
4 201628
5 201827
6 201026
7 201525
8 201724
9 201323
10
Does BMI affect cholesterol, sugar, and blood pressure in general population?
201219
11 201517
12 201417
13 201814
14 201312
15
Porocarcinoma: a rare sweat gland malignancy.
200911
16 201310
17 20179
18 20198
19 20238
20
Accuracy of 12 lead ECG for diagnosis of posterior myocardial infarction
20147

About Mohammad Faheem

Mohammad Faheem is a scholar working on Surgery, Molecular Biology, Epidemiology, Pulmonary and Respiratory Medicine and Molecular Medicine, having authored 50 papers that have together received 495 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (8 papers), Tuberculosis Research and Epidemiology (5 papers), Cervical Cancer and HPV Research (3 papers), Trauma Management and Diagnosis (3 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers), Testicular diseases and treatments (2 papers), Epigenetics and DNA Methylation (2 papers) and Bacterial biofilms and quorum sensing (2 papers). The work is most often cited by research in Molecular Medicine (130 citations), Applied Microbiology and Biotechnology (11 citations), Infectious Diseases (73 citations), Pharmacology (60 citations) and Computational Theory and Mathematics (63 citations). Mohammad Faheem has collaborated with scholars based in Pakistan, India and United States. Frequent co-authors include Mohd Danishuddin, Asad U. Khan, Md Tabish Rehman, Vikas Kumar, Keun Woo Lee, Deepa Bisht, Divakar Sharma, Kalaiarasan Ponnusamy, Beenu Joshi and Krishnamurthy Venkatesan. Their work appears in journals such as PLoS ONE, International Journal of Infectious Diseases, Drug Discovery Today, Journal of Clinical Laboratory Analysis and European Journal of Anaesthesiology.

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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